INTO: A way to represent institutional knowledge base by Biswanath Dutta Documentation Research and Training Centre Indian.

Slides:



Advertisements
Similar presentations
ELIBRARY CURRICULUM EDITION The ultimate K-12 curriculum and reference solution.
Advertisements

Improving Human-Semantic Web Interaction: The Rhizomer Experience Roberto García and Rosa Gil GRIHO - Human Computer Interaction Research Group Universitat.
1 Search and Navigate Web Ontologies Li Ding Tetherless World Constellation Rensselaer Polytechnic Institute Aug 22, 2008.
Dr. Leo Obrst MITRE Information Semantics Information Discovery & Understanding Command & Control Center February 6, 2014February 6, 2014February 6, 2014.
DAML Ontology Library Mike Dean OntoLog Forum 28 February
April 24, 2007McGuinness NIST Interoperability Week Ontology Summit Semantic Web Perspective Deborah L. McGuinness Acting Director & Senior Research Scientist.
DCMI Workshop on Metadata and Search Vendor Panel Presentation Bradley P. Allen
VU.
Wikispaces 101 Training Standards & Interoperability (S&I) Framework May 30, :00 - 5:00pm EDT 1.
The Semantic Web: What, Why, and How? Ann Wrightson Principal Consultant, alphaXML Ltd
Copyright 2006 Digital Enterprise Research Institute. All rights reserved. MarcOnt Initiative Tools for collaborative ontology development.
Delivering HILT as a shared service Rachel Heery UKOLN, University of Bath
1/ 26 AGROVOC and the OWL Web Ontology Language: the Agriculture Ontology Service - Concept Server OWL model NKOS workshop Alicante,
Mitsunori Ogihara Center for Computational Science
ACACIA in short… Objectives: Offer methodological and software support (i.e. models, methods and tools) for construction, management and diffusion of.
PROFFESSIONAL FOOTBALL CLUB ADMINISTRATION STRUCTURE by SEMANTIC WEB TECHNOLOGIES Polat ÇAKIROĞLU
AVATAR: Advanced Telematic Search of Audivisual Contents by Semantic Reasoning Yolanda Blanco Fernández Department of Telematic Engineering University.
The 20th International Conference on Software Engineering and Knowledge Engineering (SEKE2008) Department of Electrical and Computer Engineering
CH-4 Ontologies, Querying and Data Integration. Introduction to RDF(S) RDF stands for Resource Description Framework. RDF is a standard for describing.
1 An inference engine for the semantic web Naudts Guido Student at the Open University Netherlands.
The Semantic Web and Digital Libraries Eric Miller, W3C DC 2004 / SILF 2004 Shanghai Library, Shanghai, China
An Introduction to RDF(S) and a Quick Tour of OWL
Logics for Data and Knowledge Representation Projects and thesis introduction.
27 January Semantically Coordinated E-Market Semantic Web Term Project Prepared by Melike Şah 27 January 2005.
CS570 Artificial Intelligence Semantic Web & Ontology 2
RDF Tutorial.
Hyper Text Markup Language Developing & Hosting a Web page Lecture 21.
1 Semantic Technology supporting science Peter Mika / Dept. of Computer Science / Vrije Universiteit, Amsterdam.
A Framework for Ontology-Based Knowledge Management System
CSCI 572 Project Presentation Mohsen Taheriyan Semantic Search on FOAF profiles.
© Anselm SpoerriInfo + Web Tech Course Information Technologies Info + Web Tech Course Anselm Spoerri PhD (MIT) Rutgers University
ReQuest (Validating Semantic Searches) Norman Piedade de Noronha 16 th July, 2004.
Semantic Web Technologies Lecture # 2 Faculty of Computer Science, IBA.
1 Foundations V: Infrastructure and Architecture, Middleware Deborah McGuinness and Peter Fox CSCI Week 9, October 27, 2008.
Semantic Web. Course Content
Break Out Session on Infrastructure and Technology: A Report Vipul Kashyap AOS Workshop, Rome, 15 November 2001
