Towards data abstraction in networked information retrieval systems

Information Processing and Management

Volumn 35, Issue 2, 1999, Pages 101-119

  Fuhr, Norbert ^a  

^a TU DORTMUND UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER NETWORKS; COMPUTER SYSTEMS PROGRAMMING; DATA REDUCTION; DATA STRUCTURES; DISTRIBUTED DATABASE SYSTEMS; INTEROPERABILITY; QUERY LANGUAGES;

NETWORKED INFORMATION RETRIEVAL SYSTEMS;

INFORMATION RETRIEVAL SYSTEMS;

EID: 0032640933     PISSN: 03064573     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0306-4573(99)00009-6     Document Type: Article

References (33)

1. ANSI (1995). Information retrieval (Z39.50): application service definition and protocol specification (ANSI/NISO Z39.50-1995). Technical report. Bethesda, MD: NISO Press.
2. Barth, A., Breu, M., Endres, A., & de Kemp, A. (1998). Digital libraries in computer science: the MeDoc approach, Lecture Notes in Computer Science, Vol. 1392. Heidelberg: Springer.
3. Batini, C., Lenzerini, M., & Navathe, S. (1986). A comparative analysis of methodologies for database schema integration. ACM Computing Surveys, 18(4), 323-364.
4. Boles, D., Dreger, M., Grojohann, K., Haber, C., Kusserow, A., Lohrum, S., Menke, D., Meyer, J., Miller, G., & Weber, R. (1998). The MeDoc system: a digital publication and reference service for computer science. In: A. Barth, M. Breu, A. Endres, & A. de Kemp, Digital libraries in computer science: the MeDoc approach Lecture Notes in Computer Science, Vol. 1392 (pp. 13-20). Heidelberg: Springer.
5. Brachman, R., & Schmolze, J. (1985). An overview of the KL-ONE knowledge representation system. Cognitive Science, 9(2), 171-216.
6. Callan, J., Lu, Z., & Croft, W. (1995). Searching distributed collections with interference networks. In: E. Fox, P. Ingwersen, & R. Fidel, Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 21-29). New York: ACM.
7. Chang, K. C. -C., Garcia-Molina, H., & Paepeke, A. (1996). Boolean query mapping across heterogeneous information sources. IEEE Transactions on Knowledge and Data Engineering, 8(4), 515-521.
8. Corp, O., Croft, W., & Callan, J. (1995). Integrating IR and RDBMS using cooperative indexing. In: E. Fox, P. Ingwersen, & R. Fidel, Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 84-92). New York: ACM.
9. Fagan, J. (1987). Automatic phrase indexing for document retrieval. In: C. Yu, & C. J. van Rijsbergen, Proceedings of the Tenth Annual ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 91-101).
10. Flickner, M., Sawhney, H., Niblack, W., Ashley, J., Huang, Q., Dom, N., Gorkani, M., Hafner, J., Lee, D., Petkovic, D., Steele, D., & Yanker, P. (1995). Query by image and video content: the QBIC system. Computer, 28(9), 23-32.
11. Frakes, W., & Baeza-Yates, R. (1992). Information retrieval. Data structures and algorithms. Englewood Cliffs: Prentice Hall.
12. Fuhr, N. (1990). A probabilistic framework for vague queries and imprecise information in databases. In: D. McLeod, R. Sacks-Davis, & H. Schek, Proceedings of the 16th International Conference on Very Large Databases (pp. 696-707). Los Altos, CA: Morgan Kaufman.
13. Fuhr, N., & Pejtersen, M. (1992). Integration of probabilistic fact and text retrieval. In: N. Belkin, & P. Ingwersen, Proceedings of the Fifteenth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 211-222). New York: ACM.
14. Fuhr, N. (1995). Probabilistic: Datalog, a logic for powerful retrieval methods. In: E. Fox, P. Ingwersen, & R. Fidel, Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 282-290). New York: ACM.
15. Fuhr, N., Gövert, N., & Rölleke, T. (1998). DOLORES: a system for logic-based retrieval of multimedia objects. In: Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. New York: ACM.
