Conference Paper

WebODE: a scalable workbench for ontological engineering.

DOI: 10.1145/500737.500743 Conference: Proceedings of the First International Conference on Knowledge Capture (K-CAP 2001), October 21-23, 2001, Victoria, BC, Canada
Source: OAI

ABSTRACT This paper presents WebODE as a workbench for ontological engineering that not only allows the collaborative edition of ontologies at the knowledge level, but also provides a scalable architecture for the development of other ontology development tools and ontology-based applications. First, we will describe the knowledge model of WebODE, which has been mainly extracted and improved from the reference model of METHONTOLOGY?s intermediate representations. Later, we will present its architecture, together with the main functionalities of the WebODE ontology editor, such as its import/export service, translation services, ontology browser, inference engine and axiom generator, and some services that have been integrated in the workbench: WebPicker, OntoMerge and the OntoCatalogue.

0 Bookmarks
 · 
78 Views
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: The success of the Semantic Web has been linked with the use of ontologies on the Semantic Web. Given the important role of ontologies on the Semantic Web, the need for domain ontology development and management are becoming more and more important to most kinds of knowledge-driven applications. Numerous proposed approaches to evaluating an ontology depend on the purpose of evaluation. Some tools evaluate ontologies for correctness, completeness and redundancy so that applications do not use poorly or incorrectly formulated ontologies; others have developed methodologies to ensure the consistency and completeness of an ontology throughout its entire lifetime. Recent proposals by researchers also suggest the importance of tools to help analyze ontologies for re-use by consumers. The scarcity of theoretically and empirically validated measures for consumer analysis of ontologies has motivated our research to develop an ontological analysis tool that can be used on both intensional and extensional ontologies. The suite of metrics that are being developed and implemented as a plug-in to the Protege, ontology editor experimental results on two existing ontologies, WordNet and UMLS and our plans to continue validation of this tool on other ontologies such as UNSPSC and eCl@ss from the e-commerce domain are discussed.
    International Journal of General Systems 01/2008; 37(1). · 0.73 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: We developed the OBR-Scolio ontology that models scoliosis as pathological state of spine using the method of extracting from the FMA reference ontology in anatomical domain and the principal ontology framework of the OBR reference ontology, which is spread over anatomy, physiology and pathology domains. Following the FMA modeling framework, OBR-Scolio ontology initially is created in Protégé using its frame based representation. In order to enable more powerful reasoning support, ontology visualization, and more precise concepts' definition and description, we converted OBR-Scolio in OWL DL language, due to its higher expressiveness. The paper addresses and discusses the key conversion principles, as well as our experience in such conversion, and the results obtained from Racer reasoner.
    Computer Science and Information Systems 01/2013; 10(3):1359-1385. · 0.55 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Recently, ontology learning is emerging as a new hotspot of research in computer science. In this paper the issue of ontology learning is divided into nine sub-issues according to the structured degree (structured, semi-structured, non-structured) of source data and learning objects (concept, relation, axiom) of ontology. The characteristics, major approaches and the latest research progress of the nine sub-issues are summarized. Based on the analysis framework proposed in the paper, existing ontology learning tools are introduced and compared. The problems of current research are discussed, and finally the future directions are pointed out.
    Journal of Software 01/2006; 17(9).

Full-text (4 Sources)

Download
100 Downloads
Available from
Jun 2, 2014