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IOSR Journal of Computer Engineering (IOSR-JCE) vol.17 issue.1 version.6
Correlation Coefficient Based Average Textual Similarity Model for Informatio...
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Due to the increasing amount and complexity of digital resources, there are several critical issues that arise in digital environments such as ill-structured and poor management of digital information. Different information organization approaches have been used to address these issues. In particular, Semantic Web has been explored for 10 years; however there are not many practical applications. This is in part due to the fact that much attention has been given to the creation rather than the migration of existing data. In addition, the lack of guidelines for choosing the right migration approach, whether Topic Maps or Resource Description Framework (RDF), needs to be addressed. This paper presents a comparison of Semantic Web Data Models (Topic Maps and RDF), followed by an example of migration of existing metadata into ontology-based data for Semantic Web.
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The manual process of searching out individuals in an already existing research field is cumbersome and time-consuming. Prominent and rookie researchers alike are predisposed to seek existing research publications in a research field of interest before coming up with a thesis. From extant literature, automated similar research area detection systems have been developed to solve this problem. However, most of them use keyword-matching techniques, which do not sufficiently capture the implicit semantics of keywords thereby leaving out some research articles. In this study, we propose the use of ontology-based pre-processing, Latent Semantic Indexing and K-Means Clustering to develop a prototype similar research area detection system, that can be used to determine similar research domain publications. Our proposed system solves the challenge of high dimensionality and data sparsity faced by the traditional document clustering technique. Our system is evaluated with randomly selected publications from faculties in Nigerian universities and results show that the integration of ontologies in preprocessing provides more accurate clustering results.
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The rate of scientific literature has been increased in the past few decades; new topics and information is added in the form of articles, papers, text documents, web logs, and patents. The growth of information at rapid rate caused a tremendous amount of additions in the current and past knowledge, during this process, new topics emerged, some topics split into many other sub-topics, on the other hand, many topics merge to formed single topic. The selection and search of a topic manually in such a huge amount of information have been found as an expensive and workforce-intensive task. For the emerging need of an automatic process to locate, organize, connect, and make associations among these sources the researchers have proposed different techniques that automatically extract components of the information presented in various formats and organize or structure them. The targeted data which is going to be processed for component extraction might be in the form of text, video or audio. The addition of different algorithms has structured information and grouped similar information into clusters and on the basis of their importance, weighted them. The organized, structured and weighted data is then compared with other structures to find similarity with the use of various algorithms. The semantic patterns can be found by employing visualization techniques that show similarity or relation between topics over time or related to a specific event. In this paper, we have proposed a model based on Cosine Similarity Algorithm for citation network which will answer the questions like, how to connect documents with the help of citation and content similarity and how to visualize and navigate through the document.
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Presentation of the paper: Advantages of query biased summaries in information retrieval (1998) Anastasios Tombros and Mark Sanderson. In Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR '98). ACM, New York, NY, USA, 2-10. DOI=10.1145/290941.290947
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Due to the increasing amount and complexity of digital resources, there are several critical issues that arise in digital environments such as ill-structured and poor management of digital information. Different information organization approaches have been used to address these issues. In particular, Semantic Web has been explored for 10 years; however there are not many practical applications. This is in part due to the fact that much attention has been given to the creation rather than the migration of existing data. In addition, the lack of guidelines for choosing the right migration approach, whether Topic Maps or Resource Description Framework (RDF), needs to be addressed. This paper presents a comparison of Semantic Web Data Models (Topic Maps and RDF), followed by an example of migration of existing metadata into ontology-based data for Semantic Web.
A Topic map-based ontology IR system versus Clustering-based IR System: A Com...
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tmra
The manual process of searching out individuals in an already existing research field is cumbersome and time-consuming. Prominent and rookie researchers alike are predisposed to seek existing research publications in a research field of interest before coming up with a thesis. From extant literature, automated similar research area detection systems have been developed to solve this problem. However, most of them use keyword-matching techniques, which do not sufficiently capture the implicit semantics of keywords thereby leaving out some research articles. In this study, we propose the use of ontology-based pre-processing, Latent Semantic Indexing and K-Means Clustering to develop a prototype similar research area detection system, that can be used to determine similar research domain publications. Our proposed system solves the challenge of high dimensionality and data sparsity faced by the traditional document clustering technique. Our system is evaluated with randomly selected publications from faculties in Nigerian universities and results show that the integration of ontologies in preprocessing provides more accurate clustering results.
