EnArgus: A Knowledge-Based Search Application for Energy Research Projects

Often the users of a semantic search application are facing the problem that they do not find appropriate terms for their search. This holds especially if the data to be searched is from a technical field in which the user does not have expertise. In order to support the user finding the results he seeks, we developed a domain-specific ontology and implemented it into a search application. The ontology serves as a knowledge base, suggesting technical terms to the user which he can add to his query. In this paper, we present the search application and the underlying ontology as well as the project EnArgus in which the application was developed.

• Frederike Ohrem
• Lukas Sikorski
• Bastian Haarmann

• Information system
• knowledge representation
• ontology
• semantic search.

[1] Bastian Haarmann & Lukas Sikorski & Frederike Gottsmann.
“Knowledge for Information Systems Aquired from a Co-Created Text
Collection”. Proceedings of the World Academy of Science,
Engineering & Technology. Issue 66. Art. 193. pp. 1092-1095. Paris,
FR. 2012. ISSN: 2010-376X.
[2] EnArgus: Central information system for energy research funding.
http://www.enargus.de/
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[5] Uwe Meixner. „Einführung in die Ontologie“. Wissenschaftl. Buchges.
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[6] Protégé-OWL API: www.protege.stanford.edu/plugins/owl/api/
[7] EnArgus: www.enargus.de/pubilc; www.enargus.de/master