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
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
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
OWL-Eu: adding customised datatypes into OWL
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
A Flexible Ontology Reasoning Architecture for the Semantic Web
IEEE Transactions on Knowledge and Data Engineering
Semantically processing parallel colour descriptions
Journal on data semantics X
WISE'06 Proceedings of the 7th international conference on Web Information Systems
Deep into color names: matching color descriptions by their fuzzy semantics
AIMSA'06 Proceedings of the 12th international conference on Artificial Intelligence: methodology, Systems, and Applications
Integrating and querying parallel leaf shape descriptions
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Hi-index | 0.00 |
A proper representation of the semantics of colour descriptions is necessary when colour information needs to be processed semantically, such as in the area of information integration. Semantics–based methods can help information from different sources to be integrated more easily and make final results more accurate and understandable among different sources. This paper introduces an ontology–based representation of the semantics of colour descriptions. By using a quantitative colour model and a Description Logic (DL) with datatype support, the semantics of a single colour term can be represented. Multiple such terms are then combined to generate the semantics of a complex colour description, which is interpreted by using morpho–syntactic rules derived from the analysis of colour descriptions in botanical documents. A colour reasoner, interacting with the FaCT-DG DL reasoner, can support colour–related queries and give domain–oriented results.