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.

Cupboard --- A Place to Expose Your Ontologies to Applications and the Community

Abstract: In this demo, we present the Cupboard system for ontology publishing, sharing and reuse. This system is intended to support both ontology engineers and ontology users/practitioners. For the developers of ontologies, it offers a complete infrastructure to host their ontologies in online ontology spaces, providing mechanisms to describe, manage and effectively exploit these ontologies (through APIs). Furthermore, these ontologies are then exposed to the community, providing users with a complete, friendly environment to find, assess and reuse ontologies.

Evaluation of the OQuaRE framework for ontology quality

Abstract: The increasing importance of ontologies has resulted in the development of a large number of ontologies in both coordinated and non-coordinated efforts. The number and complexity of such ontologies make hard to ontology and tool developers to select which ontologies to use and reuse. So far, there are no mechanism for making such decisions in an informed manner. Consequently, methods for evaluating ontology quality are required. OQuaRE is a method for ontology quality evaluation which adapts the SQuaRE standard for software product quality to ontologies. OQuaRE has been applied to identify the strengths and weaknesses of different ontologies but, so far, this framework has not been evaluated itself. Therefore, in this paper we present the evaluation of OQuaRE, performed by an international panel of experts in ontology engineering. The results include the positive and negative aspects of the current version of OQuaRE, the completeness and utility of the quality metrics included in OQuaRE and the comparison between the results of the manual evaluations done by the experts and the ones obtained by a software implementation of OQuaRE.

Ontologies for corporate web applications

Abstract: In this article, we discuss some issues that arise when ontologies are used to support corporate application domains such as electronic commerce (e-commerce) and some technical problems in deploying ontologies for real-world use. In particular, we focus on issues of ontology integration and the related problem of semantic mapping, that is, the mapping of ontologies and taxonomies to reference ontologies to preserve semantics. Along the way, we discuss what typically constitutes an ontology architecture. We situate the discussion in the domain of business-to-business (B2B) e-commerce. By its very nature, B2B e-commerce must try to interlink buyers and sellers from multiple companies with disparate product-description terminologies and meanings, thus serving as a paradigmatic case for the use of ontologies to support corporate applications.

A Peer-review Approach for Ontology Evaluation

Abstract: The semantic web is intended for knowledge sharing among agents as well as humans [BernersLee et al., 2001]. To achieve this goal, ontologies, which express knowledge in a certain representation as well as in machine interpretable form were introduced, and have grown considerably in number. To have a sustained growth of the semantic web and to have better interoperability between intelligent systems and applications it is highly desirable and is very critical to reuse existing ontologies. Furthermore, ontology engineering is an exceedingly intricate and challenging task requiring specialized design skills as well as comprehensive domain knowledge. Reuse of ontologies present on the web will ease this burden. Users who wish to reuse these ontologies, however, are often confronted with knowledge resources that cover overlapping domains of interests, and that vary in quality of their content. To our knowledge, currently, there are no operational quantitative or qualitative methodologies to assess the quality of ontology content. Consequently, more often than not knowledge engineers will develop their ontologies from scratch rather than reuse existing ones.

Method and system for ontology modeling based on the exchange of annotations

Abstract: The present invention is based on the use of annotation. An annotation is an information that can be applied to a content to provide extra information. The present invention provides for a method and system to use an annotation being imported into a document to replicate the ontology related to this annotation and to exploits this replication to create indirect links between different ontologies elements. The indirect links between the different ontologies constitute by themselves a global ontology that can be used by search engines to locate web contents in the Semantic Web.