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.
Papers published on a yearly basis
Papers
More filters
Proceedings Article•
26 Oct 2008
TL;DR: The OAEI-2008 ontology matching campaign as mentioned in this paper has four tracks with 8 test sets followed by 13 participants, and the official results of the campaign are those published on the ODEI web site.
Abstract: Ontology matching consists of finding correspondences between ontology entities. OAEI campaigns aim at comparing ontology matching systems on precisely defined test sets. Test sets can use ontologies of different nature (from expressive OWL ontologies to simple directories) and use different modalities, e.g., blind evaluation, open evaluation, consensus. OAEI-2008 builds over previous campaigns by having 4 tracks with 8 test sets followed by 13 participants. Following the trend of previous years, more participants reach the forefront. The official results of the campaign are those published on the OAEI web site.
60 citations
TL;DR: The method is based on so-called re-engineering patterns, which define a procedure that transforms the non-ontological resource components into ontology representational primitives using WordNet for making explicit the relations among theNon-ontology resource terms.
Abstract: To speed up the ontology development process, ontology developers are reusing all available ontological and non-ontological resources, such as classification schemes, thesauri, lexicons, and so forth, that have already reached some consensus. Non-ontological resources are highly heterogeneous in their data model and storage system or implementation. The reuse of these non-ontological resources involves their re-engineering into ontologies. This paper presents a method for re-engineering non-ontological resources into ontologies. The method is based on so-called re-engineering patterns, which define a procedure that transforms the non-ontological resource components into ontology representational primitives using WordNet for making explicit the relations among the non-ontological resource terms. The paper also provides the description of NOR2O, a software library that implements the transformations suggested by the patterns. Finally, it depicts an evaluation of the method, patterns, and software library proposed.
60 citations
01 Jan 2012
TL;DR: This chapter provides methodological guidelines for evaluating stand-alone ontologies as well as ontology networks and illustrates how various evaluation methods developed by the NeOn project, and not only, can be used at different stages of the evaluation process.
Abstract: Ontology evaluation refers to the activity of checking the technical quality of an ontology against a frame of reference. As such, it is of core importance for ontology engineering supporting scenarios such as ontology validation, knowledge selection, or the evaluation of knowledge extraction algorithms. In this chapter, we provide methodological guidelines for evaluating stand-alone ontologies as well as ontology networks. Our goal is not only to present the NeOn perspective on this issue but to also provide a practical outlook to the vast area of work in the area of ontology evaluation. Without performing an extensive state-of-the-art analysis of this research field, we aim to illustrate how various evaluation methods developed by the NeOn project, and not only, can be used at different stages of the evaluation process. We conclude the chapter with some concrete examples of performing ontology evaluation.
60 citations
TL;DR: An ontology is a claim on/for knowledge that attempts to model what is known about a domain of discourse to build an abstract (yet extendable) philosophical and practical conceptualization of the essence of knowledge in a domain.
Abstract: An ontology is a claim on/for knowledge that attempts to model what is known about a domain of discourse. A domain ontology does not aim to exhaustively list all concepts in a domain, but rather to build an abstract (yet extendable) philosophical (yet practical) conceptualization of the essence of knowledge in a domain. At the core of any ontology is an ontological model—an architecture of how the world (in a domain) behaves (or becomes). The ontology categorizes construction knowledge across three main dimensions: concept, modality, and context. Concept encompasses five key terms: entity (further subdivided into generic and secondary), environmental element, abstract concept, attribute, and system (combinations of the previous four types). Modality is a means for generating a variety of types for each of the described concepts. Context allows for linking concepts in a variety of ways—creating different worlds.
60 citations
26 Oct 2008
TL;DR: The concepts of algebra of relations are proposed to use in order to express the relations between ontology entities in a general way in expressing disjunctive relations, merging alignments in different ways, amalgamating alignments with relations of different granularity, and composing alignments.
Abstract: Correspondences in ontology alignments relate two ontology entities with a relation. Typical relations are equivalence or subsumption. However, different systems may need different kinds of relations. We propose to use the concepts of algebra of relations in order to express the relations between ontology entities in a general way. We show the benefits in doing so in expressing disjunctive relations, merging alignments in different ways, amalgamating alignments with relations of different granularity, and composing alignments.
60 citations