B-BabelNet: Business-Specific Lexical Database for Improving Semantic Analysis of Business Process Models
Abstract: Similarity calculation
between business process models has an important role in managing repository of
business process model. One of its uses is to facilitate the searching process
of models in the repository. Business process similarity is closely related to
semantic string similarity. Semantic string similarity is usually performed by
utilizing a lexical database such as WordNet to find the semantic meaning of
the word. The activity name of the business process uses terms that
specifically related to the business field. However, most of the terms in
business domain are not available in WordNet. This case would decrease the
semantic analysis quality of business process model. Therefore, this study
would try to improve semantic analysis of business process model. We present a new
lexical database called BBabelNet. B-BabelNet is a lexical database built by
using the same method in BabelNet. We attempt to map the Wikipedia page to
WordNet database but only focus on the word related to the domain of business.
Also, to enrich the vocabulary in the business domain, we also use terms in the
businessspecific online dictionary (businessdictionary.com). We utilize this
database to do word sense disambiguation process on business process model
activity’s terms. The result from this study shows that the database can
increase the accuracy of the word sense disambiguation process especially in
particular terms related to the business and industrial domains.
Author: Endang Wahyu Pamungkas,
Riyanarto Sarno, Abdul Munif
Journal Code: jptkomputergg170023
