Searching Web Documents Using a Fuzzy-Based Method


  • Enrico Fischetti Dipartimento di Ingegneria Informatica (DIEM) University of Salerno Italy
  • Aniello Nappi MANUCOR spa



Web documents, Search algorithms, Type-2 fuzzy sets, Linguistic variables, User modeling


Web searching could be more fruitful if a user could easily find documents which satisfy his/her needs in terms of structure, format and contents. Herein a solution through a fuzzy linguistic description of the document is proposed, a linguistic variant of standard metadata types. Linguistic expressions are used to qualitatively represent both meta-information and user needs and a matching system is developed to select the most compatible documents with the user profile. The documents retrieved by a web search engine are organized in clusters and ordered in each cluster.

Author Biographies

Enrico Fischetti, Dipartimento di Ingegneria Informatica (DIEM) University of Salerno Italy

Dipartimento di Ingegneria Informatica (DIEM)

Associate professor

Aniello Nappi, MANUCOR spa



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How to Cite

Fischetti, E., & Nappi, A. (2017). Searching Web Documents Using a Fuzzy-Based Method. Asian Journal of Fuzzy and Applied Mathematics, 5(2).