A computational model of color perception and color naming
A computational model of color perception and color naming
Ontology-based extraction and structuring of information from data-rich unstructured documents
Proceedings of the seventh international conference on Information and knowledge management
A human factors study of color notation systems for computer graphics
Communications of the ACM
Conceptual Spaces: The Geometry of Thought
Conceptual Spaces: The Geometry of Thought
Automatic Ontology-Based Knowledge Extraction from Web Documents
IEEE Intelligent Systems
Description Logics for Information Integration
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part II
Extending Datatype Support in Web Ontology Reasoning
On the Move to Meaningful Internet Systems, 2002 - DOA/CoopIS/ODBASE 2002 Confederated International Conferences DOA, CoopIS and ODBASE 2002
A software framework for matchmaking based on semantic web technology
WWW '03 Proceedings of the 12th international conference on World Wide Web
Bootstrapping an ontology-based information extraction system
Intelligent exploration of the web
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Transparent access to multiple bioinformatics information sources
IBM Systems Journal - Deep computing for the life sciences
Natural Language Engineering
A New Color-Namiing System for Graphics Languages
IEEE Computer Graphics and Applications
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
OWL-Eu: adding customised datatypes into OWL
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
Ontology–Based representation and query colour descriptions from botanical documents
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, COA, and ODBASE - Volume Part II
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Information integration and retrieval are useful tasks in many information systems. In these systems, it is far from an easy task to directly integrate information from natural language (NL) sources, because precisely capturing NL semantics is not a trivial issue in the first place. In this paper, we choose the botanical domain to investigate this issue. While most existing systems in this domain support only keywordbased search, this paper introduces an ontology-based approach to process parallel colour descriptions from botanical documents. Based on a semantic model, it takes advantage of ontologies so as to represent the semantics of colour descriptions precisely, to integrate parallel descriptions according to their semantic distances, and to answer colour-related species identification queries. To evaluate this approach, we implement a colour reasoner based on the FaCT-DG Description Logic reasoner, and present some results of our experiments on integrating parallel descriptions and species identification queries. From this highly specialised domain, we learn a set of more general methodological rules.