Searching Web Documents Using a Fuzzy-Based Method

Authors

  • Enrico Fischetti Dipartimento di Ingegneria Informatica (DIEM) University of Salerno Italy http://orcid.org/0000-0001-6963-9900
  • Aniello Nappi MANUCOR spa

DOI:

https://doi.org/10.24203/ajfam.v5i2.4488

Keywords:

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

Abstract

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

Researcher

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Published

2017-04-22

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). https://doi.org/10.24203/ajfam.v5i2.4488

Issue

Vol. 5 No. 2 (2017): April 2017

Section

Articles

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