E-business service semantic classification and retrieval

Aviv Segev*, Eran Toch

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


In this work we provide an initial analysis of e-husinees service classification and retrieval. We present a process of associating e-business services with ontologies and show how the process can be similarly used for e-business service retrieval. The semantic understanding of business services may provide added value through the creation of new compositions of sendees. We analyze two common methods for text processing, TF/IDF and context analysis. We also compare the use of service description as a means for free text retrieval of categorized WSDL description of web service. Our initial results indicate that context analysis is more useful than TF/IDF and that free textual descriptions can be used for retrieval of categorized WSDL description using similar processes.

Original languageEnglish
Pages (from-to)277-289
Number of pages13
JournalProceedings of the International Conference on Electronic Business (ICEB)
StatePublished - 2007
Externally publishedYes
Event7th International Conference on Electronic Business, ICEB 2007 - Taipei, Taiwan, Province of China
Duration: 2 Dec 20076 Dec 2007


  • Classification
  • E-service
  • Retrieval
  • Semantic


Dive into the research topics of 'E-business service semantic classification and retrieval'. Together they form a unique fingerprint.

Cite this