The Experts below are selected from a list of 12801 Experts worldwide ranked by ideXlab platform
Jacek Kitowski - One of the best experts on this subject based on the ideXlab platform.
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erratum to grid organizational memory provision of a high level grid Abstraction Layer supported by ontology alignment future gener comput syst 23 2007 348 358
Future Generation Computer Systems, 2007Co-Authors: Bartosz Kryza, Renata Slota, Marta Majewska, Jan Pieczykolan, Jacek KitowskiAbstract:Erratum Erratum to “Grid organizational memory—provision of a high-level Grid Abstraction Layer supported by ontology alignment” [Future Gener. Comput. Syst. 23 (2007) 348–358] Bartosz Kryzaa, Renata Slotab, Marta Majewskab,∗, Jan Pieczykolana, Jacek Kitowskia,b a Academic Computer Center CYFRONET-AGH, Nawojki 11, 30-950 Cracow, Poland b Institute of Computer Science, AGH University of Science and Technology, Mickiewicza 30, 30-059 Cracow, Poland
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grid organizational memory provision of a high level grid Abstraction Layer supported by ontology alignment
Future Generation Computer Systems, 2007Co-Authors: Bartosz Kryza, Renata Slota, Marta Majewska, Jan Pieczykolan, Jacek KitowskiAbstract:In this paper the problem of managing ontological descriptions for a dynamically-changing Grid environment is addressed. The focus of the research is on unification of semantic descriptions for Grid services and resources through ontologies. The Grid Organizational Memory (GOM) has been designed and implemented to enable storing and accessing Grid metadata, kept in the form of ontologies. In GOM, ontology storage and management are designed to support the natural evolution process both in the knowledge structure and knowledge management services. An important element of the GOM framework is the ontology separation schema, specifying the internal vertical and horizontal dependencies according to the Virtual Organization thematic domains, efficiency of knowledge retrieval and ontology development support. The separation schema is applied in the knowledge base distribution model on the Grid. An ontology alignment-based approach is proposed to minimize user commitment on the Grid ontological metadata, to support ontology usage and development. In particular the ontology similarity based approach is presented as support for ontology updates, e.g. extension with new facts from external ontologies and environments, as well as a more efficient and complete, less implementation-bounded querying process. This paper presents research on semantic description of the Grid environment within the scope of the K-Wf Grid project that addresses knowledge-based semiautomatic workflow construction for applications on the Grid.
Bartosz Kryza - One of the best experts on this subject based on the ideXlab platform.
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erratum to grid organizational memory provision of a high level grid Abstraction Layer supported by ontology alignment future gener comput syst 23 2007 348 358
Future Generation Computer Systems, 2007Co-Authors: Bartosz Kryza, Renata Slota, Marta Majewska, Jan Pieczykolan, Jacek KitowskiAbstract:Erratum Erratum to “Grid organizational memory—provision of a high-level Grid Abstraction Layer supported by ontology alignment” [Future Gener. Comput. Syst. 23 (2007) 348–358] Bartosz Kryzaa, Renata Slotab, Marta Majewskab,∗, Jan Pieczykolana, Jacek Kitowskia,b a Academic Computer Center CYFRONET-AGH, Nawojki 11, 30-950 Cracow, Poland b Institute of Computer Science, AGH University of Science and Technology, Mickiewicza 30, 30-059 Cracow, Poland
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grid organizational memory provision of a high level grid Abstraction Layer supported by ontology alignment
Future Generation Computer Systems, 2007Co-Authors: Bartosz Kryza, Renata Slota, Marta Majewska, Jan Pieczykolan, Jacek KitowskiAbstract:In this paper the problem of managing ontological descriptions for a dynamically-changing Grid environment is addressed. The focus of the research is on unification of semantic descriptions for Grid services and resources through ontologies. The Grid Organizational Memory (GOM) has been designed and implemented to enable storing and accessing Grid metadata, kept in the form of ontologies. In GOM, ontology storage and management are designed to support the natural evolution process both in the knowledge structure and knowledge management services. An important element of the GOM framework is the ontology separation schema, specifying the internal vertical and horizontal dependencies according to the Virtual Organization thematic domains, efficiency of knowledge retrieval and ontology development support. The separation schema is applied in the knowledge base distribution model on the Grid. An ontology alignment-based approach is proposed to minimize user commitment on the Grid ontological metadata, to support ontology usage and development. In particular the ontology similarity based approach is presented as support for ontology updates, e.g. extension with new facts from external ontologies and environments, as well as a more efficient and complete, less implementation-bounded querying process. This paper presents research on semantic description of the Grid environment within the scope of the K-Wf Grid project that addresses knowledge-based semiautomatic workflow construction for applications on the Grid.