16. Gövert, N. (1996). Information Retrieval in vernetzten heterogenen Datenbanken. In: J. Krause, M. Herfurth, & J. Marx, Herausforderungen an die Informationswirtschaft. Informationsverdichtung, Informationsbewertung und Datenvisualisierung. Proceedings des 5. Internationalen Symposiums für Informationswissenschaft (ISI'96) Schriften zur Informationswissenschaft, vol. 27 (pp. 133-142). Konstanz: Universitätsverlag Konstanz (http://ls6-www.cs.uni-dortmund.de/∼goevert/IS196/).
17. Grossmann, D., Frieder, O., Holmes, D., & Roberts, D. (1997). Integrating structured data and text: a relational approach. Journal of the American Society for Information Science, 48(2), 122-132.
18. Harper, D., & Walker, A. (1992). ECLAIR: an extensible class library for information retrieval. The Computer Journal, 35(3), 256-267.
19. Kahle, B., Morris, H., Goldman, J., Erickson, T., & Curran, J. (1993). Interfaces for distributed systems of information servers. Journal of the American Society for Information Science, 44(8), 453-467.
20. Marcus, R. (1982). User assistance in bibliographic retrieval networks through a computer intermediary. IEEE Transactions on Systems, Man and Cybernetics, 12(2), 116-133.
21. Miller, R., Ioannides, Y., & Ramakrishnan, R. (1993). The use of information capacity in schema integration and translation. In: Proceedings of the 19th Conference on Very Large Databases (pp. 120-133). Los Altos, CA: Morgan Kaufman.
22. Mills, T., Moody, K., & Rodden, K. (1997). Cobra: a new approach to IR system design. In: Proceedings of RIAO'97 (pp. 425-449).
23. Morrissey, J., & van Rijsbergen, C. J. (1987). A formal treatment of missing and imprecise information. In: C. T. Yu, & C. J. van Rijsbergen, Proceedings of the Tenth Annual ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 149-156). New York: ACM.
24. Pfeifer, U., Fuhr, N., & Huynh, T. (1995). Searching structured documents with the enhanced retrieval functionality of freeWAIS-sf and SFgate. In: D. Kroemker, Computer networks and ISDN systems; Proceedings of the 3rd International World-Wide Web Conference (pp. 1027-1036). Amsterdam/Lausanne/New York/Oxford/Shannon/ Tokyo: Elsevier. (http://www.igd.fhg.de/www/www95/papers/47/fwsf/fwsf.html).
25. Pfeifer, U., Poersch, T., & Fuhr, N. (1996). Retrieval effectiveness of proper name search methods. Information Processing and Management, 32(6), 667-679.
26. Rölleke, T., & Fuhr, N. (1997). Information retrieval with probabilistic datalog. In: F. Crestani, M. Lalmas, & C. J. Rijsbergen, Logic and uncertainty in information retrieval. University of Glasgow.
27. Ruge, G., Schwarz, C., & Warner, A. (1991). Effectiveness and efficiency in natural language processing for large amounts of text. Journal of the American Society for Information Science, 42(6), 450-456.
28. Sonnenberger, G., & Frei, H. -P. (1995). Design of a reusable IR framework. In: E. Fox, P. Ingwersen, & R. Fidel, Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 49-57).
29. Tsichritzis, D., & Klug, A. (1978). The ANSI/X3/SPARC DBMS framework report of the study group on database management systems. Information Systems, 3, 173-191.
30. Voorhees, E., Gupta, N., & Johnson-Laird, B. (1995). Learning collection fusion strategies. In: E. Fox, P. Ingwersen, & R. Fidel, Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 172-179).
31. Weibel, S. (1995). Metadata: the foundations of resource description. D-Lib Magazine 2 (July). (http://www.dlib.org/ dlib/July95/07weibel.html).
32. Wold, E., Blum, T., Keislar, D., & Wheaton, J. (1996). Content-based classification, search and retrieval of audio. IEEE MultiMedia, 3(3), 27-36.
33. Wong, S., & Yao, Y. (1995). On modeling information retrieval with probabilistic inference. ACM Transactions on Information Systems, 13(1), 38-68.