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Ontology-based data integration

About: Ontology-based data integration is a research topic. Over the lifetime, 11065 publications have been published within this topic receiving 216888 citations.


Papers
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01 Jan 2007
TL;DR: The relationship between these formalisms and various nonstandard reasoning services that have been recently proposed for assisting the modeler in ontology integration and knowledge reuse tasks, such as locality of an ontology and conservative extensions are established.
Abstract: In this paper, we compare various formalisms that have been recently introduced or used for distributed reasoning, ontology integration, and related topics; in particular, we focus on E-connections, Distributed Description Logics, and Package-based Description Logics. We then establish the relationship between these formalisms and various nonstandard reasoning services that have been recently proposed for assisting the modeler in ontology integration and knowledge reuse tasks, such as locality of an ontology and conservative extensions.

66 citations

Book ChapterDOI
Guiraude Lame1
01 Jan 2005
TL;DR: A method to identify ontology components that relies on Natural Language Processing techniques to extract concepts and relations among these concepts and is applied in the legal field to build an ontology dedicated to information retrieval.
Abstract: A method to identify ontology components is presented in this article. The method relies on Natural Language Processing (NLP) techniques to extract concepts and relations among these concepts. This method is applied in the legal field to build an ontology dedicated to information retrieval. Legal texts on which the method is performed are carefully chosen as describing and conceptualizing the legal domain. We suggest that this method can help legal ontology designers and may be used while building ontologies dedicated to other tasks than information retrieval

66 citations

01 Jan 2006
TL;DR: A collaborative methodology for ontology development that supports a team to reach consensus through iterative evaluations and improvements that terminates when the participants have no more critiques and objections.
Abstract: Ontology development is time and money consuming as well as an error-prone process; the need for an embedded mechanism that evaluates quality and acceptance of the resultant collaborative ontology is apparent. Existing tools and methodologies lack consensus building mechanisms that must be employed in order for a team to cooperate and agree on the design and deployment process of a shared one. In this paper we describe a collaborative methodology for ontology development that supports a team to reach consensus through iterative evaluations and improvements. In every cycle of the iterative process, the structure of the collaborative ontology is revised and evolved. Finally, the process terminates when the participants have no more critiques and objections. We illustrate the methodology by creating an ontology for an airline training centre using the PROTEGE software tool.

66 citations

01 Jan 2001
TL;DR: The proposed integration architecture aims at exploiting data semantics in order to provide a coherent and meaningful view of the integrated heterogeneous information sources, and favors the lazy retrieval paradigm over the data warehousing approach.
Abstract: The proposed integration architecture aims at exploiting data semantics in order to provide a coherent and meaningful (with respect to a given conceptual model) view of the integrated heterogeneous information sources. The architecture is split into five separate layers to assure modularization, providing description, requirements, and interfaces for each. It favors the lazy retrieval paradigm over the data warehousing approach. The novelty of the architecture lies in the combination of semantic and on-demand driven retrieval. This line of attack offers several advantages but brings also challenges, both of which we discuss with respect to RDF, the architecture’s underlying model.

66 citations

Journal ArticleDOI
TL;DR: The efficacy of the ontology-based approach is demonstrated by constructing an ontology for the cultural heritage domain of Indian classical dance, and a browsing application is developed for semantic access to the heritage collection of Indian dance videos.
Abstract: Preservation of intangible cultural heritage, such as music and dance, requires encoding of background knowledge together with digitized records of the performances. We present an ontology-based approach for designing a cultural heritage repository for that purpose. Since dance and music are recorded in multimedia format, we use Multimedia Web Ontology Language (MOWL) to encode the domain knowledge. We propose an architectural framework that includes a method to construct the ontology with a labeled set of training data and use of the ontology to automatically annotate new instances of digital heritage artifacts. The annotations enable creation of a semantic navigation environment in a cultural heritage repository. We have demonstrated the efficacy of our approach by constructing an ontology for the cultural heritage domain of Indian classical dance, and have developed a browsing application for semantic access to the heritage collection of Indian dance videos.

66 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202337
2022149
202111
202011
201919
201843