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ontology based- data_integration.ali_aljadaa.1125048

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We are need to obtain information from several local or external sources, Each source may be built in different ways, so we will face many various conflicts in the meaning or structure and other conflicts. We'll see also examples show why need data integration .

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ontology based- data_integration.ali_aljadaa.1125048

  1. 1. Knowledge Engineering Course (SCOM7348) University of Birzeit, Palestine December, 2012 Synthesis Paper Talk Ontology-Based Data Integration Ali Ahmad Al Jadaa Master of Computing, Birzeit University Ali.ps@live.comThis is a student talk, at the Knowledge Engineering course, each student is is asked to present his/her synthesis paper. Course Page: http://jarrar-courses.blogspot.com/2011/09/knowledgeengineering-fall2011.html 1
  2. 2. Abstract• We are need to obtain information from several local or external sources, Each source may be built in different ways, so we will face many various conflicts in the meaning or structure and other conflicts. Well see also examples show why need data integration .• Ontology provides effective solutions to data integration in different ways, and which you will highlight about it 2
  3. 3. What is Data• Data is a collection of facts, such as values or measurements. It can be numbers, words, measurements, observations or even just descriptions of things. 3
  4. 4. What is data integration• Data coming from different sources and providing users with a unified view of these data . 4
  5. 5. What is Semantic• Understand the meaning .• Relation between signifiers .• Difference with other ≠ 5
  6. 6. What is Ontology• Set of concepts within a domain, and the relationships between pairs of concepts. It can be used to model a domain and support reasoning about entities .• Dictionary Computers can be understand• List of things that exist• Description of the kinds of entities there are and how they are related 6
  7. 7. Why need data integration• The world turns to a small village, and became a speed factor in the completion of transactions of the most important features of any state. 7
  8. 8. example• if any student want to travel to complete his study , he must visit many of ministries to prepare :• 1 - General Certificate of Secondary Education of school.• 2 - Ratification certificate from the Ministry of Education.• 3 - Identification of the Ministry of the Interior.• 4 - Valid passport of the Ministry of the Interior.• 5 - Disease free certificate from the Ministry of Health .• 6 - Guarantee from a bank 8
  9. 9. The problem of data integration• Since the data come from different sources, and all data source built in a different way and different meaning, we will face many problems 9
  10. 10. Name Heterogeneities• which mean different names for the same concepts (Synonyms) ,• for example schema use (Code)• and anther one use (Number) or (No.) , 10
  11. 11. Meaning Heterogeneities• which mean Same name for different concepts(Homonyms),for example schema use City as a Birth City , but another schema use it to mean work city 11
  12. 12. Structure Heterogeneities• which means that different information systems store their data in different structures , 12
  13. 13. Type Heterogeneities• which mean same attribute in different data type ,example attribute "Gender" in schema use String data type ("Male"," Female"), but in another schema use Boolean data type (0,1). 13
  14. 14. Rules and Constraints Heterogeneities• which mean different cardinalities in the same relationships, example in schema the Age of student between(18-25) year but in another one its between (18-30) 14
  15. 15. Model HeterogeneitiesOccurs when different databases adheres todifferent data models, 15
  16. 16. Service Oriented Architecture• Is a set of principles and methodologies for designing and developing software in the form of interoperable services[1] 16
  17. 17. Publish-Subscribe Architecture• networking technologies and products enable a high degree of connectivity across a large number of computers, applications, and users[5] 17
  18. 18. Consolidation• involves capturing of data from multiple source systems and integrating into a single persistent data store. The latency of the information in the consolidated data store depends upon whether batch or real time data consolidation is being used and how often the updates are being applied to the data store.[2] 18
  19. 19. Multibase system• A multibase (multiple database) system allows the users to view the database through a single global schema ,simulating to users that a federated data base exists.[3] 19
  20. 20. Data Warehouse• Is a database used for reporting and data analysis[4] 20
  21. 21. Federated systems (Virtual Data Integration)• It is characterized by the existence of a federated schema which establishes the interface to this integrated system.[4] 21
  22. 22. example 22
  23. 23. Solution• Can be solved with relational Views (A to B)CREATE VIEW Men AsSELECT Code , Name FROM PersonWHERE Gender="Male"CREATE VIEW Women AsSELECT Code , Name FROM PersonWHERE Gender="Female"• Or can be solved with relational View (B to A)CREATE VIEW (Code , Name , Gender) AsSELECT Code , Name ,"Male" FROM MenUNIONSELECT Code , Name , "Female" FROM Women 23
  24. 24. References1. Bell_ Michael (2010). SOA Modeling Patterns for Service-Oriented Discovery and Analysis. Wiley & Sons. p. 390. ISBN 978-0-470-48197-4.2. Amit P. Sheth, and J.A. Larson, Federated Database Systems for Managing Distributed, Heterogeneous, and Autonomous Databases, ACM Computing Surveys,Vol 22, No. 3, pp. 183-236, September 1990.3. Manuel Garcia-Solaco, Felix Saltor, and Malu Castellanos, Semantic heterogeneity in multidatabase systems, In Object-oriented Multidatabase Systems: A Solution for dvanced Applications, Omran A. Bukhres and Ahmed K. Elmagarmid, editors, Prentice- Hall, 1996 Chapter 5, pp. 129-202.4. Oracle® Database Application Developers Guide – Fundamentals 10g Release 1 (10.1) Part Number B10795-01 24
  25. 25. Thank You 25

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