Semantics-based clustering approach for similar research area detection
Semantics-based clustering approach for similar research area detection
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CLAIR: Computational Linguistics And Information Retrieval
CLAIR: Computational Linguistics And Information Retrieval
butest
The rate of scientific literature has been increased in the past few decades; new topics and information is added in the form of articles, papers, text documents, web logs, and patents. The growth of information at rapid rate caused a tremendous amount of additions in the current and past knowledge, during this process, new topics emerged, some topics split into many other sub-topics, on the other hand, many topics merge to formed single topic. The selection and search of a topic manually in such a huge amount of information have been found as an expensive and workforce-intensive task. For the emerging need of an automatic process to locate, organize, connect, and make associations among these sources the researchers have proposed different techniques that automatically extract components of the information presented in various formats and organize or structure them. The targeted data which is going to be processed for component extraction might be in the form of text, video or audio. The addition of different algorithms has structured information and grouped similar information into clusters and on the basis of their importance, weighted them. The organized, structured and weighted data is then compared with other structures to find similarity with the use of various algorithms. The semantic patterns can be found by employing visualization techniques that show similarity or relation between topics over time or related to a specific event. In this paper, we have proposed a model based on Cosine Similarity Algorithm for citation network which will answer the questions like, how to connect documents with the help of citation and content similarity and how to visualize and navigate through the document.
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Presentation of the paper: Advantages of query biased summaries in information retrieval (1998) Anastasios Tombros and Mark Sanderson. In Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR '98). ACM, New York, NY, USA, 2-10. DOI=10.1145/290941.290947
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Bl24409420
IJERA Editor
1 Nova Southeastern University College of Computing and Engineering Master of Management Information Systems MMIS 643 Data Mining Fall 2019 (August 19 – December 8, 2019) Class Project Due Date: November 17, 2019 (Firm) Instructor: Dr. Junping Sun In this project, you will be expected to do a comprehensive literature search and survey, select and study a specific topic in one subject area of data mining and its applications in business intelligence and analytics (BIA), and write a research paper on the selected topic by yourself. The research paper you are required to write can be a detailed comprehensive study on some specific topic or the original research work that will have been done by yourself. Requirements and Instructions for the Research Paper: 1. The objective of the paper should be very clear about subject, scope, domain, and the goals to be achieved. 2. The paper should address the important advanced and critical issues in a specific area of data mining and its applications in business intelligence and analytics. Your research paper should emphasize not only breadth of coverage, but also depth of coverage in the specific area. 3. The research paper should give the measurable conclusions and future research directions (this is your contribution). 4. It might be beneficial to review or browse through about 15 to 20 relevant technical articles before you make decision on the topic of the research project. 5. The research paper can be: a. Literature review papers on data mining techniques and their applications for business intelligence and analytics. b. Study and examination of data mining techniques in depth with technical details. c. Applied research that applies a data mining method to solve a real world application in terms of the domain of BIA. 6. The research paper should reflect the quality at certain academic research level. 7. The paper should be about at least 3000-3500 words double space. 8. The paper should include adequate abstraction or introduction, and reference list. 9. Please write the paper in your words and statements, and please give the names of references, citations, and resources of reference materials if you want to use the statements from other reference articles. 2 10. From the systematic study point of view, you may want to read a list of technical papers from relevant magazines, journals, conference proceedings and theses in the area of the topic you choose. 11. For the format and style of your research paper, please make reference to CEC Dissertation Guide (http://cec.nova.edu/doctoral/documents/nsu-cec-dissertation-guides.html), Publication Manual of APA, or the format of ACM and IEEE journal publications. Suggested and Possible Topics for Written Report (But Not Limited) Supervised Learning Methods: Classification Methods: Regression Methods Multiple Linear Regression Logistic Regression ...
1 Nova Southeastern University College of Computing.docx
1 Nova Southeastern University College of Computing.docx
ShiraPrater50
Diversity and representation in coordination of interdisciplinary research projects
20080509 Friday Food Manchester United Business School
20080509 Friday Food Manchester United Business School
imec.archive
Presentation made during ICADIWT'15 on Feb 12 2015 at Hong Kong
Rec4LRW – Scientific Paper Recommender System for Literature Review and Writing
Rec4LRW – Scientific Paper Recommender System for Literature Review and Writing
Aravind Sesagiri Raamkumar
Presentation at conference 31 10_13
Presentation at conference 31 10_13
Dr. Vignes Gopal
Wouldn't be great to have a single metric to measure the software architecture understandability for an Object-Oriented System.
