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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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Proceedings ArticleDOI
04 Jan 2000
TL;DR: DOME is developing techniques for ontology-based information content description and a suite of tools for domain ontology management, which makes it possible to dynamically find relevant data sources based on content and to integrate them as needed.
Abstract: Service-oriented business-to-business e-commerce requires dynamic and open interoperable information systems. Although most large organisations have information regarding products, services and customers stored in databases, and XML/DTD allows these to be published over the Internet, sharing information among these systems has been prevented by semantic heterogeneity. True electronic commerce will not happen until the semantics of the terms used to model these information systems can be captured and processed by computers. Developing a machine processable ontology (vocabulary) is intrinsically hard. The semantics of a term varies from one context to another. We believe ontology engineering will be a major effort of any future application development. In this paper we describe our work on building a Domain Ontology Management Environment (DOME). DOME is developing techniques for ontology-based information content description and a suite of tools for domain ontology management. Information content description extends traditional meta data to an ontology. This makes it possible to dynamically find relevant data sources based on content and to integrate them as needed.

49 citations

Book ChapterDOI
23 Dec 2008
TL;DR: The aim of this chapter is to motivate the need for ontology matching, introduce the basics of ontological matching, and then discuss several promising themes in the area as reflected in recent research works.
Abstract: Matching of concepts describing the meaning of data in heterogeneous distributed information sources, such as database schemas and other metadata models, grouped here under the heading of an ontology, is one of the basic operations of semantic heterogeneity reconciliation The aim of this chapter is to motivate the need for ontology matching, introduce the basics of ontology matching, and then discuss several promising themes in the area as reflected in recent research works In particular, we focus on such themes as uncertainty in ontology matching, matching ensembles, and matcher self-tuning Finally, we outline some important directions for future research

49 citations

Book ChapterDOI
11 Oct 2015
TL;DR: The GeoLink modular ontology consists of an interlinked collection of ontology design patterns engineered as the result of a collaborative modeling effort, and it is discussed how data integration can be achieved using the patterns while respecting the existing heterogeneity within the participating repositories.
Abstract: GeoLink is one of the building block projects within EarthCube, a major effort of the National Science Foundation to establish a next-generation knowledge infrastructure for geosciences. As part of this effort, GeoLink aims to improve data retrieval, reuse, and integration of seven geoscience data repositories through the use of ontologies. In this paper, we report on the GeoLink modular ontology, which consists of an interlinked collection of ontology design patterns engineered as the result of a collaborative modeling effort. We explain our design choices, present selected modeling details, and discuss how data integration can be achieved using the patterns while respecting the existing heterogeneity within the participating repositories.

49 citations

Proceedings Article
01 Jan 2002
TL;DR: This paper describes the building of an ontology in the surgical intensive care medical domain and considers textual reports as the main source of information and a natural language processing tool, the SYNTEX software, is used to build the ontology.
Abstract: In many medical fields, the maintenance of unabiguous terminologies, the comparison and aggregation of different terminologies go through the building of formal specialized clinical terminologies, the ontologies. In this paper, we describe the building of an ontology in the surgical intensive care medical domain. We considered textual reports as the main source of information and a natural language processing tool, the SYNTEX software, is used to build the ontology. We have tested the possibility for an expert to build a sizeable ontology in a reasonable time. The quality of the ontology has been evaluated according to its capacity to cover the ICD-10 terminology in the field. Examples of coding activity with the ontology are proposed and discussed.

49 citations

Journal ArticleDOI
TL;DR: Affective applications require a common way to represent emotions so it can be more easily integrated, shared and reused by applications improving user experience, and this proposal is to use rich semantic models based on ontology.

49 citations


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