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Automated Construction of a Large Semantic Network of Related Terms for Domain-Specific Modeling
Citation key DBLP:conf/caise/AgtK13
Author Henning Agt, Ralf-Detlef Kutsche
Title of Book Advanced Information Systems Engineering, 25th International Conference, CAiSE 2013, Valencia, Spain, June 17-21, 2013
Pages 610-625
Year 2013
ISBN 978-3-642-38708-1
Location Valencia, Spain
Volume 7908
Publisher Springer
Series Lecture Notes in Computer Science (LNCS)
Edition 7908
Abstract In order to support the domain modeling process in model-based software development, we automatically create large networks of semantically related terms from natural language. Using part-of-speech tagging, lexical patterns and co-occurrence analysis, and several semantic improvement algorithms, we construct SemNet, a network of approximately 2.7 million single and multi-word terms and 37 million relations denoting the degree of semantic relatedness. This paper gives a comprehensive description of the construction of SemNet, provides examples of the analysis process and compares it to other knowledge bases. We demonstrate the application of the network within the Eclipse/Ecore modeling tools by adding semantically enhanced class name autocompletion and other semantic support facilities like concept similarity.
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