Thesis Proposal Presentation
Thesis Proposal Presentation
Turki Alshammary (CBAP, PMI-PBA, PMP)
This article will introduce some approaches for improving text categorization models by integrating previously imported ontologies. From the Reuters Corpus Volume I (RCV1) dataset, some categories very similar in content and related to telecommunications, Internet and computer areas were selected for models experiments. Several domain ontologies, covering these areas were built and integrated to categorization models for their improvements.
ONTOLOGY INTEGRATION APPROACHES AND ITS IMPACT ON TEXT CATEGORIZATION
ONTOLOGY INTEGRATION APPROACHES AND ITS IMPACT ON TEXT CATEGORIZATION
IJDKP
thesis writing
Methodology chapter
Methodology chapter
engrhassan21
Presentation at the Colloquium Research Information Systems and Science Classifications: Revisiting the NARCIS Classification, Museum Meermanno, The Hague, The Netherlands, September 28, 2018.
Scientometric approaches to classification
Scientometric approaches to classification
Nees Jan van Eck
Talk at CNI 2015 Spring Membership Meeting in Seattle on April 14th, 2015, see http://www.cni.org/events/membership-meetings/upcoming-meeting/spring-2015/ Abstract: The goal of the InFoLiS project is to connect research data and publications. Links between data and literature are created automatically by means of text mining and made available as Linked Open Data (LOD) for seamless integration into different retrieval systems. This enables scientists to directly access information about corresponding research data in a literature information system, and, vice versa, it is possible to directly find different interpretations and analyses in the literature of the same research data. In our talk, we will describe our methods for generating the links and give insight into the Linked Data infrastructure including the services we are currently building. Most importantly, we will detail how our solutions can be used by other institutions and invite all interested participants to discuss with us their ideas and thoughts on the requirements for these services to ensure broad interoperability with existing systems and infrastructures. InFoLiS is a joint project by the GESIS – Leibniz Institute for the Social Sciences, Cologne, Mannheim University Library, and Mannheim University supported by a grant from the DFG – German Research Foundation.
Integration of research literature and data (InFoLiS)
Integration of research literature and data (InFoLiS)
Philipp Zumstein
Assignment Writing Service http://StudyHub.vip/A-Social-Network-Empowered-Research-Ana 👈
A Social Network-Empowered Research Analytics Framework For Project Selection
A Social Network-Empowered Research Analytics Framework For Project Selection
Nat Rice
Similar to Chang network analysis
(20)
D1802023136
D1802023136
Comparison of Techniques for Measuring Research Coverage of Scientific Papers...
Comparison of Techniques for Measuring Research Coverage of Scientific Papers...
Research Paper Selection Based On an Ontology and Text Mining Technique Using...
Research Paper Selection Based On an Ontology and Text Mining Technique Using...
M017116571
M017116571
Research on ontology based information retrieval techniques
Research on ontology based information retrieval techniques
Inter-institutional scientific collaboration networks
Inter-institutional scientific collaboration networks
Collaborative research network and scientific productivity
Collaborative research network and scientific productivity
Educational Technology Research Trends: Examining Six SSCI-indexed Refereed ...
Educational Technology Research Trends: Examining Six SSCI-indexed Refereed ...
EASE 2019 keynote
EASE 2019 keynote
Bl24409420
Bl24409420
1 Nova Southeastern University College of Computing.docx
1 Nova Southeastern University College of Computing.docx
20080509 Friday Food Manchester United Business School
20080509 Friday Food Manchester United Business School
Rec4LRW – Scientific Paper Recommender System for Literature Review and Writing
Rec4LRW – Scientific Paper Recommender System for Literature Review and Writing
Presentation at conference 31 10_13
Presentation at conference 31 10_13
Thesis Proposal Presentation
Thesis Proposal Presentation
ONTOLOGY INTEGRATION APPROACHES AND ITS IMPACT ON TEXT CATEGORIZATION
ONTOLOGY INTEGRATION APPROACHES AND ITS IMPACT ON TEXT CATEGORIZATION
Methodology chapter
Methodology chapter
Scientometric approaches to classification
Scientometric approaches to classification
Integration of research literature and data (InFoLiS)
Integration of research literature and data (InFoLiS)
A Social Network-Empowered Research Analytics Framework For Project Selection
A Social Network-Empowered Research Analytics Framework For Project Selection
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Han Woo PARK
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Journal of Contemporary Eastern Asia (ISSN 2383-9449) is a refereed biannual journal that takes a lead on a new scholarship in Asia. In the past, the JCEA was dedicated to the study of current political, social and economic trends in East and Southeast Asia. But now, the JCEA finds unique aspects of Asian scholarship by expanding its scope to (socio-technical) convergence and future (network) studies. The JCEA editors are working very hard to boost the scholarly presence of new Asian scholarship around the world and secure its reputation as an emerging world-class publishing outlet. The editors welcome manuscripts based on original research or significant reexamination of existing literature.