Renata Slota - One of the best experts on this subject based on the ideXlab platform.
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erratum to grid organizational memory provision of a high level grid Abstraction Layer supported by ontology alignment future gener comput syst 23 2007 348 358
Future Generation Computer Systems, 2007Co-Authors: Bartosz Kryza, Renata Slota, Marta Majewska, Jan Pieczykolan, Jacek KitowskiAbstract:Erratum Erratum to “Grid organizational memory—provision of a high-level Grid Abstraction Layer supported by ontology alignment” [Future Gener. Comput. Syst. 23 (2007) 348–358] Bartosz Kryzaa, Renata Slotab, Marta Majewskab,∗, Jan Pieczykolana, Jacek Kitowskia,b a Academic Computer Center CYFRONET-AGH, Nawojki 11, 30-950 Cracow, Poland b Institute of Computer Science, AGH University of Science and Technology, Mickiewicza 30, 30-059 Cracow, Poland
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grid organizational memory provision of a high level grid Abstraction Layer supported by ontology alignment
Future Generation Computer Systems, 2007Co-Authors: Bartosz Kryza, Renata Slota, Marta Majewska, Jan Pieczykolan, Jacek KitowskiAbstract:In this paper the problem of managing ontological descriptions for a dynamically-changing Grid environment is addressed. The focus of the research is on unification of semantic descriptions for Grid services and resources through ontologies. The Grid Organizational Memory (GOM) has been designed and implemented to enable storing and accessing Grid metadata, kept in the form of ontologies. In GOM, ontology storage and management are designed to support the natural evolution process both in the knowledge structure and knowledge management services. An important element of the GOM framework is the ontology separation schema, specifying the internal vertical and horizontal dependencies according to the Virtual Organization thematic domains, efficiency of knowledge retrieval and ontology development support. The separation schema is applied in the knowledge base distribution model on the Grid. An ontology alignment-based approach is proposed to minimize user commitment on the Grid ontological metadata, to support ontology usage and development. In particular the ontology similarity based approach is presented as support for ontology updates, e.g. extension with new facts from external ontologies and environments, as well as a more efficient and complete, less implementation-bounded querying process. This paper presents research on semantic description of the Grid environment within the scope of the K-Wf Grid project that addresses knowledge-based semiautomatic workflow construction for applications on the Grid.
Jan Pieczykolan - One of the best experts on this subject based on the ideXlab platform.
