Open AccessProceedings Article
Dynamic semantics ontological framework for web semantics
Taniana Rodriguez,Jose Aguilar,Eduard Puerto +2 more
- 14 Dec 2010
- pp 91-98
6
TL;DR: A Dynamic Semantic Ontological Framework is proposed for web semantics to permit the interpretation and formalizing a query carried out by a user in natural language by using mechanisms of ontological semantics and tools for processing natural language for processing the user's query.
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Abstract: In this article a Dynamic Semantic Ontological Framework (MODS) is proposed for web semantics to permit the interpretation and formalizing a query carried out by a user in natural language. As such, MODS permit user queries in natural language. To do so, MOD transforms the query in a format that represents the meaning of the query (RSC) utilizing their different components: lexicon, linguistic task ontology, and the ontology of the domain. This way, MODS use mechanisms of ontological semantics and tools for processing natural language for processing the user's query. The RSC is transformed in an ontological language (OWL) to later be used by the web semantics. In this work, the MOD architecture is presented.
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Citations
Automatic Learning of Ontologies for the Semantic Web: experiment lexical learning
TL;DR: The design of the learning unit of lexical information is presented, which has a component to map the sources of learning with the learning methods, and another to update the linguistic ontology and the lexicon of the DSOFSW.
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Automatic Learning of Ontologies for the Semantic Web: experiment
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TL;DR: In this paper, a system for automatic learning of ontologies and lexical information (SALOX) for the Dynamic Semantic Ontological Framework for the Semantic Web (DSOFSW) is presented.
4
Ontological learning for a dynamic semantics ontological framework
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TL;DR: An Ontological Learning architecture is proposed, which is one of the key components of the Dynamic Semantic Ontological Framework (MODS) for the Semantic Web and allows the acquisition of knowledge of terms, concepts, and taxonomic relations, production rules, or axiom.
Evaluation of Digital Competence Profiles Using Dialetheic Logic
TL;DR: The results show that dialetheic logic is required to accurately interpret digital academic and professional profiles using computational reasoning mechanisms and the model is a contribution for competencies management, useful for the automatic curriculum design, competencies validation in learning processes, among other uses.
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Opinion mining using a knowledge extraction system from the web
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