The Experts below are selected from a list of 31842 Experts worldwide ranked by ideXlab platform
Weiming Shen - One of the best experts on this subject based on the ideXlab platform.
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frame based ontological view for semantic integration
Journal of Network and Computer Applications, 2012Co-Authors: Hamada Ghenniwa, Weiming ShenAbstract:Semantic integration is crucial for successful collaboration between heterogeneous information systems. Traditional Ontology-driven approaches rely on the availability of explicit ontologies. However, in most application domains, this prerequisite cannot be met. In order to address this issue, this paper investigates the theoretical foundation of ontologies and extends the traditional Ontology Concept to an ontological view Concept. To explicitly and formally specify the ontological views, a Frame-based Ontological view Specification Language (FOSL) is proposed. This language is based on the frame knowledge representation paradigm and uses XML as the encoding. The ontological view driven semantic integration can be achieved based on the specifications. A proof-of-Concept prototype environment has been implemented to achieve semantic integration based on ontological views specified with FOSL.
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instance based domain ontological view creation towards semantic integration
Expert Systems With Applications, 2011Co-Authors: Hamada Ghenniwa, Weiming ShenAbstract:In many domains today there are very limited explicit ontologies established for implementing information systems. Traditional Ontology-driven semantic integration approaches cannot be directly applied in integrating these information systems. Usually, the information systems have schemas, a type of formal information model, for their information repositories which to some extent imply the semantics of the information. Each schema actually reflects a specific view of the domain Conceptualization. This paper investigates the theoretical foundation of ontologies and extends the traditional Ontology Concept to the ontological view Concept. It proposes to use ontological views to address the challenge of semantic integration. The proposed approach adopts the schemas to create local ontological views, uses data instances of the information systems to discover semantic relationships between the Concepts within the ontological views, and builds a domain ontological view based on the discovered equivalence mappings. It applies the hierarchical clustering technique on the data instances and, in the further analysis, uses the clusters to reduce the cost of processing a large amount of data. The matching of Concept properties is based on the probability distribution of the data instances. The experimental results have demonstrated the effectiveness of this approach.
David Laniado - One of the best experts on this subject based on the ideXlab platform.
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Speech acts meets tagging : NiceTag Ontology.
2010Co-Authors: Alexandre Monnin, Freddy Limpens, Fabien Gandon, David LaniadoAbstract:Current tag models do not fully take into account the rich and diverse nature of tags. Each model makes different partial assumptions as to the definition and attributes a tag should receive. In this paper we propose an Ontology, NiceTag, whose primitives are "tag actions" modeled with RDF named graphs. This mechanism allows us to type, describe and thus ensure the traceability of each single act of tagging. Our named graphs contain at least a resource linked to a "sign", which can be any resource reachable on the Web (an Ontology Concept, an image, etc.). The resource, the sign and the link between them are the three components of the acts of tagging that we want to explicitly represent as social actions, akin to speech acts. The purpose of our model is threefold. First, to be able to describe acts of tagging in a very precise and general manner, consistent with the principles behind the architecture of the Web. To reconcile and bridge existing tag models (Newman Ontology, Tagont, ES, SCOT, SIOC, CommonTag, MOAT, NAO). And finally, to propose a viable way to reify and represent the intention behind an act of tagging and leverage its semantics.
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Speech acts meet tagging
Proceedings of the 6th International Conference on Semantic Systems - I-SEMANTICS '10, 2010Co-Authors: Alexandre Monnin, Freddy Limpens, Fabien Gandon, David LaniadoAbstract:Current tag models do not fully take into account the rich and diverse nature of tags. Each model makes different partial assumptions as to the definition and attributes a tag should receive. In this paper we propose an Ontology, NiceTag, whose primitives are "tag actions" modeled with RDF named graphs. This mechanism allows us to type, describe and thus ensure the traceability of each single act of tagging. Our named graphs contain at least a resource linked to a "sign", which can be any resource reachable on the Web (an Ontology Concept, an image, etc.). The resource, the sign and the link between them are the three components of the acts of tagging that we want to explicitly represent as social actions, akin to speech acts. The purpose of our model is threefold. First, to be able to describe acts of tagging in a very precise and general manner, consistent with the principles behind the architecture of the Web. To reconcile and bridge existing tag models (Newman Ontology, Tagont, ES, SCOT, SIOC, CommonTag, MOAT, NAO). And finally, to propose a viable way to reify and represent the intention behind an act of tagging and leverage its semantics.
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NiceTag Ontology: tags as named graphs
2009Co-Authors: Freddy Limpens, Alexandre Monnin, David Laniado, Fabien GandonAbstract:Current tag modelling does not fully take into account the rich and diverse nature tags, as signs, can take on. We propose an Ontology of tags in which tags are modelled as named graphs. These named graphs are made of a resource linked to a "sign" which can be any resource reachable on the Web (an Ontology Concept, an image, etc.). The purpose of our model is to be able to describe tags in a very general manner, and as an immediate consequence, to describe tags as modelled by other tag models (SCOT, CommonTag, etc.). Our tag model can thus be seen as a bridge between the manifold Conceptualizations and instantiations of tags's models currently available on the Web.
Tang Jianbo - One of the best experts on this subject based on the ideXlab platform.
