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All Journal IPTEK Journal of Proceedings Series TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Teknologi Informasi dan Ilmu Komputer Transformasi: Jurnal Pengabdian Masyarakat JOIN (Jurnal Online Informatika) Edu Komputika Journal Jurnal ULTIMATICS bit-Tech Indonesian Journal of Electrical Engineering and Computer Science International Journal of Advances in Data and Information Systems SKANIKA: Sistem Komputer dan Teknik Informatika Jurnal Teknik Informatika (JUTIF) Abdi Teknoyasa Artificial Intelligence Systems and Its Applications (AISA)
Endang Wahyu Pamungkas
Universitas Muhammadiyah Surakarta
Religion Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Environmental Science

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Journal : IPTEK Journal of Proceedings Series

 1 
Performance Improvement of Business Process Similarity Calculation using Word Sense Disambiguation Endang Wahyu Pamungkas; Riyanarto Sarno; Abdul Munif
IPTEK Journal of Proceedings Series No 1 (2015): 1st International Seminar on Science and Technology (ISST) 2015
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (126.237 KB) | DOI: 10.12962/j23546026.y2015i1.1143

Abstract

Similarity calculation between Business Process Models (BPM) has an important role in the process of managing BPM repository. One of its uses is to facilitate the searching process of a model in the repository. Similarity calculation between business processes is closely related with semantic string similarity. Semantic string similarity is usually performed by utilizing a lexical database, such as WordNet, to find the semantic meaning of words. The problem in WordNet is that this lexical database contains terms wich have more than one meaning or polysemous. Selecting the wrong meaning will  decrease the accuracy of similarity calculation process. In this study, we will try to improve the accuracy of similarity calculation of business processes using Word Sense Disambiguation (WSD). The main purpose is to eliminate the ambiguity of polysemous words before calculating the similarity value. WSD is performed by unsupervised methods based on the value of graph connectivity. Then, we used a lexical database that is focused in the business and industry field. The results from this study is able to achieve higher accuracy of the sense selection process for terms especially terms that are related to business and industrial domains. It will also increase the accuracy of similarity value calculation between the business process models.
Co-Authors ABDUL MUNIF Agus Ardiansyah Nh Al Isyadi, Fatah Yasin Aldhyno Yoghatama Diah Priyawati Dian Purworini Divi Galih Prasetyo Putri Divi Galih Prasetyo Putri Fatah Yasin Al Irsyadi Fernandes Sinaga Haryanti, Yanti Hepy Adityarini, Hepy Husni Thamrin Jan Wantoro Lelita Azaria Rahmadiva Maryam Muhammad Fahmi Johan Syah Naidoo, Gedala Mulliah Pratama, Putra Weka Riyanarto Sarno Rona Rizkhy Bunga Chasana Salam, Farah Danisha Saputra, Shafa Bani Setyawan, Sidiq Siti Rochimah Sohail Akhtar Sohail Akhtar Wili Astuti Wiratmoko, Galih Yusuf Sulistyo Nugroho Zebada, Alana Mulya ‘Ammar, Mohammad Faqih Eza