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Another Interdisciplinary Transformation: Beyond an Area-studies Journal
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암호화폐에 대해 적극 규제 입장을 보이는 정부에 대해 아쉬움을 드러내며 청와대에 규제 반대 청원을 낸 영남대 사이버감성연구소 박한우 교수. 국내 빅 데이터 연구 권위자로 잘 알려진 그는 지금까지 100여 편에 달하는 관련 논문을 게재하며 빅 데이터를 통해 사회를 해석하고 있는 학자다. 게다가 빅 데이터를 활용한 여론조사 특허까지 획득하며 빅 데이터 연구의 체계를 잡아가고 있다. 그런 그가 암호화폐 규제 반대에 대한 이유와 블록체인 기술과 정부가 해야 할 일에 대해 의견을 들었다. 1. 청와대에 가상화폐 규제를 반대하는 청원을 낸 것으로 알고 있다. 가상화폐 규제에 반대 하는 이유는 무엇인가 가상화페는 오역된 단어이다. 엄격히 말하면, 암호화폐가 맞다. 세계 암호화페 시장은 기축통화인 비트코인 그리고 이더리움 등 알트코인을 포함하면 약 700여 개가 등록되어 있다. 앞으로 3,000여 개가 등록 준비 중이다. 우리나라도 미래자산으로서 비트코인 거래가 활성화되고 있다. 현재 암호화폐 시장에 특히 한국시장에 유독 과열이 심한 건 맞다고 본다. 상징적인 가격대인 1만 달러를 넘으면서 우리나라 뿐 아니라 전 세계 각국에서도 고민이 커져가고 있는 것도 사실이다. 그러나 문재인 정부가 이러한 트렌드에 제대로 부응하려면, 암호화폐 분야의 세계적 동향과 국내 현황 간 미스매치를 언급하며 정책적 지원이 필요함을 역설해야지 규제를 말할 단계가 아니다. close 2. 가상화폐 규제 시 어떤 문제점이 발생할 것이라 예상되는가 신호등 효과가 발생할 것이다. 청색등에서 적색으로 바뀌기 전 황색등 기간에 더 많은 부작용이 생겨날 것이다. 일확천금의 마지막 기회라고 생각해서 시장이 더 불안정해질 것이며, 아노미 상태가 될 것이다. 규제의 근거로서 청소년과 주부의 무분별한 투기행태를 언급하는 것은 적폐대상인 탁상행정을 다시 보여주는 것이다. 2018년 중등 교육과정에 코딩수업이 정규과정으로 포함된다. 코딩수업에서 우리의 청소년이 꿈꾸어야 할 직업은 무엇인가? 그것은 바로 글로벌 경쟁력을 지닌 암호화폐를 개발하는 것이다. 이더리움은 러시아 프로그래머인 비탈릭 부테린이 개발했다. 고학력의 경력단절 여성들이 육아와 가사를 병행하면서 할 수 있는 무엇인가? 모바일 금융거래사로서 새로운 사회적 성장동력이 되는 것이다. 상황이 이러함에도 불구하고, 새로운 정부는 기술의 편의성과 위험성 이슈를 운운하는 구태를 드러내고 있다, 기능이 겹치거나 기술이 완성되지 못한 암호화폐는 자연도태 되게 되어있다. 정부에서도 무조건적인 투자, 투기라기보다는 위험성을 제대로 알려주면서 암호화폐의 건전한 발전을 위한 제도를 만들어 나가는 게 필요하다고 본다. 암호화폐나 블록체인이 우리 국가를 어떻게 더 나은 사회로 만들 수 있는지에 대해 새로운 정책을 만들고 그 정책에 따라 규제를 연결지어 나오는게 더 올바르지 않을까 생각한다. close 3. 암호화폐와 블록체인 기술의 가능성에 대해 어떻게 보고있는가 미국 시카고 선물시장에서 비트코인 거래가 개시되었다. 이것이 암호화폐의 제도권 진입을 공식화하지는 않지만, 신기루처럼 허구는 아닐 수 있다는 것을 드러낸다. 2018년에는 비트코인 거래의 대중화와 캐쉬리스 모바일 지불결제의 확산될 것이다. 또한 비트코인을 이용한 개인-개인(P2P) 사이트가 생겨나면서 중고물품과 디지털콘텐츠 거래시스템 활용논의가 중요하게 등장할 것이다. 