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 2003
TL;DR: Ontology and the related term "semantics" have recently found increased attention in database discussions as mentioned in this paper, and early discussions of ontology issues important for databases were lost in a sea of papers on technical, mostly performance issues, despite the fact that textbooks as early as [134] discussed briefly the relationship between information system and real world.
Abstract: Ontology and the related term “semantics” have recently found increased attention in database discussions. Early discussions of ontology issues important for databases [126,78] were lost in a sea of papers on technical, mostly performance issues, despite the fact that textbooks as early as [134] discussed briefly the relationship between information system and real world.
102 citations
TL;DR: A change detection approach in the context of an ontology evolution framework for OWL DL ontologies that allows ontology engineers to request and apply changes to the ontology they manage and assures that the ontologies and its depending artifacts remain consistent after changes have been applied.
102 citations
TL;DR: It is remarkable to some of us that up to this point, there has been no thoroughgoing discussion by GIS practitioners and theorists about the epistemology of their subject, the ontologies of their objects, and the political commitments embedded in their practices.
Abstract: Metadata are an extant mechanism for conveying ontological information about semantic data. Metadata have the advantage of being institutionally and structurally ensconced in GIS. At present, however, they lack fields to express information beyond the technical and geometric domain. This paper describes a framework for the creation of extended metadata for non-spatial attributes, with the goal of incorporating ontological context. We use an informatics interpretation of ontology which refers to the total universe of discourse associated with a given attribute (database field). In other words, an ontology is the possible range of meaning offered by an encoded field. Current ontology research in GIScience has focused on data structuring and modelling. Implementation of these schemes demands restructuring of existing relational database models. An alternative is to extend current metadata schemes (e.g. ISO 19115) to include context-based and tacit information about semantic attributes. Such ontology-based extended metadata permits data selection and interoperability decisions that are ultimately more defensible. We have developed eight preliminary fields to add to existing metadata frameworks that will enable ontological context to travel with the data. This paper illustrates a preliminary implementation based on the integration of non-commensurate cadastral data. The results illustrate the value of ontology-based metadata in highlighting descriptive and substantive differences between similar classification systems. Recognition of semantic heterogeneity is the basis for creating defensible data linkages between multiple datasets. The development of ontology-based metadata is profoundly
101 citations
25 Jul 2001
TL;DR: The main contribution is to show how visual representations of information can be based on ontological classifications of that information based on the central role of ontologies on the Semantic Web.
Abstract: The main contribution is to show how visual representations of information can be based on ontological classifications of that information. We first discuss the central role of ontologies on the Semantic Web. We subsequently outline our general approach to the construction of ontology-based visualisations of data. This is followed by a set of examples of ontology-based visualisations which all differ in interesting respects. We conclude with a brief discussion of related work.
101 citations
01 Jan 2003
TL;DR: This discussion in light of the ontology and (meta)data standards that exist in the Semantic Web is presented and a corresponding implementation, the KAON SERVER, is presented.
Abstract: The growing use of ontologies in applications creates the need for an infrastructure that allows developers to more easily combine different software modules like ontology stores, editors, or inference engines towards comprehensive ontology-based solutions. We call such an infrastructure Ontology Software Environment. The papers discusses requirements and design issues of such an Ontology Software Environment. In particular, we present this discussion in light of the ontology and (meta)data standards that exist in the Semantic Web and present our corresponding implementation, the KAON SERVER.
101 citations