Recommending biomedical resources: A fuzzy linguistic approach based on semantic web

One of the key issues in dynamic research areas, such as that of biomedical sciences, is the development of tools capable to retrieve and provide users relevant resources from large repositories according to their information needs. In this paper, we present a filtering and recommender system that applies Semantic Web technologies and fuzzy linguistic modeling techniques to provide users valuable information about resources that fit their interests. To carry out the recommendation process, we have defined three software agents (interface, task, and information agents) that are distributed in a five level hierarchical architecture. The system is also capable of to deal with incomplete information to define enriched user profiles and, therefore, soften the problem of cold start. A simple evaluation has been carried out, and the experimental outcomes reveal a reasonable good performance of the system in terms of precision and recall. © 2010 Wiley Periodicals, Inc.

[1]  Sophie Ahrens,et al.  Recommender Systems , 2012 .

[2]  Nicola Guarino,et al.  Formal Ontology and Information Systems , 1998 .

[3]  Jacques Ferber,et al.  Multi-agent systems - an introduction to distributed artificial intelligence , 1999 .

[4]  James A. Hendler,et al.  Agents and the Semantic Web , 2001, IEEE Intell. Syst..

[5]  Cyril W. Cleverdon,et al.  Factors determining the performance of indexing systems , 1966 .

[6]  Deborah L. McGuinness,et al.  OWL Web ontology language overview , 2004 .

[7]  John Riedl,et al.  Analysis of recommendation algorithms for e-commerce , 2000, EC '00.

[8]  Thomas R. Gruber,et al.  Toward principles for the design of ontologies used for knowledge sharing? , 1995, Int. J. Hum. Comput. Stud..

[9]  Rafik A. Aliev,et al.  Multi-agent distributed intelligent system based on fuzzy decision making , 2000, Int. J. Intell. Syst..

[10]  Robin D. Burke,et al.  Hybrid Recommender Systems: Survey and Experiments , 2002, User Modeling and User-Adapted Interaction.

[11]  M. Hosseinpour.  An intelligent fuzzy-based recommendation system for consumer electronic products , 2022 .

[12]  Enrique Herrera-Viedma,et al.  A multi-disciplinar recommender system to advice research resources in University Digital Libraries , 2009, Expert Syst. Appl..

[13]  G. Beged-Dov.  RDF Site Summary (RSS) 1.0 , 2001 .

[14]  Robin Burke,et al.  Knowledge-based recommender systems , 2000 .

[15]  Yong Yu,et al.  Conceptual Graph Matching for Semantic Search , 2002, ICCS.

[16]  Witold Pedrycz,et al.  Semantic Web Content Analysis: A Study in Proximity-Based Collaborative Clustering , 2007, IEEE Transactions on Fuzzy Systems.

[17]  Jonathan Dale,et al.  Adapting agent communication languages for semantic Web service inter-communication , 2005, The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05).

[18]  Enrique Herrera-Viedma,et al.  A recommender system for research resources based on fuzzy linguistic modeling , 2009, Expert Syst. Appl..

[19]  Francisco Herrera,et al.  Linguistic decision analysis: steps for solving decision problems under linguistic information , 2000, Fuzzy Sets Syst..

[20]  Francisco Herrera,et al.  Direct approach processes in group decision making using linguistic OWA operators , 1996, Fuzzy Sets Syst..

[21]  Francisco Herrera,et al.  Aggregation operators for linguistic weighted information , 1997, IEEE Trans. Syst. Man Cybern. Part A.

[22]  Enrique Herrera-Viedma,et al.  A fuzzy linguistic model to evaluate the quality of Web sites that store XML documents , 2007, Int. J. Approx. Reason..

[23]  Francisco Herrera,et al.  A Consensus Model for Group Decision Making With Incomplete Fuzzy Preference Relations , 2007, IEEE Transactions on Fuzzy Systems.

[24]  Peretz Shoval,et al.  Information Filtering: A New Two-Phase Model Using Stereotypic User Profiling , 2004, Journal of Intelligent Information Systems.

[25]  Francisco Herrera,et al.  Group decision making with incomplete fuzzy linguistic preference relations , 2009, Int. J. Intell. Syst..

[26]  E. Herrera‐Viedma,et al.  Evaluating the Informative Quality of Documents in SGML Format Using Fuzzy Linguistic Techniques Based on Computing with Words , 2001 .

[27]  David M. Pennock,et al.  Categories and Subject Descriptors , 2001 .

[28]  Witold Pedrycz,et al.  Web navigation support by means of proximity-driven assistant agents , 2006, J. Assoc. Inf. Sci. Technol..

[29]  Huajun Chen,et al.  The Semantic Web , 2011, Lecture Notes in Computer Science.

[30]  Antoine Isaac,et al.  SKOS Simple Knowledge Organization System Primer , 2009 .

[31]  Enrique Herrera-Viedma,et al.  Managing the consensus in group decision making in an unbalanced fuzzy linguistic context with incomplete information , 2010, Knowl. Based Syst..