Integrating and querying parallel leaf shape descriptions

Shenghui Wang*, Jeff Z. Pan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

8 Citations (Scopus)


Information integration and retrieval have been important problems for many information systems - it is hard to combine new information with any other piece of related information we already possess, and to make them both available for application queries. Many ontology-based applications are still cautious about integrating and retrieving information from natural language (NL) documents, preferring structured or semi-structured sources. In this paper, we investigate how to use ontologies to facilitate integrating and querying information on parallel leaf shape descriptions from NL documents. Our approach takes advantage of ontologies to precisely represent the semantics in shape description, to integrates parallel descriptions according to their semantic distances, and to answer shape-related species identification queries. From this highly specialised domain, we learn a set of more general methodological rules, which could be useful in other domains.

Original languageEnglish
Title of host publicationThe Semantic Web - ISWC 2006 - 5th International Semantic Web Conference, ISWC 2006, Proceedings
PublisherSpringer Verlag
Number of pages14
ISBN (Print)3540490299, 9783540490296
Publication statusPublished - 1 Jan 2006
Event5th International Semantic Web Conference, ISWC 2006 - Athens, GA, United States
Duration: 5 Nov 20069 Nov 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4273 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference5th International Semantic Web Conference, ISWC 2006
Country/TerritoryUnited States
CityAthens, GA


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