Using the Ontology Maturing Process Model for Searching, Managing and Retrieving Resources with Semantic Technologies

Semantic technologies are very helpful in improving existing systems for searching, managing and retrieving of resources, e.g. image search, bookmarking or expert finder systems. They enhance these systems through background knowledge stored in ontologies. However, in most cases, resources in these systems change very fast. In consequence, they require a dynamic and agile change of underlying ontologies. Also, the formality of these ontologies must fit the users needs and capabilities and must be appropriate and usable. Therefore, a continuous, collaborative and work or task integrated development of these ontologies is required. In this paper, we present how these requirements occur in real world applications and how they are solved and implemented using our Ontology Maturing Process Model.

[1]  Simone Braun,et al.  SOBOLEO -- Social Bookmarking and Lighweight Engineering of Ontologies , 2007, CKC.

[2]  Andreas Walter,et al.  ImageNotion: Methodology, Tool Support and Evaluation , 2007, OTM Conferences.

[3]  Heidrun Allert,et al.  Rethinking the Use of Ontologies in Learning , 2006, EC-TEL Workshops.

[4]  Robert Stevens,et al.  Promotion of Ontological Comprehension: Exposing Terms and Metadata with Web 2.0 , 2007, CKC.

[5]  Marieke Guy,et al.  Folksonomies: Tidying Up Tags? , 2006, D Lib Mag..

[6]  Andreas Walter,et al.  IMAGENOTION - Collaborative Semantic Annotation of Images and Image Parts and Work Integrated Creation of Ontologies , 2007, CSSW.

[7]  Simone Braun,et al.  Ontology Maturing: a Collaborative Web 2.0 Approach to Ontology Engineering , 2007, CKC.

[8]  Zahir Tari,et al.  On the Move to Meaningful Internet Systems 2007: CoopIS, DOA, ODBASE, GADA, and IS, OTM Confederated International Conferences CoopIS, DOA, ODBASE, GADA, and IS 2007, Vilamoura, Portugal, November 25-30, 2007, Proceedings, Part II , 2007, OTM Conferences.

[9]  Martin Hepp,et al.  myOntology : The Marriage of Ontology Engineering and Collective Intelligence , 2007 .

[10]  Bernardo A. Huberman,et al.  Usage patterns of collaborative tagging systems , 2006, J. Inf. Sci..

[11]  Martin Hepp,et al.  Possible Ontologies: How Reality Constrains the Development of Relevant Ontologies , 2007, IEEE Internet Computing.

[12]  David J. Israel,et al.  A Question-Answering System for AP Chemistry: Assessing KR&R Technologies , 2004, KR.

[13]  Sean Bechhofer,et al.  SKOS Simple Knowledge Organization System Reference , 2009 .

[14]  George A. Vouros,et al.  HCOME: A Tool-Supported Methodology for Engineering Living Ontologies , 2004, SWDB.

[15]  Bernardo A. Huberman,et al.  The Structure of Collaborative Tagging Systems , 2005, ArXiv.

[16]  Katinka Wolter,et al.  Formal Methods and Stochastic Models for Performance Evaluation, Fourth European Performance Engineering Workshop, EPEW 2007, Berlin, Germany, September 27-28, 2007, Proceedings , 2007, European Performance Engineering Workshop.