또한 블록체인의 질적 성장을 통해 탈중앙화를 가속화 시키고 국가가 분산, 투명, 협력 되는 생태계를 만들어 내는 기회를 삼을 수 있으리라 생각한다. 4차산업 혁명에서 가장 핵심이 되는 기술이 공정성과 신뢰성을 가진 연결 융합 플랫폼을 구현하는 것이라고 본다. 4. 정부는 블록체인 기술 발전을 위해 어떤 역할을 해야 한다고 생각하는가 블록체인 기술이 발전하기 위해서는 암호화폐가 반드시 필요하다. 암호화폐와 블록체인은 한 몸이라 보면 된다. 암호화폐에 심각한 규제를 가하기 시작하면 블록체인 기술을 통해 4차 산업을 육성하는 것은 불가능하다고 볼 수 있다. 비트코인 광풍의 이면에 대기업에서 운영하는 암호화폐 거래소의 사회적 책임의식 부재와 이용자 미보호가 심각한 문제로 등장하는 것이 핵심 트렌드임을 깨달아야 한다. 나아가, 소득이 있는 곳에 세금이 있다는 원칙을 지키면 된다. 거래소 개설 이후의 소득에 대해서는 세금을 부과해야 한다. 하지만 주택임대사업자처럼 일정금액 이상은 부가세를 면제하여 개미투자자들을 보호하면 된다. 이것은 문재인 정부가 추구하는 정의로운 나라와 궤를 같이 하는 것이다. 나아가 블록체인에 대한 세계적 관심이 더 높아지면서 관련 원천기술의 확보방안이 주요 이슈로 부상될 것이다. Lisk coin은 독일 베를린에 오미세고는 태국 방콕, 라이트코인은 싱가폴에 본부를 두고 있다 장성혁기자 jsh0529@msnet.co.kr
4차산업혁명 린든달러 비트코인 알트코인 암호화폐 가상화폐 등
4차산업혁명 린든달러 비트코인 알트코인 암호화폐 가상화폐 등
Han Woo PARK
WATEF 2017 동계세미나 및 정기총회 개최 1. 행사 개요 o 목 적 : 데이터와 콘텐츠 기반 과학기술의 공공성 회복방향에 대한 전문가 의견 공유 o 일 시 : 2017. 11.30(목) o 장 소 : KISTI(한국과학기술정보연구원) 대전 본원 별관 회의실 o 참석자 : WATEF 회원 및 KISTI 관련자 등 50여명 o 주 관 : WATEF o 주 최 : WATEF, KISTI(한국과학기술정보연구원), 영남대 BK플러스사업단 사물 인터넷 빅데이터 지능서비스 사업팀, 영남대사이버감성연구소(빅데이터 융복합센터) http://watef.org/home/bbs/board.php?bo_table=notice&wr_id=73 학회원 여러분 위와같이 WATEF 2017 동계세미나를 KISTI 대전본원 회의실에서 개최합니다. 많은 회원분들의 참석 바랍니다. 사전등록신청은 지난번 하계세미나처럼 온라인으로 간편하게 접수 가능합니다. https://goo.gl/forms/FPLfxGQ5ZeOdh6A63 <- 사전등록신청 링크
KISTI-WATEF-BK21Plus-사이버감성연구소 2017 동계세미나 자료집
KISTI-WATEF-BK21Plus-사이버감성연구소 2017 동계세미나 자료집
Han Woo PARK
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박한우 교수 프로파일 (31 oct2017)
박한우 교수 프로파일 (31 oct2017)
Han Woo PARK
Omar, M., Mehmood, A., Choi, G.S., Park, H.W.@ (2017 Online First). Global mapping of artificial intelligence in Google and Google Scholar. Scientometrics. https://link.springer.com/article/10.1007%2Fs11192-017-2534-4 #인공지능 분야의 국가별 현황과 전망을 #웹보메트릭스 #빅데이터 #구글데이터 이용해서 세계지도를 그렸습니다.
