Earticle

초록

영어

Service technology has gained increasing popularity in recent communication software applied in many domains. With a growing number of services that share same or similar functionalities, clustering services help improve both service composition and mashup creation. To achieve service clustering, utilizing probabilistic topic model to extract and characterize the service description documents as corresponding topics is an available scheme. However, unlike short text in social networks, the descriptions of published services possess higher dimensionality and sparse functional information. With traditional LDA (Latent Dirichlet Allocation) model to implement topic extraction makes topics unclear. To address that challenge, we conduct a context sensitive approach to generate context sensitive vector for merging the words with similar context before loading to LDA model, referred to as CV-LDA (Context Vector LDA). Through F1-Measure of clustering and topic perplexity analysis in the real-world dataset, it is shown that the proposed approach outperforms traditional LDA model in service clustering.

목차

Abstract
 1. Introduction
 2. Related Work
 3. CV-LDA Based Service Clustering
  3.1. Overview
  3.2. Context Sensitive Word Vectorizations
  3.3. Word Merging
  3.4. Topic-oriented Service Clustering
 4. Experiment
  4.1. Experiment Setup
  4.2. Evaluation Metric
  4.3. Performance
 5. Conclusion and Future Works
 References

키워드

저자

• Lantian Guo [ School of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi, China ]
• Tao Yang [ School of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi, China / State Key Lab for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China ]
• Huixiang Zhang [ School of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi, China ]
• Dejun Mu [ School of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi, China ]
• Zhe Li [ School of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi, China ]
• Yang Li [ School of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605