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Multimedia Information Organization and Visualization Matt Beeman, Magdalen Kadel and Cedomir Kovacev Standards & Metadata DCMI - Dublin Core Metadata Initiative (DCMI) EXIF - Exchangeable Image File Format XMP - eXtensible Metadata Platform IPTC – Int’l Press Telecommunications Council  PLUS - Picture Licensing Universal System DIM2 – Digital Image Management TEI – Text Encoding Initiative / EAD – Encoded Archival Description / METS – Metadata Encoding & Transmission Standard / MARC – Machine Readable Cataloging / MPEG-7 – Motion Pictures Expert Group / NISO IMG (Z39.87) A DAM workflow   ,[object Object],[object Object],[object Object],[object Object],[object Object],Eigenfactor map example   Uses for knowledge visualization The  h -index is graphed by most online citation indexes, to compare scholars within a field. Other projects have used the information in citation indexes to visualize relationships between fields, as above.   Features Collections / Database / Enterprise capability /Asset versioning / Manage intellectual property rights / Administration of access rights / Metadata flexibility / Controlled vocabularies / Search technology  / Automated publishing   mpeg-7 TV shopping? Education? Art? References Krogh, Peter. (2005).  The Dam Book: Digital Asset Management for Photographers Digital Asset Management: A Closer Look at the Literature  (A Research Monograph of the Printing Industry Center at RIT, March 2005) Import
THESAURI ~ THEIR STRUCTURE AND USE Acknowledgments Google Images. Amanda Piekart, Michelle Strassberg and Carla Edwards A Brief History of the Thesaurus    Derived from the Greek “Thesauros,” which means “treasury or storehouse.”    Many thesauri are now available on the Internet.  They are important for creating a “controlled vocabulary” when conducting searches. ,[object Object],[object Object],[object Object],[object Object],[object Object],Figure 2. Getty Thesaurus of Art and Architecture.  Figure 1. Finding the right words... Figure 3. ERIC Thesaurus.  Figure 4. Thesaurus of Astronomical Terms.  ,[object Object],[object Object],[object Object],[object Object],[object Object],Figure 5. The Visual Thesaurus.  Future of Thesauri    More online thesauri    Thesauri will be embedded in search engines    More user-friendly References Visual Thesaurus http://www.visualthesaurus.com Thesaurus of Art and Architecture http://www.getty.edu/research/conducting_research/vocabularies/aat/index.html Thesaurus of ERIC Descriptors http://www.eric.ed.gov/ Thesaurus of Astronomical Terms http://www.mso.anu.edu.au/library/thesaurus Types of Thesauri For this presentation we will focusing on:    Thesaurus of Art and Architecture    Visual Thesaurus    Thesaurus of ERIC Descriptors    Thesaurus of Astronomical Terms
Ontologies and Digital Libraries Nicholas C. Jackson & Erin Elliot What is an Ontology “ What exists is that which can be represented! ontology is the study of what is real, what is reality, and or what existence” (Gruber,1). “An ontology is an explicit description of a domain; concepts, properties and attributes of concepts, constraints on properties and attributes, individuals” (Noy, 2). Ontology Engineering “ Defining terms in the domain and relation among them. Defining concepts in the domain (classes), arranging the concepts in a hierarchy (subclasses-superclasses hierarchy), defining which attributes and properties classes can have and constraints on their values, defining individuals and filling in values.” (Noy, 3). PRATT Uses in digital libraries “ The ontology enables concept-based searching that can improve precision of results far beyond common keyword matching” “The ontologies has the potential to offer navigation support that would facilitate the seeking process…” It “provide a conceptual structure that” organization and arrangement information (2006, Patuelli, 4). Ontology vs. Vocabulary, Taxonomy, and Thesauri  “ A controlled vocabulary is a list of terms. A taxonomy is a collection of controlled vocabulary terms organized into a hierarchical structure. A thesaurus is a networked collection of controlled vocabulary terms. A formal ontology is a controlled vocabulary expressed in an ontology representation language” (Jernst, 1).  PRATT Jernst. (2003). What are the difference between a vocabulary, a taxonomy, a thesaurus, an  ontology, and a meta-model?  McGuinness, D. L. (2003). Ontologies Come of Age. Spinning the Semantic Web: Bringing the  World wide Web to Its Full Potential. MIT Press. Marcum, . 2002.  Noy, N. F. McGuinness, D. L. (2000) Ontology Development 101: A Guide to Creating Your  First Ontology. Stanford University. James W. (2002)  Beyond Visual Culture: The Challenge of Visual Ecology . Portal: Libraries and the Academy, Vol. 2, No. 2, pp. 189-206.  Noy, N. F., Ontology Engineering for the semantic web and beyond. Pattuelli, M.C. (2006). Context for content: Shaping learning objects and modeling a domain  ontology from the teachers' perspective. In Blandford A. & Gow, J. (Eds.).  Proceedings of the Workshop on Digital Libraries in the Context of Users' Broader Activities  (DL-CUBA), pp. 23-27. JCDL 2006, Chapel Hill, NC, USA. http://www.isi.edu/isd/LOOM/LOOM-HOME.html “ The rise of the digital library is an important step in the development of the library as a cultural resource” (Marcum, 2002, 201). Digital Library? “ the use of computers to store library materials appearing in electronic (digital) format.” Digital records of collections “encoded in order to be stored, retrieved, and read by computer to collect, organize, preserve, and access information and knowledge records  in digital form.”  UMDL Ontology-  http://www-personal.umich.edu/~peterw/Ontology/Beethoven/demo.html UMDL Ontology-  http://www-personal.umich.edu/~peterw/Ontology/Beethoven/demo.html McGuinness, D. L. (2003). Ontologies Come of Age. Spinning the Semantic Web: Bringing the  World wide Web to Its Full Potential. MIT Press. dog mammal animal rabid dog sick animal disease rabies rabid animal has has has