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erratum to grid organizational memory provision of a high level grid Abstraction Layer supported by ontology alignment future gener comput syst 23 2007 348 358
Future Generation Computer Systems, 2007Co-Authors: Bartosz Kryza, Renata Slota, Marta Majewska, Jan Pieczykolan, Jacek KitowskiAbstract:Erratum Erratum to “Grid organizational memory—provision of a high-level Grid Abstraction Layer supported by ontology alignment” [Future Gener. Comput. Syst. 23 (2007) 348–358] Bartosz Kryzaa, Renata Slotab, Marta Majewskab,∗, Jan Pieczykolana, Jacek Kitowskia,b a Academic Computer Center CYFRONET-AGH, Nawojki 11, 30-950 Cracow, Poland b Institute of Computer Science, AGH University of Science and Technology, Mickiewicza 30, 30-059 Cracow, Poland
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grid organizational memory provision of a high level grid Abstraction Layer supported by ontology alignment
Future Generation Computer Systems, 2007Co-Authors: Bartosz Kryza, Renata Slota, Marta Majewska, Jan Pieczykolan, Jacek KitowskiAbstract:In this paper the problem of managing ontological descriptions for a dynamically-changing Grid environment is addressed. The focus of the research is on unification of semantic descriptions for Grid services and resources through ontologies. The Grid Organizational Memory (GOM) has been designed and implemented to enable storing and accessing Grid metadata, kept in the form of ontologies. In GOM, ontology storage and management are designed to support the natural evolution process both in the knowledge structure and knowledge management services. An important element of the GOM framework is the ontology separation schema, specifying the internal vertical and horizontal dependencies according to the Virtual Organization thematic domains, efficiency of knowledge retrieval and ontology development support. The separation schema is applied in the knowledge base distribution model on the Grid. An ontology alignment-based approach is proposed to minimize user commitment on the Grid ontological metadata, to support ontology usage and development. In particular the ontology similarity based approach is presented as support for ontology updates, e.g. extension with new facts from external ontologies and environments, as well as a more efficient and complete, less implementation-bounded querying process. This paper presents research on semantic description of the Grid environment within the scope of the K-Wf Grid project that addresses knowledge-based semiautomatic workflow construction for applications on the Grid.
Marta Majewska - One of the best experts on this subject based on the ideXlab platform.
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erratum to grid organizational memory provision of a high level grid Abstraction Layer supported by ontology alignment future gener comput syst 23 2007 348 358
Future Generation Computer Systems, 2007Co-Authors: Bartosz Kryza, Renata Slota, Marta Majewska, Jan Pieczykolan, Jacek KitowskiAbstract:Erratum Erratum to “Grid organizational memory—provision of a high-level Grid Abstraction Layer supported by ontology alignment” [Future Gener. Comput. Syst. 23 (2007) 348–358] Bartosz Kryzaa, Renata Slotab, Marta Majewskab,∗, Jan Pieczykolana, Jacek Kitowskia,b a Academic Computer Center CYFRONET-AGH, Nawojki 11, 30-950 Cracow, Poland b Institute of Computer Science, AGH University of Science and Technology, Mickiewicza 30, 30-059 Cracow, Poland
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grid organizational memory provision of a high level grid Abstraction Layer supported by ontology alignment
Future Generation Computer Systems, 2007Co-Authors: Bartosz Kryza, Renata Slota, Marta Majewska, Jan Pieczykolan, Jacek KitowskiAbstract:In this paper the problem of managing ontological descriptions for a dynamically-changing Grid environment is addressed. The focus of the research is on unification of semantic descriptions for Grid services and resources through ontologies. The Grid Organizational Memory (GOM) has been designed and implemented to enable storing and accessing Grid metadata, kept in the form of ontologies. In GOM, ontology storage and management are designed to support the natural evolution process both in the knowledge structure and knowledge management services. An important element of the GOM framework is the ontology separation schema, specifying the internal vertical and horizontal dependencies according to the Virtual Organization thematic domains, efficiency of knowledge retrieval and ontology development support. The separation schema is applied in the knowledge base distribution model on the Grid. An ontology alignment-based approach is proposed to minimize user commitment on the Grid ontological metadata, to support ontology usage and development. In particular the ontology similarity based approach is presented as support for ontology updates, e.g. extension with new facts from external ontologies and environments, as well as a more efficient and complete, less implementation-bounded querying process. This paper presents research on semantic description of the Grid environment within the scope of the K-Wf Grid project that addresses knowledge-based semiautomatic workflow construction for applications on the Grid.