Global mapping of artificial intelligence in Google and Google Scholar
Global mapping of artificial intelligence in Google and Google Scholar
Han Woo PARK
Full Prof. Dr. Han Woo PARK, http://www.hanpark.net https://www.slideshare.net/hanpark (BA-HUFS, MA-Seoul Nat'l Univ. PhD-SUNY Buffalo) Dept of Media & Communication, Interdisciplinary Program of Digital Convergence Business, YeungNam University, 214-1, Dae-dong, Gyeongsan-si, Gyeongsangbuk-do, South Korea, Zip Code 712-749 Editor-In-Chief of Journal of Contemporary Eastern Asia, https://jceasia.org/ Guest Editors of Social Science Computer Review, Journal of Computer-Mediated Communication, Asian Journal of Communication, Scientometrics, Quality & Quantity, Technological Forecasting & Social Change Editorial Boards of Scientometrics, Quality & Quantity, International Journal of Internet Science, Big Data & Society, CollNet Journal of Scientometrics & Information Management, Knowledge Economy, International Journal of Technology Management & Sustainable Development, Social Media & Society, Triple Helix - A Journal of University-Industry-Government Innovation and Entrepreneurship, Technological Forecasting & Social Change, Journal of Data & Information Science, Scholarly Metrics and Analytics (a specialty of Frontiers in Library and Information Science) Director of Cyber Emotions Research Institute President of WATEF (World Association for Triple Helix & Future Strategy Studies, Formerly, Asia Triple Helix Society) Formerly, Directors of World Class University Webometrics Institute and TEDxPalgong ,Visiting Scholar of Oxford Internet Institute https://www.oii.ox.ac.uk/people/han-woo-park/ Research Associate of Royal Netherland Academy (NIWI-KNAW http://virtualknowledgestudio.nl/people/former-vks-members/
박한우 영어 이력서 Curriculum vitae 경희대 행사 제출용
박한우 영어 이력서 Curriculum vitae 경희대 행사 제출용
Han Woo PARK
안녕하세요. 매년 이 시기가 되면 영업사원이 됩니다 ㅠㅠ 사회복지재단의 하루찻집 티켓을 팔아야 하거든요 ㅎㅎ 10.26.(목) 대구프린스호텔. 1만원입니다. 기부금영수증발급용과 미발급용이 있으니 확인하셔서 입금해주시면 됩니다. 입금자명과 박한우를 동시에 적어야 확인할 수 있어요. -기부금영수증발급용 : 대구은행 026-12-003977 사회복지법인함께하는마음재단 -영수증미발급용 : 대구은행 508-11-320594-6 향기담은 하루찻집 티켓은 다음에 만나서 전달해 드릴께요. 바쁘시면 현장에서 드릴께요. 2016년 관련기사 http://www.yangpatv.kr/news/articleView.html?idxno=5620
향기담은 하루찻집
향기담은 하루찻집
Han Woo PARK
The Asian Conference for Political Communication 2017 is a biennial conference spearheaded by the Media Programme Asia of Konrad-Adenauer-Stiftung. Join fellow influencers in academia, politics and government on this special occasion. Talk about challenges on social media, discuss the odds and threats of #twiplomacy, analyze the phenomena of rising populism and watch the hottest tools for e-campaigning.
Twitter network map of #ACPC2017 1st day using NodeXL
Twitter network map of #ACPC2017 1st day using NodeXL
Han Woo PARK
2016년 촛불집회는 과거와 달리 수도권뿐만 아니라 지방에서도 전개되었다. 그러나 서울 광화 문 광장 이외에서 진행된 촛불집회에 대한 사회적 관심은 그 중요성에 비해서 주목받지 못했다. 이 연구는 지방의 촛불집회 특히, 대통령의 정치적 고향인 대구·경북(TK) 촛불집회에 주목하였 다. 본 논문은 페이스북에 남겨진 데이터를 이용해 촛불집회에 나타난 TK지역 여론의 행위자와 댓글의 내용을 검토한다. 첫째, 페이지의 운영주체에 따라 페이스북 이용자 행위의 차이가 있는 지 살펴보았다. 둘째, 집회유형에 따른 댓글의 의견과 그 전개양상이 다른지 살펴보았다. 분석방 법으로 이용자 반응분석, 연결망분석(social network analysis), 의미망분석이 사용되었다. 연구결과, 페이스북 이용자들의 관심도, 참여율, 응집도는 전통 미디어에서 운영한 페이지보다 시민참여형 UCC(user created content) 페이지에서 높게 나타났다. 집회유형으로 보면, 촛불집회 댓글들과 비 교해 ‘박사모’ 반응에서 노인폄하 단어 등 부정적 단어들이 더 자주 출현했다. 이 연구는 페이스 북 댓글 데이터를 이용해서 기존에 자주 수행된 마케팅과 선거캠페인을 넘어서 새로운 연구방향 을 제시했다는 점에서 학술적 의미뿐만 아니라 사회적 가치가 있다.