SupervisorStudent Dr. Atilla ELÇİHussam Hussein ABUAZAB Assoc. Prof Fall 2007 Ontology-based Support for Human Disease Study CMPE 583 WEB SEMANTICS:
Automatic Subject Classification and Topic Specific Search Engines -- Research at KnowLib Anders Ardö and Koraljka Golub DELOS Workshop, Lund, 23 June.
A centre of expertise in digital information management The MEG Metadata Schemas Registry Pete Johnston, Research Officer (Interoperability),
1 Foundations V: Infrastructure and Architecture, Middleware Deborah McGuinness TA Weijing Chen Semantic eScience Week 10, November 7, 2011.
Yogesh Gautam B.Sc., MCA, Ph.D. (Computer Science) MBA, PGP Cyber Law.
Why Use MONAHRQ for Health Care Reporting? March 2015 Note: This is one of eight slide sets outlining MONAHRQ and its value, available at
10/18/2015Page 1 Introduction to Semantic Web Design B. Ramamurthy.
EU Project proposal. Andrei S. Lopatenko 1 EU Project Proposal CERIF-SW Andrei S. Lopatenko Vienna University of Technology
Future Learning Landscapes Yvan Peter – Université Lille 1 Serge Garlatti – Telecom Bretagne.
Semantic Web - an introduction By Daniel Wu (danielwujr)
Knowledge Representation of Statistic Domain For CBR Application Supervisor : Dr. Aslina Saad Dr. Mashitoh Hashim PM Dr. Nor Hasbiah Ubaidullah.
2007. Software Engineering Laboratory, School of Computer Science S E Web-Harvest Web-Harvest: Open Source Web Data Extraction tool 이재정 Software Engineering.
©Ferenc Vajda 1 Semantic Grid Ferenc Vajda Computer and Automation Research Institute Hungarian Academy of Sciences.
1 Advanced Semantic Technologies Prof. Deborah McGuinness and Dr. Patrice Seyed CSCI CSCI ITWS ITWS TA: Justin.
The Semantic Web: An Interview with Tim Berners-Lee VISION: What new capabilities will the Semantic Web have? STATUS: Who is committed and how do we get.
EEL 5937 Ontologies EEL 5937 Multi Agent Systems Lecture 5, Jan 23 th, 2003 Lotzi Bölöni.
The future of the Web: Semantic Web 9/30/2004 Xiangming Mu.
Introduction to the Semantic Web and Linked Data Module 1 - Unit 2 The Semantic Web and Linked Data Concepts 1-1 Library of Congress BIBFRAME Pilot Training.
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.
Topic Maps introduction Peter-Paul Kruijsen CTO, Morpheus software ISOC seminar, april 5 th 2005.
Digital Libraries1 David Rashty. Digital Libraries2 “A library is an arsenal of liberty” Anonymous.
Presented by: Yuhana 12/17/2007 Context Aware Group - Intelligent Agent Laboratory Computer Science and Information Engineering National Taiwan University.
THE SEMANTIC WEB By Conrad Williams. Contents  What is the Semantic Web?  Technologies  XML  RDF  OWL  Implementations  Social Networking  Scholarly.
CS621 : Artificial Intelligence Pushpak Bhattacharyya CSE Dept., IIT Bombay Lecture 12 RDF, OWL, Minimax.
EEL 5937 Ontologies EEL 5937 Multi Agent Systems Lotzi Bölöni.
Semantic Web Portal: A Platform for Better Browsing and Visualizing Semantic Data Ying Ding et al. Jin Guang Zheng, Tetherless World Constellation.
Semantic Web COMS 6135 Class Presentation Jian Pan Department of Computer Science Columbia University Web Enhanced Information Management.
OWL Web Ontology Language Summary IHan HSIAO (Sharon)
Supporting Collaborative Ontology Development in Protégé International Semantic Web Conference 2008 Tania Tudorache, Natalya F. Noy, Mark A. Musen Stanford.
Semantic Web unleashes your data! The Semantic Web will transform the use of content. Semantic Web – is an extension of the current web. Semantic Web.
Conceptual Overview For Understanding the New Paradigm Provided by: Web Services Section.
Introduction to Semantic Web Design
Presentation transcript:

