Topic
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.
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01 Jan 1998
TL;DR: An investigation into the reuse and application of an existing ontology for the purpose of specifying and formally developing software for aircraft design finds that knowledge reuse was cost-effective and it would have taken significantly longer to design the knowledge content of this ontology from scratch in the authors' application.
Abstract: In this paper, we describe an investigation into the reuse and application of an existing ontology for the purpose of specifying and formally developing software for aircraft design. Our goals were to clearly identify the processes involved in the task, and assess the cost-effectiveness of reuse. Our conclusions are that (re)using an ontology is far from an automated process, and instead requires significant effort from the knowledge engineer. We describe and illustrate some intrinsic properties of the ontology translation problem and argue that fully automatic translators are unlikely to be forthcoming in the foreseeable future. Despite the effort involved, our subjective conclusions are that in this case knowledge reuse was cost-effective, and that it would have taken significantly longer to design the knowledge content of this ontology from scratch in our application. Our preliminary results are promising for achieving larger-scale knowledge reuse in the future.
130 citations
31 May 2009
TL;DR: A general method and novel algorithmic techniques to facilitate the integration of independently developed ontologies using mappings and a preliminary evaluation suggests that this approach is both useful and feasible in practice.
Abstract: We propose a general method and novel algorithmic techniques to facilitate the integration of independently developed ontologies using mappings. Our method and techniques aim at helping users understand and evaluate the semantic consequences of the integration, as well as to detect and fix potential errors. We also present ContentMap, a system that implements our approach, and a preliminary evaluation which suggests that our approach is both useful and feasible in practice.
130 citations
01 Jul 2011
TL;DR: In the last decades, the use of ontologies in information systems has become more and more popular in various fields, such as web technologies, database integration, multi agent systems, natural language processing, etc.
Abstract: In the last decades, the use of ontologies in information systems has become more and more popular in various fields, such as web technologies, database integration, multi agent systems, natural language processing, etc. Artificial intelligent researchers have initially borrowed the word “ontology” from Philosophy, then the word spread in many scientific domain and ontologies are now used in several developments.
129 citations
TL;DR: The methodology, design and development of ontology for UTCMLS is focused on, which uses Protégé 2000 for ontology development of concepts and relationships that represent the domain and that will permit storage of TCM knowledge.
129 citations
Proceedings Article•
30 Jul 2005TL;DR: An in-depth analysis of the output of the system shows that the model is accurate and has good potentials for text mining and ontology building applications.
Abstract: In this paper we present an unsupervised model for learning arbitrary relations between concepts of a molecular biology ontology for the purpose of supporting text mining and manual ontology building. Relations between named-entities are learned from the GENIA corpus by means of several standard natural language processing techniques. An in-depth analysis of the output of the system shows that the model is accurate and has good potentials for text mining and ontology building applications.
129 citations