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.

Adopting ontology to facilitate knowledge sharing

Abstract: Ontology-enabled knowledge management experiences derived from a domain ontology development project at Intel Corporation are described and assessed.

A machine learning approach to multilingual and cross-lingual ontology matching

Abstract: Ontology matching is a task that has attracted considerable attention in recent years. With very few exceptions, however, research in ontology matching has focused primarily on the development of monolingual matching algorithms. As more and more resources become available in more than one language, novel algorithms are required which are capable of matching ontologies which share more than one language, or ontologies which are multilingual but do not share any languages. In this paper, we discuss several approaches to learning a matching function between two ontologies using a small set of manually aligned concepts, and evaluate them on different pairs of financial accounting standards, showing that multilingual information can indeed improve the matching quality, even in cross-lingual scenarios. In addition to this, as current research on ontology matching does not make a satisfactory distinction between multilingual and cross-lingual ontology matching, we provide precise definitions of these terms in relation to monolingual ontology matching, and quantify their effects on different matching algorithms.

A proposal for a unified process for ontology building : UPON

Abstract: Ontologies are the backbone of the Semantic Web, a semantic-aware version of the World Wide Web. To the end of making available large-scale, high quality domain ontologies, effective and usable methodologies are needed to facilitate the process of Ontology Building. Many of the methods proposed so far only partly refer to well-known and widely used standards from other areas, like software engineering and knowledge representation. In this paper we present UPON, a methodology for ontology building derived from the Unified Software Development Process. A comparative evaluation with other methodologies, as well as the results of its adoption in the context of the Athena Integrated Project, are also discussed.

Ontologies for multi-agent systems in manufacturing domain

Abstract: Ontologies play important role in knowledge sharing and exploration, particularly in communication in multi-agent systems. We briefly survey, compare and analyze current usage of ontologies in the area of manufacturing and compare it with the ontology modelling for the Semantic Web. We focus on the problem of scalable interoperability in open heterogeneous multi-agent systems, such as supply chains. A study of transformation of a particular ontology from the manufacturing domain into the form suitable for communication with Semantic Web agents is presented. We conclude with a discussion of what we see as the next important steps in the development of ontologies in the manufacturing domain in order to have more automated approaches for ontological knowledge integration.