A Framework for Information Retrieval Based on Fuzzy Relations and Multiple Ontologies
IBERAMIA '08 Proceedings of the 11th Ibero-American conference on AI: Advances in Artificial Intelligence
Fuzzy semantic web ontology learning from fuzzy UML model
Proceedings of the 18th ACM conference on Information and knowledge management
Fuzzy ontology storage in fuzzy relational database
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 2
A consensus-based method for fuzzy ontology integration
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume Part II
Reasoning of fuzzy relational databases with fuzzy ontologies
International Journal of Intelligent Systems
A multi-attribute and multi-valued model for fuzzy ontology integrationon instance level
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part I
Construction of fuzzy ontologies from fuzzy XML models
Knowledge-Based Systems
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Since web documents are not fully structured sources of information and in Internet almost everything, especially in the realm of search, is approximate in nature, it is not possible to utilize the benefits of a domain ontology straight away to extract information from such a document. One way of overcoming this problem is the postulation of a "fuzzy ontology" by adding a value for degree of membership to each term that is imprecise in nature. In this paper, we propose a fuzzy ontology generation framework in which a concept descriptor is represented as a fuzzy relation which encodes the degree of a property value using a fuzzy membership function. The fuzzy ontology framework provides appropriate support for application integration by identifying the most likely location of a particular term in the ontology. The applicability of the fuzzy ontology structure in retrieving and curating information from text documents to answer imprecise queries has been thoroughly experimented.