INTO: A way to represent institutional knowledge base by Biswanath Dutta Documentation Research and Training Centre Indian Statistical Institute Bangalore Workshop on Ontology, 19 th – 21 st March DRTC, ISI, Bangalore

Introduction Today I am feeling lucky! Oh… my God!! What is this? Why cannot you give me the desired document?? Oh… I got it. Ontology is great.

But,…Why Ontology?? To share common understanding of the structure of information among people or software agents (Musen 1992; Gruber 1993) To enable reuse of domain knowledge To make domain assumptions explicit To analyze domain knowledge

Objective…To To show how the knowledge of an informal domain can be organized and retrieve them meaningfully to serve our various purposes To show how the traditional classification system can be put in use for organizing the Web information

Methodology Derived a set of potential questions (what do you want?) Analysed the questions Categorised them Identified and collected the concepts and built relations Followed controlled vocabularies for standardization Applied classification principles (faceted) Modelled the Ontology using OWL-DL Integrated with SW browser (faceted web browser)

Languages and Tools Used OWL-DL Protégé 3.4 beta – a free, open source ontology editor and knowledge- base framework Pellet reasoner: open-source java based OWL-DL Reasoner ( SPARQL (SPARQL Protocol And RDF Query Language) Colon Classification (7 th ed.) Scheme Longwell faceted web browser

Few Queries Who are the experts on ontology in ISI along with their publications, home page (if any) and their addresses? What are the different courses offered by ISI centre wise? Who are the faculty members of a (particular) unit? Is Dr. Prasad of DRTC earlier worked for some other organization? If yes how many years he worked there and what was his job profile? Currently who is the head of DRTC and his contact details? etc,…

Methodology Derived a set of potential questions (what do you want?) Analysed the questions Categorised them Identified and collected the concepts and built relations Followed controlled vocabularies for standardization Applied classification principles Modelled the Ontology using OWL-DL Integrated with SW browser (faceted web browser)

Ontology Metrics Figure: showing metrics of classes and properties

Teacher and Student Class

Instance Tree 1 2

Example Query: Who are the experts on ontology in ISI along with their publications, home page (if any) and their addresses?

Analysis of the Query To identify the experts, we tried to search for those people who are working on/or has research interest on Ontology along with their publication related to ontology (optional). Publication might provide their expertise in that area. Some other factors might also be considered, such as what events/ conference/ workshop they attended in recent past, etc.

SPARQL: SPARQL Protocol And RDF Query Language SPARQL is a query language It is a protocol for accessing RDF (Resource Description Framework) data It is designed by the W3C RDF Data Access Working Group SPARQL builds on previous RDF query languages such as rdfDB, RDQL, and SeRQL Further information is available in:

Query using SPARQL PREFIX a: SELECT ?Topic ?Name ?Publication ?Homepage ? WHERE { ?person a:researchInterestIn ?ResearchInterest. ?ResearchInterest a:title ?Topic. FILTER regex(?Topic, "ontology", "i"). ?person a:name ?Name OPTIONAL { ?person a:publication ?Publication ; a:homepage ?Homepage } ?person a: ? } ORDER BY ?Name

Result from Pellet Reasoner

?? But…, is it possible for end users to form such type of query (SPARQL query, etc.) ? If no, what would be the possible solution?

Longwell Longwell is a web-based RDF-powered highly-configurable faceted browser It is the part of SIMILE project of MIT It mixes the flexibility of the RDF data model with the effectiveness of the faceted browsing UI paradigm It enables to visualize and browse any arbitrarily complex RDF dataset It allows to build a user-friendly web site out of our data within minutes and without requiring any code at all More information available on:

INTO with Longwell Easy to integrate OWL Ontology with Longwell Web Browser Knowledge base is easy to update Capable of loading files that end with.rdf,.rdfs,.owl,.n3 and rss (Longwell assumes RSS 1.0 which is RDF; other versions will generate errors)

Longwell Faceted Web Browser

Observation It is always better to go for modular based ontology Conceptually draw your model first and then go for building ontology Building ontology is quite expensive No two ontologies designed by different people would be the same There is no standard practice for building ontology It's a biggest challenge to provide user friendly semantic search interface to end users

Wrap-up Problems Way to solve the problems Why Ontology? Methodology Searching Integration of INTO with a faceted web browser Observations Application

Reference (1) Gruber, T.R. (1993). A Translation Approach to Portable Ontology Specification. Knowledge Acquisition 5: Ranganathan, S. R. (1967). Prolegomena to library classification. Ed 3. Asia Pub House, Bombay Ranganathan, S. R. (1987). Colon classification. SRELS, Bangalore Bhattacharyya, G. (1979). POPSI: Its fundamentals and procedure based on a general theory of subject indexing language. Library Science with Slant to Documentation. V 16 (1) Musen, M.A. (1992). Dimensions of knowledge sharing and reuse. Computers and Biomedical Research 25:

Noy, N. F. and McGuinness, D. L. Ontology Development 101: A Guide to Creating Your First Ontology. ontology101-noy-mcguinness.html Protege (2000). The Protege Project. Flamenco. Reference (2)