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H. Agt

Paper on Extracting Semantically Related Terms Accepted at CAiSE 2013 Conference

We are happy to announce that our paper submission
"Automated Construction of a Large Semantic Network of Related Terms for Domain-Specific Modeling" (Henning Agt and Ralf-Detlef Kutsche)
has been accepted for presentation at the 25th International Conference on Advanced Information Systems Engineering (CAiSE 2013) in Valencia, Spain.


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 approx. 2 million single and multi-word
terms and 25 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.