Results 221 to 230 of about 54,469 (259)
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An Evaluation Method for Ontology Complexity Analysis in Ontology Evolution
Lecture Notes in Computer Science, 2006Ontology evolution becomes extremely important with the tremendous application of ontology. Ontology's size and complexity change a lot during its evolution. Thus it's important for ontology developers to analyze and try to control ontology's complexity to ensure the ontology is useable.
Dalu Zhang
exaly +2 more sources
Evolutive ontologies by versioning
2010 Fourth International Conference on Research Challenges in Information Science (RCIS), 2010To solve semantic conflicts in the mediation of heterogeneous distributed databases, we propose a multi-agent system which contains domain ontologies. When a local source is added by an expert, ontology is dynamically created by the system. The expert can also completed it.
Guilaine Talens, Danielle Boulanger
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Requirements for the visualisation of ontological evolution
Proceedings Theory and Practice of Computer Graphics, 2004., 2004Ontology evolution is one of the key problems facing ontology users today. Adapting ontologies to meet new requirements involves understanding various sections of ontologies and the changes made thereafter. Currently, a large amount of research has been undertaken in automatic change detection and change effects, however the process is far from ...
Benjamin James Blundell, Steve Pettifer
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Dynamic evolutions based on ontologies
Knowledge-Based Systems, 2007With the continuous changes in application requirements of the enterprises, Web resources must be updated, so do the underlying ontologies that are associated with the Web resources. In the situation, it is very challenging for ontological engineers to specify the changes of ontologies, keep their consistencies and achieve semantic query of Web ...
Yinglong Ma 0001 +2 more
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2010
Ontologies evolve continuously throughout their lifecycle to respond to different change requirements. Several problems emanate from ontology evolution: capturing change requirements, change representation, change impact analysis and resolution, change validation, change traceability, change propagation to dependant artifacts, versioning, etc.
Rim Djedidi, Marie-Aude Aufaure
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Ontologies evolve continuously throughout their lifecycle to respond to different change requirements. Several problems emanate from ontology evolution: capturing change requirements, change representation, change impact analysis and resolution, change validation, change traceability, change propagation to dependant artifacts, versioning, etc.
Rim Djedidi, Marie-Aude Aufaure
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Ontological realism: A methodology for coordinated evolution of scientific ontologies [PDF]
Applied Ontology, 2010 Since 2002 we have been testing and refining a methodology for ontology development that is now being used by multiple groups of researchers in different life science domains. Gary Merrill, in a recent paper in this journal, describes some of the reasons why this methodology has been found attractive by researchers in the biological and biomedical ...
Barry Smith 0001, Werner Ceusters
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2009
As semantic web technologies, including semantic search, have matured from visions to practical applications, this chapter describes a case study of (semi-) automatic construction and maintenance of ontologies and their applications to the media domain.
Christian Weiss +4 more
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As semantic web technologies, including semantic search, have matured from visions to practical applications, this chapter describes a case study of (semi-) automatic construction and maintenance of ontologies and their applications to the media domain.
Christian Weiss +4 more
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Cooperative evolution of service ontologies
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems, 2007Most of the proposed approaches in automatic service selection assume the existence of a common ontology among communicating agents. However, this assumption becomes difficult to support in environments, where the agents' ontologies can evolve independently based on their individual experiences.
Murat Sensoy, Pinar Yolum
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Datatype evolution on RDF ontologies
International Journal of Web Engineering and Technology, 2014Semantic web ontologies are not static but evolve as the understanding of the domain or the domain itself grows or evolves. This evolution is usually independent of the ontological instance descriptions which are stored in knowledge bases KBs. Therefore, the effects of an ontology update on instance descriptions which are migrated to a new ontology ...
Anastasia Analyti, Ioannis Pachoulakis
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