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Research on Method of Concept Semantic Similarity Based on Ontology
Computer Engineering, 2007Co-Authors: Tang JianboAbstract:This paper proposes a different Ontology Concept semantic similarity algorithm,which uses entities similarity to get the initial Concept semantic similarity,and integrates two coefficients which influence Concept semantic similarity to get the final Concept semantic similarity.Comparing with probability statistic,experiments prove that this method is valid.The research can be applied in the field of knowledge searching.
Hamada Ghenniwa - One of the best experts on this subject based on the ideXlab platform.
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frame based ontological view for semantic integration
Journal of Network and Computer Applications, 2012Co-Authors: Hamada Ghenniwa, Weiming ShenAbstract:Semantic integration is crucial for successful collaboration between heterogeneous information systems. Traditional Ontology-driven approaches rely on the availability of explicit ontologies. However, in most application domains, this prerequisite cannot be met. In order to address this issue, this paper investigates the theoretical foundation of ontologies and extends the traditional Ontology Concept to an ontological view Concept. To explicitly and formally specify the ontological views, a Frame-based Ontological view Specification Language (FOSL) is proposed. This language is based on the frame knowledge representation paradigm and uses XML as the encoding. The ontological view driven semantic integration can be achieved based on the specifications. A proof-of-Concept prototype environment has been implemented to achieve semantic integration based on ontological views specified with FOSL.
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instance based domain ontological view creation towards semantic integration
Expert Systems With Applications, 2011Co-Authors: Hamada Ghenniwa, Weiming ShenAbstract:In many domains today there are very limited explicit ontologies established for implementing information systems. Traditional Ontology-driven semantic integration approaches cannot be directly applied in integrating these information systems. Usually, the information systems have schemas, a type of formal information model, for their information repositories which to some extent imply the semantics of the information. Each schema actually reflects a specific view of the domain Conceptualization. This paper investigates the theoretical foundation of ontologies and extends the traditional Ontology Concept to the ontological view Concept. It proposes to use ontological views to address the challenge of semantic integration. The proposed approach adopts the schemas to create local ontological views, uses data instances of the information systems to discover semantic relationships between the Concepts within the ontological views, and builds a domain ontological view based on the discovered equivalence mappings. It applies the hierarchical clustering technique on the data instances and, in the further analysis, uses the clusters to reduce the cost of processing a large amount of data. The matching of Concept properties is based on the probability distribution of the data instances. The experimental results have demonstrated the effectiveness of this approach.
Alexandre Monnin - One of the best experts on this subject based on the ideXlab platform.
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Speech acts meets tagging : NiceTag Ontology.
2010Co-Authors: Alexandre Monnin, Freddy Limpens, Fabien Gandon, David LaniadoAbstract:Current tag models do not fully take into account the rich and diverse nature of tags. Each model makes different partial assumptions as to the definition and attributes a tag should receive. In this paper we propose an Ontology, NiceTag, whose primitives are "tag actions" modeled with RDF named graphs. This mechanism allows us to type, describe and thus ensure the traceability of each single act of tagging. Our named graphs contain at least a resource linked to a "sign", which can be any resource reachable on the Web (an Ontology Concept, an image, etc.). The resource, the sign and the link between them are the three components of the acts of tagging that we want to explicitly represent as social actions, akin to speech acts. The purpose of our model is threefold. First, to be able to describe acts of tagging in a very precise and general manner, consistent with the principles behind the architecture of the Web. To reconcile and bridge existing tag models (Newman Ontology, Tagont, ES, SCOT, SIOC, CommonTag, MOAT, NAO). And finally, to propose a viable way to reify and represent the intention behind an act of tagging and leverage its semantics.
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Speech acts meet tagging
Proceedings of the 6th International Conference on Semantic Systems - I-SEMANTICS '10, 2010Co-Authors: Alexandre Monnin, Freddy Limpens, Fabien Gandon, David LaniadoAbstract:Current tag models do not fully take into account the rich and diverse nature of tags. Each model makes different partial assumptions as to the definition and attributes a tag should receive. In this paper we propose an Ontology, NiceTag, whose primitives are "tag actions" modeled with RDF named graphs. This mechanism allows us to type, describe and thus ensure the traceability of each single act of tagging. Our named graphs contain at least a resource linked to a "sign", which can be any resource reachable on the Web (an Ontology Concept, an image, etc.). The resource, the sign and the link between them are the three components of the acts of tagging that we want to explicitly represent as social actions, akin to speech acts. The purpose of our model is threefold. First, to be able to describe acts of tagging in a very precise and general manner, consistent with the principles behind the architecture of the Web. To reconcile and bridge existing tag models (Newman Ontology, Tagont, ES, SCOT, SIOC, CommonTag, MOAT, NAO). And finally, to propose a viable way to reify and represent the intention behind an act of tagging and leverage its semantics.
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NiceTag Ontology: tags as named graphs
2009Co-Authors: Freddy Limpens, Alexandre Monnin, David Laniado, Fabien GandonAbstract:Current tag modelling does not fully take into account the rich and diverse nature tags, as signs, can take on. We propose an Ontology of tags in which tags are modelled as named graphs. These named graphs are made of a resource linked to a "sign" which can be any resource reachable on the Web (an Ontology Concept, an image, etc.). The purpose of our model is to be able to describe tags in a very general manner, and as an immediate consequence, to describe tags as modelled by other tag models (SCOT, CommonTag, etc.). Our tag model can thus be seen as a bridge between the manifold Conceptualizations and instantiations of tags's models currently available on the Web.
