Applying aggregation operators for information access systems: An application in digital libraries

International Journal of Intelligent Systems

Volumn 23, Issue 12 SPEC. ISS., 2008, Pages 1235-1250

  Herrera Viedma, Enrique ^a   Gijón, Javier López ^a   Alonso, Sergio ^a   Vílchez, Josefina ^a   García, Concha ^a   Villén, Luis ^a   López Herrera, Antonio Gabriel ^b  

^a UNIVERSITY OF GRANADA   (Spain)

^b UNIVERSITY OF JAÉN   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

AGGLOMERATION; COMPUTER SCIENCE; DIGITAL ARITHMETIC; INFORMATION RETRIEVAL SYSTEMS; INFORMATION SYSTEMS; LIBRARIES; SEARCH ENGINES; WORLD WIDE WEB;

AGGREGATION OPERATORS; INFORMATION ACCESS SYSTEMS; INFORMATION ACCESSES; QUALITY ASSESSMENTS; RECOMMENDER SYSTEMS; RESEARCH AREAS; SCIENCE COMMUNITIES; WEB INFORMATION SYSTEMS; WEB QUALITIES;

DIGITAL LIBRARIES;

EID: 56749180538     PISSN: 08848173     EISSN: 1098111X     Source Type: Journal    
DOI: 10.1002/int.20317     Document Type: Article

References (54)

