A knowledge sharing system based on structured and unstructured knowledge
item.page.type
Artigo de evento
Date
2013
item.page.ispartof
Proceedings of the European Conference on Knowledge Management, ECKM
item.page.citationsscopus
1
Authors
Da Silva L.R.
Omar N.
Omar N.
publication.page.advisor
Journal Title
Journal ISSN
Volume Title
publication.page.board
publication.page.program
Abstract
One of the promises of model representation indicated by the Semantic Web is its potential to enable and facilitate knowledge interchange, because if different applications use the same set of well-defined terms to describe their domain it will be much easier for them to "talk" to each other, since the domain model defines OWL features precisely. The ontology used for context has been focused mainly on sources of unstructured knowledge such as text, images, etc, probably due to the model behind the structured knowledge, which despite not being ontology itself, reveal some semantic. On the other hand, there are proposals dealing with great heterogeneity regarding the correspondence between ontology model, where the common point between the existing methods involve similarities between entities (concepts and properties) of different ontologies. Some guidelines composing a method that considers a case where the automated ontology serve as conceptual models for mediating communication between people without the need for a system. This allows even inexperienced users to collect linguistic resources available on the web to describe concepts in a domain, implementing collective intelligence. The user involvement does not decrease the efficiency of the matching concept, improves the quality of results, reducing the likelihood of unwanted or incorrect results. The objective of the research is to produce a system of ontology-based knowledge sharing between structured and unstructured knowledge. And so standardized semantics would emerging from the analysis of user interaction on these ontologies.
Description
Keywords
item.page.scopussubject
Collective intelligences , Knowledge , Knowledge interchange , Knowledge sharing systems , Model representation , Sharing , Social , System