페이스북 댓글을 통해 살펴본 대구·경북(TK) 촛불집회
페이스북 댓글을 통해 살펴본 대구·경북(TK) 촛불집회
Han Woo PARK
Prof. Han Woo PARK Yeungnam University South Korea
Facebook bigdata to understand regime change and migration patterns during ca...
Facebook bigdata to understand regime change and migration patterns during ca...
Han Woo PARK
세계산학관협력총회 http://www.watef.org 패널을 공지합니다. 토론자로 참여가능한 분도 모집합니다. 많은 관심을 부탁드려요. 2017 Triple Helix Conference Special Issue Session http://www.triplehelix-korea.org/ Theme (주제): Measuring Triple Helix Synergies and Innovations using Scientometric, Technometric, Informetric, Webometric, and Altmetric Data 9월 15일 금요일 16:45 - 18:15 장소: 대구엑스코 페이스북 라이브 생중계: 서인수 (즐거운 사물인터넷 대표) Organizers Mi Young Chong (Univ. of North Texas, USA) miyoungchong@my.unt.edu Han Woo Park (Yeungnam University, South Korea) 발표자: 김도훈, Brandon Moore, 윤정원 Presenter: Leo Kim Title: From Institution to Individual: Data-Based Reflection of Triple-Helix Operation in South Korea Biography: Leo Kim is the CEO of Ars Praxia. He graduated from LSE (Methodology, Master) and University of Sussex (Science and Technology Studies, PhD). He has been developing the methodology of semantic network analysis and has a professional background in innovation studies and unstructured data analysis. Presenter: Brandon Moore Title: Improving open data accessibility: Using domain driven design and microservice architecture to create user friendly open data systems Biography: Brandon Moore is a solutions architect for Nationstar Mortgage LLC. He has 20 years experience as a software engineer and is currently the lead architect for a new reverse mortgage platform. He is also an Information Science PhD student at the University of North Texas. His research interests are text analytics and data mining. Presenter: Jungwon Yoon TItle: Triple Helix Dynamics of Technological Innovation Systems in South Korea: A Comparative Analysis Biography: Jungwon Yoon is a research fellow at Soongsil University in South Korea. She received her Ph.D. in Sociology of Technology and Science from Georgia Institute of Technology, USA. Her areas of expertise are in science and technology studies (STS), including science & technology policy, sociology of sciences, innovation studies, and technology management. Her current research focuses on dynamics of innovation systems in both South and North Korea. Her latest publications include "Triple helix dynamics of South Korea’s innovation system: a network analysis of inter-regional technological collaborations" and "Quintuple helix structure of Sino-Korean research collaboration in science."
세계산학관협력총회 Watef 패널을 공지합니다
세계산학관협력총회 Watef 패널을 공지합니다
Han Woo PARK
김찬우, 박효찬, 박한우@ (2017). 2017년 대통령 후보수락 연설 유튜브 동영상의 댓글망과 의미망 분석. Journal of the Korean Data Analysis Society, 19 (3)(B), 1379-1390
2017 대통령선거 후보수락 유튜브 후보수락 동영상 김찬우 박효찬 박한우
2017 대통령선거 후보수락 유튜브 후보수락 동영상 김찬우 박효찬 박한우
Han Woo PARK
2017년 1학기 영남대 “공공데이터를 활용한 인포그래픽스” 학생들 실습과제 모음 박한우 영남대 교수 http://www.hanpark.net
2017년 인포그래픽스 과제모음
2017년 인포그래픽스 과제모음
Han Woo PARK
SNS 매개 학습공동체의 학습네트워크 탐색 : 페이스북 그룹을 중심으로
SNS 매개 학습공동체의 학습네트워크 탐색 : 페이스북 그룹을 중심으로
SNS 매개 학습공동체의 학습네트워크 탐색 : 페이스북 그룹을 중심으로
Han Woo PARK
2016년 촛불집회의 페이스북 댓글 데이터를 통해 본 하이브리드 미디어 현상
2016년 촛불집회의 페이스북 댓글 데이터를 통해 본 하이브리드 미디어 현상
2016년 촛불집회의 페이스북 댓글 데이터를 통해 본 하이브리드 미디어 현상
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4차산업혁명 린든달러 비트코인 알트코인 암호화폐 가상화폐 등
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Global mapping of artificial intelligence in Google and Google Scholar
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박한우 영어 이력서 Curriculum vitae 경희대 행사 제출용
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Twitter network map of #ACPC2017 1st day using NodeXL
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페이스북 댓글을 통해 살펴본 대구·경북(TK) 촛불집회
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세계산학관협력총회 Watef 패널을 공지합니다
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I've been in the field of "Cyber Security" in its many incarnations for about 25 years. In that time I've learned some lessons, some the hard way. Here are my slides presented at BSides New Orleans in April 2024.