1. Lawrence S, Giles CL. Searching the World Wide Web. Science 1998;280(5360):98-100.
2. Herrera-Viedma E, Martinez L, Mata F, Chiclana F. A consensus support system model for group decision-making problems with multi-granular linguistic preference relations. IEEE Trans Fuzzy Syst 2005;13:5 644-658.
3. Kosala R, Blocked H. Web mining research: a survey. ACM SIGKDD Explor 2000;2(1): 1-15.
4. Aladwani AM, Palvia PC. Developing and validating an instrument for measuring userperceived web quality. Inf Manage 2002;39:467-476.
5. Herrera-Viedma E, Peis E. Evaluating the informative quality of documents in SGML-format using fuzzy linguistic techniques based on computing with words. Inf Process Manage 2003;39(2): 195-213.
6. Herrera-Viedma E, Peis E, Morales del Castillo JM, Alonso S, Anaya K. A fuzzy linguistic model to evaluate the quality of Web sites that store XML documents. Int J Approx Reason 2007;46:226-253.
7. Gertz M, Ozsu MT, Saake G, Sattler KU. Report on the Dagstuhl Seminar "Data quality on the Web." Sigmod Rec 2004;33(1):127-132.
8. Reisnick P, Varian HR (Eds.). Special issue on recommender systems. Commun ACM 1997;40(3).
9. Maes P. Agents that reduce work and information overload. Communi ACM 1994;37:31-40.
10. Hanani U, Shapira B, Shoval P. Information filtering: overview of issues, research and systems. User Model User-Adapted Interact 2001;11:203-259.
11. Eirinaki M, Vazirginannis M. Web mining for web personalization. ACM Trans Internet Technol 2003;3(1):1-27.
12. Berners-Lee T, Hendler J, Lassila O. The semantic Web. Sci Am 2001;284(5):34-43.
13. Euzenat J. Research challenges and perspectives of the semantic Web. IEEE Intell Syst 2002;17(5):86-88.
14. Arms WY. Digital libraries. Cambridge, MA: MIT Press; 2001.
15. Bawden D, Vilar P. Digital libraries: to meet or manage user expectations. Aslib Proce: New Inf Perspect 2006;58(4):346-354.
16. Greenstein D. Digital libraries and their challenges. Libr Trends 2000;49(2):290-303.
17. Li L. Leveraging quality Web-based library user services in the digital age. Libr Manage 2006;27(6/7):390-400.
18. Rushbridge C. Towards the hybrid library. D-Lib Mag July/August 1998.
19. Salton G, McGill MH. Introduction to modern information retrieval. New York: McGraw-Hill; 1983.
20. Diligenti M, Gori M, Maggine M. A unified probabilistic framework for Web page scoring systems. IEEE Trans Knowl Data Eng 2004;16(1):4-16.
21. Lawrence S, Giles CL. Searching the Web: general and scientific information access. IEEE Commun Mag 1998;January: 116-122.
22. Gori M, Witten I. The bubble of Web visibility. Commun ACM 2005;48(3):115-117.
23. Selberg E, Etzioni O. Multi-servicesearch and comparison using the MetaCrawler. In: Proc of 1995 WWW Conf; 1995.
24. Dwork C, Kumar R, Naor M, Sivakumar D. Rank aggregation methods for the Web. In The 10th WWW Int Conf; 2001. pp 613-622.
25. Bordogna G, Pasi G. A model for a soft fusion of information accesses on the Web. Fuzzy Sets Syst 2004; 148:105-118.
26. Gomez M, Gauch S, Wang G. Profusion: intelligent fusion from multiple distributed search engines. J Univ Comput Sci 1996;289:637-649.
27. Yang X, Zhang M. Rational constraints for fusion methods in metasearch engine systems. Int J Intell Syst 2004;19:177-190.
28. Bordogna G, Pasi G. Linguistic aggreation operators of selection criteria in fuzzy information retrieval. J Intell Inf Syst 1995;10:233-248.
29. Lucas W, Topi H. Form and function: the impact of query term and operator usage on Web search results. J Amer Soc Inf Sci Technol 2002;53(2):95-108.
30. Yager RR. A note on weighted queries in information retrieval systems. J Am Soc Inf Sci 1987;38:23-24.
31. Yager RR. Fuzzy logic methods in recommender systems. Fuzzy Sets Syst 2003; 136:133-149.
32. Popescul A, Ungar LH, Pennock DM, Lawrence S. Probabilistic models for unified collaborative and content-based recommendation in sparse data environments. In: Proc of the 17th Conf on Uncertainty in Artificial Intelligence (UAI), San Francisco, CA; 2001. pp 437-444.
33. Furner J. On recommending. J Am Soc Inf Sci Technol 2002;53(9):747-763.
34. Tyburski G. Get smart about Web site I.Q. [Online], Available at http://searchenginewatch. com/searchday/article.php/2159621. Accessed on December 1, 2004.
35. Naumann F. Quality-driven query answering for integrated information systems. Lectures Notes in Computer Science Vol 2261; 2002.
36. Marchionini G, Maurer H. The roles of digital libraries in teaching and learning, Commun ACM 1995;38(4):67-75.
37. Sharifabadi SR. How digital libraries can support e-learning. The Electron Libr 2006;24-3:389-401.
38. Zadeh L A. The concept of a linguistic variable and its applications to approximate reasoning. Parti. Inf Sci 1975;8:199-249 ; Part II. Inf Sci 1975;8:301-357; Part III. Inf Sci 1975;9:43-80.
39. Lawton G. LAMP lights enterprise development efforts. Computer 2005;38(9): 18-20.
40. Ramana UV, Prabhakar TV. Some experiments with the performance of LAMP architecture. In The 5th Int Conf on Computer and Information Technology; 2005. pp 916-920.
41. Cook C, et al. Developping a National Science Digital Library (NSDL) LibQUAL+ protocol : An E-service for assessing the library of the 21 st century. NSDL Evaluation Workshop; 2003.
42. Marchionini G. Evaluating digital libraries: a longitudinal and multifaceted view. Libr Trends 2000;49(2):304-333.
43. Ingwersen P. The calculation of Web impacts factors. J Doc 1998;54(2):236-243.
44. Herrera-Viedma E. Modeling the retrieval process for an information retrieval system using an ordinal fuzzy linguistic approach. J Am Soc Inf Sci Technol 2001 ;52(6):460-475.
45. Herrera F, Herrera-Viedma E. Aggregation operators for linguistic weighted information. IEEE Trans Syst, Man Cybern A. 1997;27:646-656.
46. Herrera F, Herrera-Viedma E, Verdegay, JL: Direct approach processes in group decision making using linguistic OWA operators. Fuzzy Sets Syst 1996;79:175-190.
47. Yager RR. On ordered weighted averaging aggregation operators in multicriteria decision making. IEEE Trans Syst, Man Cybern 1998;18:183-190.
48. Yager RR: Families of OWA operators. Fuzzy Sets Syst 1993;59:125-148.
49. Yager RR, FilevDP. Induced ordered weighted averaging operators. IEEE Trans Syst, Man Cybern 1999;29:141-150.
50. Chiclana F, Herrera-Viedma E, Herrera F, Alonso S. Some induced ordered weighted averaging operators and their use for solving group decision-making problems based on fuzzy preference relations. Eur J Oper Res 2007;182(1):383-399.
51. Delgado M, Herrera F, Herrera-Viedma E, Martínez L. Combining numerical and linguistic information in group decision making. Inf Sci 1998;107:177-194.
52. Zadeh LA. A computational approach to fuzzy quantifiers in natural languages. Comput Math Appl 1983;9:149-184.
53. Garrod P, Kinnell M. Benchmarking development needs in the LIS sector. J Inf Sci 1997;23(2):111-118.
54. Herrera-Viedma E, Pasi G, Lopez-Herrera AG, Porcel C. Evaluating the information quality of Web sites: a methodology based on fuzzy computing with words. J Am Soc Inf Sci Technol, 2006;57(4):538-549.