Semantic Web Project Status

Slides:

Advertisements

Similar presentations

ROWLBAC – Representing Role Based Access Control in OWL

Advertisements

AVATAR: Advanced Telematic Search of Audivisual Contents by Semantic Reasoning Yolanda Blanco Fernández Department of Telematic Engineering University.

Schema Matching and Query Rewriting in Ontology-based Data Integration Zdeňka Linková ICS AS CR Advisor: Július Štuller.

CH-4 Ontologies, Querying and Data Integration. Introduction to RDF(S) RDF stands for Resource Description Framework. RDF is a standard for describing.

A Stepwise Modeling Approach for Individual Media Semantics Annett Mitschick, Klaus Meißner TU Dresden, Department of Computer Science, Multimedia Technology.

So What Does it All Mean? Geospatial Semantics and Ontologies Dr Kristin Stock.

Tutorial Le Phuoc Son Hoang Huu Hanh Hue University.

Of 27 lecture 7: owl - introduction. of 27 ece 627, winter ‘132 OWL a glimpse OWL – Web Ontology Language describes classes, properties and relations.

Using the Semantic Web to Construct an Ontology- Based Repository for Software Patterns Scott Henninger Computer Science and Engineering University of.

Knowledge-Based Search in Collections of Digitized Manuscripts: First Results Pavel Pavlov, Maria Nisheva-Pavlova Faculty of Mathematics and Informatics,

Research topics Semantic Web - Spring 2007 Computer Engineering Department Sharif University of Technology.

Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Slide 4- 1.

Copyright © 2011 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 8 The Enhanced Entity- Relationship (EER) Model.

The Semantic Web – A Vision Tim Berners-Lee, James Hendler and Ora Lassila Scientific American, May 2001.

The Semantic Web Week 14 Module Website: Lecture (SHORT): OWL PIZZAS Practical (LONGER): Getting to know Protégé-2000.

Semantic Web Presented by: Edward Cheng Wayne Choi Tony Deng Peter Kuc-Pittet Anita Yong.

The Enhanced Entity- Relationship (EER) Model

Chapter 8: Diagrams, Maps, and Webs Section III: Using Visual Learning Tools to Enhance Learning.

Martin Doerr, Gerald Hiebel, Institute of Computer Science

ONTOLOGY SUPPORT For the Semantic Web. THE BIG PICTURE  Diagram, page 9  html5  xml can be used as a syntactic model for RDF and DAML/OIL  RDF, RDF.

BiodiversityWorld GRID Workshop NeSC, Edinburgh – 30 June and 1 July 2005 Metadata Agents and Semantic Mediation Mikhaila Burgess Cardiff University.

The Semantic Web William M Baker

ONTOLOGICAL MODEL OF THE KNOWLEDGE IN FOLKLORE DIGITAL LIBRARY Desislava Paneva Institute of Mathematics and Informatics – Bulgarian Academy of Sciences.

Artificial intelligence project

Copyright © 2011 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 8 The Enhanced Entry-Relationship (EER) Model.

Research Information System for Materials - Database, Simulation and Knowledge Toshihiro Ashino Toyo University

Development of Front End Tools for Semantic Grid Services Dr.S.Thamarai Selvi, Professor & Head, Dept. of Information Technology, Madras Institute of Technology,

Building an Ontology of Semantic Web Techniques Utilizing RDF Schema and OWL 2.0 in Protégé 4.0 Presented by: Naveed Javed Nimat Umar Syed.

SEMANTIC WEB FOR A HOSPITAL

Umi Laili Yuhana December, Context Aware Group - Intelligent Agent Laboratory Computer Science and Information Engineering National Taiwan University.

Semantic Web - an introduction By Daniel Wu (danielwujr)

Component Based SW Development and Domain Engineering 1 Component Based Software Development and Domain Engineering.

Advanced topics in software engineering (Semantic web)

EEL 5937 Ontologies EEL 5937 Multi Agent Systems Lecture 5, Jan 23 th, 2003 Lotzi Bölöni.

SKOS. Ontologies Metadata –Resources marked-up with descriptions of their content. No good unless everyone speaks the same language; Terminologies –Provide.

Artificial Intelligence 2004 Ontology

Web Information Systems Modeling Luxembourg, June VisAVis: An Approach to an Intermediate Layer between Ontologies and Relational Database Contents.

Metadata Common Vocabulary a journey from a glossary to an ontology of statistical metadata, and back Sérgio Bacelar

User Profiling using Semantic Web Group members: Ashwin Somaiah Asha Stephen Charlie Sudharshan Reddy.

