Web retrieval: Techniques for the aggregation and selection of queries and answers

Nowadays, the information access on the Web is a main problem in the computer science community. Any major advance in the field of information access on the Web requires the collaboration of different methodologies and research areas. In this paper, the concept of aggregation operator playing a role for information access on the Web is analyzed. We present some Web methodologies, as search engines, recommender systems, and Web quality evaluation models and analyze the way aggregation operators help toward the success of their activities. We also show an application of the aggregation operators in digital libraries. In particular, we introduce a Web information system to analyze the quality of digital libraries that implements an important panel of aggregation operators to obtain the quality assessments. © 2008 Wiley Periodicals, Inc.

[1]  Guijun Wang,et al.  ProFusion*: Intelligent Fusion from Multiple, Distributed Search Engines , 1996, J. Univers. Comput. Sci..

[2]  David Bawden,et al.  Digital libraries: to meet or manage user expectations , 2006, Aslib Proc..

[3]  Pattie Maes,et al.  Agents that reduce work and information overload , 1994, CACM.

[4]  Saeed Rezaei Sharifabadi,et al.  How digital libraries can support e-learning , 2006, Electron. Libr..

[5]  Hendrik Blockeel,et al.  Web mining research: a survey , 2000, SKDD.

[6]  Moni Naor,et al.  Rank aggregation methods for the Web , 2001, WWW '01.

[7]  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..

[8]  Xiaohua Yang,et al.  Rational constraints for fusion methods in metasearch engine systems , 2004 .

[9]  Ronald R. Yager,et al.  On ordered weighted averaging aggregation operators in multicriteria decisionmaking , 1988, IEEE Trans. Syst. Man Cybern..

[10]  Prashant C. Palvia,et al.  Developing and validating an instrument for measuring user-perceived web quality , 2002, Inf. Manag..

[11]  George Lawton LAMP lights enterprise development efforts , 2005, Computer.

[12]  R. Yager Families of OWA operators , 1993 .

[13]  Francisco Herrera,et al.  Some induced ordered weighted averaging operators and their use for solving group decision-making problems based on fuzzy preference relations , 2007, Eur. J. Oper. Res..

[14]  Michael McGill,et al.  Introduction to Modern Information Retrieval , 1983 .

[15]  Penny Garrod,et al.  Benchmarking development needs in the LIS sector , 1997, J. Inf. Sci..

[16]  Peretz Shoval,et al.  Information Filtering: Overview of Issues, Research and Systems , 2001, User Modeling and User-Adapted Interaction.

[17]  Gary Marchionini,et al.  Evaluating Digital Libraries: A Longitudinal and Multifaceted View , 2000, Libr. Trends.

[18]  Wendy T. Lucas,et al.  Form and function: The impact of query term and operator usage on Web search results , 2002, J. Assoc. Inf. Sci. Technol..

[19]  Ian H. Witten,et al.  The bubble of web visibility , 2005, CACM.

[20]  G Stix,et al.  The mice that warred. , 2001, Scientific American.

[21]  Michael Gertz,et al.  Report on the Dagstuhl Seminar , 2004, SGMD.

[22]  MAGDALINI EIRINAKI,et al.  Web mining for web personalization , 2003, TOIT.

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

[24]  Gloria Bordogna,et al.  A model for a SOft Fusion of Information Accesses on the web , 2004, Fuzzy Sets Syst..

[25]  Ronald R. Yager,et al.  A note on weighted queries in information retrieval systems , 1987, J. Am. Soc. Inf. Sci..

[26]  Ronald R. Yager,et al.  Fuzzy logic methods in recommender systems , 2003, Fuzzy Sets Syst..

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

[28]  Gary Marchionini,et al.  The roles of digital libraries in teaching and learning , 1995, CACM.

[29]  Enrique Herrera-Viedma,et al.  Evaluating the information quality of Web sites: A methodology based on fuzzy computing with words , 2006, J. Assoc. Inf. Sci. Technol..

[30]  Oren Etzioni,et al.  Multi-Engine Search and Comparison Using the MetaCrawler , 1995, World Wide Web J..

[31]  Francisco Herrera,et al.  Combining Numerical and Linguistic Information in Group Decision Making , 1998, Inf. Sci..

[32]  U. V. Ramana Some experiments with the performance of LAMP architecture , 2005, The Fifth International Conference on Computer and Information Technology (CIT'05).

[33]  J. Euzenat,et al.  Research challenges and perspectives of the Semantic Web , 2002 .

[34]  Dimitar Filev,et al.  Induced ordered weighted averaging operators , 1999, IEEE Trans. Syst. Man Cybern. Part B.

[35]  Enrique Herrera-Viedma Modeling the retrieval process for an information retrieval system using an ordinal fuzzy linguistic approach , 2001 .

[36]  Giles,et al.  Searching the world wide Web , 1998, Science.

[37]  Luis Martínez-López,et al.  A Consensus Support System Model for Group Decision-Making Problems With Multigranular Linguistic Preference Relations , 2005, IEEE Transactions on Fuzzy Systems.

[38]  Dan Greenstein,et al.  Digital Libraries and Their Challenges , 2000, Libr. Trends.

[39]  Enrique Herrera-Viedma,et al.  Evaluating the informative quality of documents in SGML format from judgements by means of fuzzy linguistic techniques based on computing with words , 2003, Inf. Process. Manag..

[40]  LiLi Li Leveraging quality web‐based library user services in the digital age , 2006 .

[41]  Ronald R. Yager,et al.  On ordered weighted averaging aggregation operators in multicriteria decision-making , 1988 .

[42]  Felix Naumann,et al.  Quality-Driven Query Answering for Integrated Information Systems , 2002, Lecture Notes in Computer Science.

[43]  Jonathan Furner,et al.  On recommending , 2002, J. Assoc. Inf. Sci. Technol..

[44]  Peter Ingwersen,et al.  The calculation of web impact factors , 1998, J. Documentation.

[45]  Lotfi A. Zadeh,et al.  The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .

[46]  C. Lee Giles,et al.  Searching the Web: general and scientific information access , 1999, First IEEE/POPOV Workshop on Internet Technologies and Services. Proceedings (Cat. No.99EX391).

[47]  Gloria Bordogna,et al.  Linguistic aggregation operators of selection criteria in fuzzy information retrieval , 1995, Int. J. Intell. Syst..

[48]  Chris Rusbridge,et al.  Towards the Hybrid Library , 1998, D Lib Mag..

[49]  David M. Pennock,et al.  Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments , 2001, UAI.

[50]  Edward A. Fox,et al.  Digital libraries , 1995, CACM.

[51]  Marco Gori,et al.  A unified probabilistic framework for Web page scoring systems , 2004, IEEE Transactions on Knowledge and Data Engineering.

[52]  Sadaaki Miyamoto,et al.  Information clustering based on fuzzy multisets , 2003, Inf. Process. Manag..

[53]  L. Zadeh A COMPUTATIONAL APPROACH TO FUZZY QUANTIFIERS IN NATURAL LANGUAGES , 1983 .