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Tagging & Folksonomies Social Applications ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Goals:  introduce controlled vocabulary to tagging systems; tools should be simple, efficient and not require large investments of capital; they should make it easier to locate new and older materials and allow reuse/remix of content and data to produce new collections and online tools
Cataloging Cultural Objects (CCO) Introduction to CCO Historical Overview Recommended Elements Managing Content & the Future of CCO ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Jamee Ard, Adrid Santos, Fumi Kelleher & Erica McDonald
Personal Information Management Matt Flaherty, Jessica Brooks, Maggie Balistreri ,[object Object],[object Object],[object Object],Personal Information Management Tools  (reflects individual needs, preferences, and styles) E-mail:  file organization, filters, chatting Calendar:  reminders, calendar sharing  Computer desktop:  file finder tools, widgets Internet:  search engines, RSS feeds Websites, Wikis, & Blogs:  circulating information versus absorbing information Figure 2. Structure of Information System (Barreau, 1995).  Figure 1. Ten Commandments.  Key Image 1 Key Image 2 Figure 3. Before utilizing computer PIM tools.  Figure 4. After utilizing computer PIM tools.  Meta PIM:  The PIM of a PIM Project Three individuals collaborate on a Personal Information Management project. Each uses,  and all coordinate using, the following tools:  E-mail, calendar, phone/text messaging, personal computer/desktop, Internet search tools, and a  Wiki . Figure 5. PIM Wiki for PIM Group Project. Implications of PIM Save what?  More digital space means we can save everything. Save where?  Data saved across multiple tools benefits from an integration  method. Retrieve how?  Saving more and more personal information results in increased reliance on robust search tools, tagging, and metadata. References Barreau, D.K. (1995). Context as factor in personal information management systems.  JASIS, 46 (5), 327-39. Jones, William and J. Teevan, editors.  Personal Information Management .  University of Washington Press: 2007. ,[object Object],[object Object],[object Object],Input User Input Information Information System Acquisitions Organization Maintaining Retrieval Output Answers Reports Summaries

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Pratt Sils LIS653 4 Fall 2007

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  • 3. Ontologies and Digital Libraries Nicholas C. Jackson & Erin Elliot What is an Ontology “ What exists is that which can be represented! ontology is the study of what is real, what is reality, and or what existence” (Gruber,1). “An ontology is an explicit description of a domain; concepts, properties and attributes of concepts, constraints on properties and attributes, individuals” (Noy, 2). Ontology Engineering “ Defining terms in the domain and relation among them. Defining concepts in the domain (classes), arranging the concepts in a hierarchy (subclasses-superclasses hierarchy), defining which attributes and properties classes can have and constraints on their values, defining individuals and filling in values.” (Noy, 3). PRATT Uses in digital libraries “ The ontology enables concept-based searching that can improve precision of results far beyond common keyword matching” “The ontologies has the potential to offer navigation support that would facilitate the seeking process…” It “provide a conceptual structure that” organization and arrangement information (2006, Patuelli, 4). Ontology vs. Vocabulary, Taxonomy, and Thesauri “ A controlled vocabulary is a list of terms. A taxonomy is a collection of controlled vocabulary terms organized into a hierarchical structure. A thesaurus is a networked collection of controlled vocabulary terms. A formal ontology is a controlled vocabulary expressed in an ontology representation language” (Jernst, 1). PRATT Jernst. (2003). What are the difference between a vocabulary, a taxonomy, a thesaurus, an ontology, and a meta-model? McGuinness, D. L. (2003). Ontologies Come of Age. Spinning the Semantic Web: Bringing the World wide Web to Its Full Potential. MIT Press. Marcum, . 2002. Noy, N. F. McGuinness, D. L. (2000) Ontology Development 101: A Guide to Creating Your First Ontology. Stanford University. James W. (2002) Beyond Visual Culture: The Challenge of Visual Ecology . Portal: Libraries and the Academy, Vol. 2, No. 2, pp. 189-206. Noy, N. F., Ontology Engineering for the semantic web and beyond. Pattuelli, M.C. (2006). Context for content: Shaping learning objects and modeling a domain ontology from the teachers' perspective. In Blandford A. & Gow, J. (Eds.). Proceedings of the Workshop on Digital Libraries in the Context of Users' Broader Activities (DL-CUBA), pp. 23-27. JCDL 2006, Chapel Hill, NC, USA. http://www.isi.edu/isd/LOOM/LOOM-HOME.html “ The rise of the digital library is an important step in the development of the library as a cultural resource” (Marcum, 2002, 201). Digital Library? “ the use of computers to store library materials appearing in electronic (digital) format.” Digital records of collections “encoded in order to be stored, retrieved, and read by computer to collect, organize, preserve, and access information and knowledge records in digital form.” UMDL Ontology- http://www-personal.umich.edu/~peterw/Ontology/Beethoven/demo.html UMDL Ontology- http://www-personal.umich.edu/~peterw/Ontology/Beethoven/demo.html McGuinness, D. L. (2003). Ontologies Come of Age. Spinning the Semantic Web: Bringing the World wide Web to Its Full Potential. MIT Press. dog mammal animal rabid dog sick animal disease rabies rabid animal has has has
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