Of 33 lecture 1: introduction. of 33 the semantic web vision today’s web (1) web content – for human consumption (no structural information) people search.

International Workshop Jan 21– 24, 2012 Jacksonville, Fl USA Model-based Systems Engineering (MBSE) Initiative Slides by Henson Graves Presented by Matthew.

Semantic Web Final Exam Review. Topics for Final Exam First exam material (~30%) Design Patterns and Map/Reduce (~20%) Inference / Restrictions (~10%)

OWL & Protege Introduction Dongfang Xu Ph.D student, School of Information, University of Arizona Sept 10, 2015.

Knowledge Representation. Keywordsquick way for agents to locate potentially useful information Thesaurimore structured approach than keywords, arranging.

1 Class exercise II: Use Case Implementation Deborah McGuinness and Peter Fox CSCI Week 8, October 20, 2008.

Department of Computer Engineering ARTIFICIAL INTELLIGENCE

BCS-CA2-2 Students will use word processing and/or desktop publishing software through a variety of input technologies to create, edit, and publish industry.

Prizms for Data Publication and Management Katie Chastain May 9, 2014.

OWL Web Ontology Language Summary IHan HSIAO (Sharon)

Sharing personal knowledge over the Semantic Web ● We call personal knowledge the knowledge that is developed and shared by the users while they solve.

GoRelations: an Intuitive Query System for DBPedia Lushan Han and Tim Finin 15 November 2011

Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 4- 1.

© Tata Consultancy Services ltd.12 June Metadata and Data Standards Levels of Metadata C. Anantaram Innovation Lab.

Enabling Access Control and Privacy through Ontology Mohammad M. R. Chowdhury Dr. Josef Noll UniK - University Graduate Center, Norway Dr. Juan Miguel.

OWL (Ontology Web Language and Applications) Maw-Sheng Horng Department of Mathematics and Information Education National Taipei University of Education.

Enhanced Entity-Relationship (EER) Model

Knowledge Representation Part II Description Logic & Introduction to Protégé Jan Pettersen Nytun.

Independent Study of Ontologies

Online Laptop Shop through Semantic Web

Lee McCluskey University of Huddersfield

Knowledge Management Systems

Lecture #11: Ontology Engineering Dr. Bhavani Thuraisingham

ece 720 intelligent web: ontology and beyond

Vocabularies and Semantics

UMBC AN HONORS UNIVERSITY IN MARYLAND

Adrian Diaz Eric Clark Tim Peek

ece 627 intelligent web: ontology and beyond

Enhanced Entity-Relationship (EER) Modeling

Presentation transcript:

Semantic Web Project Status Tim Peek Adrian Diaz Eric Clark

Project Status The Computing Ontology Project Refined our original ontology based on Software Engineering section of the Computing Ontology Project website Based on: http://what.csc.villanova.edu/twiki/bin/view/Main/SoftwareEngineering Extended and added relationships within our ontology

Project Status Improvements to existing ontology: Added properties, definitions, characteristics to better define additions to the knowledge base Made classes disjoint where appropriate Reorganized hierarchy Added “Software Engineering Topic” class and subclasses Object properties define relationships Still a large ontology.

Tools & knowledge representation Protégé originally used for storing the ontology Other visualization tools (ideas) OWL Viz plugin for Protégé for diagramming Knowledge Representation Originally OWL and RDF Schema Transitioning Ontology into Cyc KB

Tools & knowledge representation Building our Ontology into ResearchCyc Software Engineering Ontology Adding Classes/Concepts from our ontology (Protégé) into ResearchCyc Website: http://68.82.165.50:3602/cgi-bin/cyccgi/cg?cb-start

Transition from OWL to Cyc Goal is to ensure that the classes and relationships are preserved from our OWL ontology Keep both knowledge representations (OWL & Cyc) Refer to Computing Ontology website for discrepancies. Extend knowledge base using inputs such as text books and websites.

Goals Develop practical ontology Potential uses: Querying and Deriving information Leverage Cyc KB and NL to process data (for example: University course listings, curriculum and etc.) Create Cyc constants and assertions. Automated process for gathering information and verifying the data. Potentially develop a visual representation of data. Application friendly ontology

Potential Issues Classifying relationships properly Adapting original relations into Cyc KB Developing meaningful data representation – useful to our audience Working to improve “use cases”. Data collection Instantiation Representing / synchronizing Ontology in both OWL and Cyc.