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.

A catalogue of OWL ontology antipatterns

Abstract: Debugging inconsistent OWL ontologies is a time-consuming task. Debugging services included in existing ontology engineering tools are still far from providing adequate support to ontology developers and domain experts for this task, due to their lack of efficiency or precision when explaining the main causes for inconsistencies. We present a catalogue of common antipatterns found in inconsistent ontologies that can be used in combination with these tools to make this task more effective.

Industrial strength ontology management

Abstract: Ontologies are becoming increasingly prevalent and important in a wide range of e-commerce applications. E-commerce applications are using ontologies to support parametric searches, enhanced navigation and browsing, interoperable heterogeneous information systems, supplier enablement, configuration management, and transaction discovery. Applications such as information and service discovery and autonomous agents that are built on top of the emerging Semantic Web for the WWW also require extensive use of ontologies. Ontology-enhanced commercial applications, such as these and others require ontology management that is scalable (supporting thousands of simultaneous distributed users), available (running 365×24×7), fast, and reliable. This level of ontology management is necessary not only for the initial development and maintenance of ontologies, but is essential during deployment, when scalability, availability, reliability and performance are absolutely critical. VerticalNet's Ontology Builder and Ontology Server products are specifically designed to provide the ontology management infrastructure needed for e-commerce applications. These tools bring the best ontology and knowledge representation practices together with the best enterprise solutions architecture to provide a robust and scalable ontology management solution.

Applications of a Collaborative Learning Ontology

Abstract: The objective of the research presented in this article is to find representational mechanisms for relating and integrating the collaborative learning elements present in real practical environments, create an integrated ontology that considers and relates these elements, and make use of it to define new collaborative learning scenarios. It is therefore necessary to identify the key ideas underlying the notion of ontology that will be essential in subsequent application development: a list of the basic elements that give rise to a common vocabulary for collaborative learning, and the relationship and dependencies between them. The Activity Theory framework is used as a theoretical foundation for organising the elements in the ontology. This ontology gives rise to the structured elements that form the conceptual structure for the definition and construction of CSCL environments, and the analysis and assessment of group collaboration.

An Ontology for Modelling Security: The Tropos Approach

Abstract: It has been argued that security concerns should inform all the stages of the development process of an agent-based system. However, this is not the case since current agent-oriented methodologies do not, usually, consider security concepts within their modelling ontology. In this paper we present extensions to the Tropos ontology to enable it to model security.

Quality assurance of medical ontologies.

Abstract: Objective: To review the literature concerning the quality assurance of medical ontologies. Methods: scholar.google.com was searched using the search strings (+ontology +”quality assurance”) and (+ontology +”evaluation/evaluating”). Relevant publications were selected by manual review. Other work already familiar to the author, or suggested by other researchers contacted by the author, were included. The papers were analysed for common themes. Results: Four broad properties of an ontology were identified that may be quality-assured: philosophical validity, compliance with meta-ontological commitments, ‘content correctness’, and fitness for purpose. Each published methodology addressed only a subset of these properties. ‘Content’ may be divided into domain knowledge content, and metadata describing either the provenance of domain knowledge content, or relationships between it and lexical information (e.g. for display and retrieval). ‘Correctness’ (whether of domain knowledge content or metadata) may also be further subdivided into truth, completeness, parsimony and internal consistency. Conclusions: Understanding of how to assure the quality of ontologies, or evaluate their fitness for specific purposes, is improving but remains poor. A combination of methodologies is required, but tools to support a comprehensive quality assurance programme remain lacking. Perfect quality of an ontology is not provable and may not be desirable: an ontology compliant with all current philosophical theories, following necessary ontological commitments, and with entirely ‘correct’ content, may be too complex to be directly usable or useful. The extent to which an ontology’s fitness for purpose is predicted or influenced by its other properties remains to be determined. Field studies of ontologies in use, including interrater effects, are required.