1 / 15

ONLINE UNIVERSITY ENCYCLOPEDIA (OUN) CMPE 583 - Web Semantics Project

ONLINE UNIVERSITY ENCYCLOPEDIA (OUN) CMPE 583 - Web Semantics Project. Supervisor Professor Atilla Elci Prepared by Siamak Tafavogh January 2008. Outline. Introduction Case Study Project Detail Why not RDBMS? Differences of Semantic Search and Usual Search

graham
Télécharger la présentation

ONLINE UNIVERSITY ENCYCLOPEDIA (OUN) CMPE 583 - Web Semantics Project

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. ONLINE UNIVERSITY ENCYCLOPEDIA(OUN)CMPE 583 - Web Semantics Project Supervisor Professor Atilla Elci Prepared by Siamak Tafavogh January 2008

  2. Outline Introduction Case Study Project Detail Why not RDBMS? Differences of Semantic Search and Usual Search Comparing Protégé and SQL Conclusion

  3. Semantic Web Is an extension of the current web, in which information on the web can processed by machines in other word data become machine readable on web. • Ontology Is content theories about sort of object, properties of the object and relation between objects that are possible in a specified domain of knowledge. Ontology has identified with computer as a machine-readable vocabulary. Introduction

  4. OWL is a language for defining ontologies and associated individual data OWL is used to make statements (assertions) about, Classes, Properties, and Individuals.

  5. Case Study The study in this project is chiefly focusing on the University Encyclopedia. The University Encyclopedia provides information on the name of universities, Ranking of universities (previous ranking and current ranking, ranking in related country), location (country and city), URL, number of students and Average tuition fee for each Bachelor, Master and PHD degrees. In my case study I will try to present such information using a semantic web and I designed my university encyclopedia ontology by implementing protégé.

  6. Project Detail OUE have been designed by Protégé 2.1.2. OUE contains 1 class, 4 sub classes and 15 properties Class Subclass

  7. Each Sub class contains numbers of properties.

  8. Properties in protégé sets as below

  9. Search engine in protégé In protégé searches are done be using Algernon search engine. Algernon can read and write Protégé knowledge bases. Commanding segment Result panel Message Panel

  10. Why not RDBMS In RDBMS model, there is no reasoned-based system to infer information but in OUE it exists. In RDBMS programming totally reasoned-based programming is impossible because extracting new knowledge from inputs is not possible.

  11. Differences of Semantic Search and Usual Search In a regular database, there is no class relationship. Therefore sub classes cannot inherit all properties from their super classes. Extra work will be required to define class relations and all properties separately.

  12. Comparing Protégé and SQL Protégé enables to create subclasses and super classes Which is not possible in SQL. Protégé increase efficiency of the search. No class hierarchy in DB No inheritance-> more work done by SQL queries

  13. Conclusion By using Protégé Implementing of semantic search becomes more easy and possible. But even Protégé cannot be an ideal tool for providing all aims of semantic implementation. Although semantic web or search is a brilliant idea or theory but still we do not have sufficient equipment to make it practical. Therefore I think for approaching to the ideal status in semantic implementation new tools and method should be applied. As we know semantic search should be reasoned-based it means extracting knowledge from the information but have we really achieved to this goal?

  14. References [1]. Atilla ELÇİ Web Semantics: Theory and Practice,p.7 2006. [2]. http://protege.stanford.edu Last Visited 24/01/2008. [3]. http://algernon-j.sourceforge.net Last Visited 26/01/2008. [4]. http://iweb.etri.re.kr/ezowl Last Visited 26/01/2008.

  15. Special Thanks To Professor Atilla Elci And All the Listeners Term Project Online University Encyclopedia (OUE) Siamak Tafavogh January 2008

More Related