Information Retrieval On The Semantic Web

Transcription

1 Information Retrieval On The Semantic Web Urvi Shah TripleHop Technologies, Inc New York, NY Tim Finin Dept. Comp. Sci. University of Maryland Baltimore County Baltimore, MD Anupam Joshi Dept. Comp. Sci. University of Maryland Baltimore County Baltimore, MD R. Scott Cost Dept. Comp. Sci. University of Maryland Baltimore County Baltimore, MD James Mayfield Johns Hopkins University Applied Physics Laboratory Laurel, MD ABSTRACT Keywords 1. INTRODUCTION Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. CIKM 02, November 4 9, 2002, McLean, Virginia, USA. Copyright 2002 ACM /02/

2 2.2 Information Retrieval in the World Wide Web 2. BACKGROUND 2.1 DAML and the Semantic Web 2.3 Answering queries on the Web 2.4 DAML queries 462

3 4. DESIGN AND IMPLEMENTATION OF OWLIR 3. RELATED WORK 463

4 Organizer... Start_Time EVENT Event_Name Event_Date End_Time Place TIME DATE TRIP SPORT MOVIE SHOW TEAM INDIVIDUAL BASEBALL BASKETBALL ATHLETICS CHESS KEY: Instance Of CLASS Property Association Property Subclass Of 4.1 EVENT Ontology 4.2 Information Extraction 464

5 AeroText TM Capabitilies Who, what, when, where ABC123 Corporation to Donate to Charities ASSOCIATED PRESS Monday, Dec 4, 2000, 5:00 pm EST Philadelphia -----ABC123 Corporation Plans to donate $10 million in cash and software to various charities, CEO Benjamin Romero said in Philadelphia on Monday. By the end of the year, 100 organizations will receive the technology they need. Mr. Romero said, Last year the corporation gave more than $25 million in cash to nearly 200 nonprofit organizations. Proper Names Key Phrases Grammatical Phrases Entity Co-references Entity Association Event Extraction Topic Categorization Disambiguation Location Resolution Block Finder TM Multilingual 4.3 Inference System 4.5 Hybrid Information Retrieval 4.4 Information Retrieval System 5. OWLIR PROCESS FLOW 465

6 Movie Event information in plain text Sport Talk... Event Categories AeroText + Java DAML/RDF Markup Generate RDF Triples Expand Agents Event WEB Description RDF Triples Trip Inference with DAMLJessKB Query User Interface Must OK Must not Filter query on event property constraints Structured Query HAIRCUT Expanded RDF Triples + Free Text Events Results User Interface Final Results Inference on results <DOC> <DOCNO>' </DOCNO> <TEXT>'UMBC Blood Drive!! Office of Student Life launches its annual Blood Drive for the Red Cross on Mon, Nov 20 in the UC Ballroom from 10am - 4pm. </TEXT> <TRIPLE>triple(charity_001)( ' ' 'University Center'). triple(charity_001)( ' ' 'Office of Student Life'). triple(charity_001)( ' ' 'Monday').</TRIPLE> </DOC> DAML document Get movie name 6. EXPERIMENTAL ANALYSIS DAMLJessKB Perl Extract information IMDB Triples from inference + expansion Assert Facts 466

7 1 Precision and Recall Values Precision Triples with Inferencing Triples Free Text Recall 7. CONCLUSION AND FUTURE WORK Precision and Recall Values : Movie Description from IMDB Triples from IMDB Document Triples Text Description from IMDB Document Text Precision Recall 6.1 Discussion 467

8 8. REFERENCES 468