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Ontology Evolution: A Case Study on Semantic Technology in the Media Domain
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Author(s): Christian Weiss (T-Systems Enterprise Services GmbH, Germany), Jon Atle Gulla (Norwegian University of Science and Technology, Norway), Jin Liu (Enterprise Services GmbH, Germany), Terje Brasethvik (Norwegian University of Science and Technology, Norway)and Felix Burkhardt (T-Systems Enterprise Services GmbH, Germany)
Copyright: 2009
Pages: 13
Source title:
Handbook of Research on Social Dimensions of Semantic Technologies and Web Services
Source Author(s)/Editor(s): Maria Manuela Cruz-Cunha (Polytechnic Institute of Cavado and Ave, Portugal), Eva F. Oliveira (Polytechnic Institute of Cavado and Ave, Portugal), Antonio J. Tavares (Polytechnic Institute of Cavado and Ave, Portugal)and Luis G. Ferreira (Polytechnic Institute of Cavado and Ave, Portugal)
DOI: 10.4018/978-1-60566-650-1.ch006
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Abstract
As semantic web technologies, including semantic search, have matured from visions to practical applications, this chapter describes a case study of (semi-) automatic construction and maintenance of ontologies and their applications to the media domain. A substantial amount of work has been done and will be done to integrate semantic search technologies into all kind of services where the underlying data is crucial for the success of automatic processing. Semantic search technologies should help both the user-to-machine and machine-to-machine communication to understand the meaning behind the data as well as to retrieve information according to user’s requests and needs. The crucial question is how to manage the semantic content (meaning) and how to deliver it in order to increase the value-chain of users’ benefits. Ontologies provide the basis for machine-based data understanding and ontology-based semantic search as they play a major role in allowing semantic access to data resources. However, the human effort needed for creating, maintaining and extending ontologies is often unreasonably high. In order to reduce effort for engineering and managing ontologies, the authors have developed a general framework for ontology learning from text. This framework has been applied in the media domain, in particular to video, music and later on to game search to offer an extended user experience in machineto machine as well as user-machine interaction.
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