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
Rafal Los
As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
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Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar. In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.
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45-60 minute session deck from introducing Google Apps Script to developers, IT leadership, and other technical professionals.
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Discord is a free app offering voice, video, and text chat functionalities, primarily catering to the gaming community. It serves as a hub for users to create and join servers tailored to their interests. Discord’s ecosystem comprises servers, each functioning as a distinct online community with its own channels dedicated to specific topics or activities. Users can engage in text-based discussions, voice calls, or video chats within these channels. Understanding Discord Servers Discord servers are virtual spaces where users congregate to interact, share content, and build communities. Servers may revolve around gaming, hobbies, interests, or fandoms, providing a platform for like-minded individuals to connect. Communication Features Discord offers a range of communication tools, including text channels for messaging, voice channels for real-time audio conversations, and video channels for face-to-face interactions. These features facilitate seamless communication and collaboration. What Does NSFW Mean? The acronym NSFW stands for “Not Safe For Work,” indicating content that may be inappropriate for professional or public settings. NSFW Content NSFW content encompasses material that is sexually explicit, violent, or otherwise graphic in nature. It often includes nudity, profanity, or depictions of sensitive topics.
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UK Journal
MINDCTI Revenue Release Quarter 1 2024
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
MIND CTI
Join our latest Connector Corner webinar to discover how UiPath Integration Service revolutionizes API-centric automation in a 'Quote to Cash' process—and how that automation empowers businesses to accelerate revenue generation. A comprehensive demo will explore connecting systems, GenAI, and people, through powerful pre-built connectors designed to speed process cycle times. Speakers: James Dickson, Senior Software Engineer Charlie Greenberg, Host, Product Marketing Manager
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
DianaGray10
Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
sammart93
This presentations targets students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many developer tools, platforms & APIs? This comprehensive yet still high-level overview outlines the most impactful tools for where to run your code, store & analyze your data. It will also inspire you as to what's possible. This talk is 50 minutes in length.
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
wesley chun
Building Digital Trust in a Digital Economy Veronica Tan, Director - Cyber Security Agency of Singapore Apidays Singapore 2024: Connecting Customers, Business and Technology (April 17 & 18, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
apidays
Increase engagement and revenue with Muvi Live Paywall! In this presentation, we will explore the five key benefits of using Muvi Live Paywall to monetize your live streams. You'll learn how Muvi Live Paywall can help you: Monetize your live content easily: Set up pay-per-view access to your live streams and start generating revenue from your content. Increase audience engagement: Provide exclusive, premium content behind the paywall to keep your viewers engaged. Gain valuable viewer insights: Track viewer data and analytics to better understand your audience and tailor your content accordingly. Reduce content piracy: Muvi Live Paywall's security features help protect your content from unauthorized distribution. Streamline your workflow: The all-in-one platform simplifies the process of managing and monetizing your live streams. With Muvi Live Paywall, you can take control of your live stream monetization and create a sustainable business model for your content. Learn more about Muvi Live Paywall and start generating revenue from your live streams today!
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Roshan Dwivedi
Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
Uncertainty, Acting under uncertainty, Basic probability notation, Bayes’ Rule,
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
Khushali Kathiriya
JAM, the future of Polkadot.
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Juan lago vázquez
The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Joaquim Jorge
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Artificial Intelligence: Facts and Myths
Chang network analysis
1.
A Network Analysis
of Interdisciplinary Research Relationships: the Korean Government’s R&D Grant Program Chang Hoon Yang, Ph.D. Department of Public Administration Kwandong University
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Example: Network centralization
in interdisciplinary relations
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Example: Egocentric network
of chemistry, multidisciplinary
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Example: Relationship between
research collaboration and research productivity Degree centrality (log x) versus RIF (y)
14.
Implications & Discussion
15.
End of Presentation
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