Belkin, N. J., et al. (1987). Distributed Expert-Based Information Systems: An Interdisciplinary Approach. Information Processing & Management, 23 (5), 395-409. Belkin, N. J., Borgman, C. L., & Brooks, H. M., et al. (1987). Distributed Expert-Based Information Systems: An Interdisciplinary Approach [MS]. Belkin, N. J., & Kwasnik, B. H. (1986). Using Structural Representations of Anomalous States of Knowledge for Choosing Document Retrieval Strategies. Belkin, N. J., Oddy, R. N., & Brooks, H. M. (1982). ASK for Information Retrieval: Part I. Background and Theory. Journal of Documentation, 38 (2), 61-71. Belkin, N. J., Seeger, T., & Wersig, G. (1983). Distributed Expert Problem Treatment as a Model for Information System Analysis and Design. Journal of Information Science, 5 , 153-167. Bernier, C. L. (1971). Newsletter of Biomedical Terse Conclusions (Vol. s.l.: Charles Bernier,). Bhalla, N. (1991). Object-Oriented Data models: A Perspective and Comparative Review. Journal of Information Science, 17 , 145-160. Biron, P. V., & Kraft, D. H. (1995, 1995). New Methods for Relevance Feedback: Improving Information Retrieval Performance. Paper presented at the ACM Symposium on Applied Computing (Proceedings). Bookstein, A., & Cooper, W. (1976). General Mathematical Model for Information Retrieval Systems. Library Quarterly, 46 (2), 153-167. Brittain, M. (1987). Implications for LIS Education of Recent Developments in Expert Systems. Information Processing & Management, 23 (2), 139-152. Brooks, H. M. (1987). Expert Systems and Intelligent Information Retrieval. Information Processing & Management, 23 (4), 367-382.Brooks, H. M., Daniels, P. J., & Belkin, N. J. (1985, April 16-17, 1985). Problem Descriptions and User Models: Developing an Intelligent Interface for Document Retrieval Systems. Paper presented at the Informatics 8: Advances in Intelligent Retrieval: Proceedings of a Conference Jointly Sponsored by Aslib, the Aslib Informatics Group, and the Information Retrieval Specialist Group of the Biritish Computer Society, Wadham College, Oxford. Cater, S. C., & Kraft, D. H. (1989). Generalization and Clarification of the Waller-Kraft Wish List. Informaiton Processing & Management, 2 (1), 15-25. Cavallaro, U. (1993). HIFI: A Hypertext Interface for Information: Multimedia and Relational Databases. Electronic Library, 11 (2), 65-71. Cawkell, A. E. (1975). Measure of 'Efficiency Factor' -Communication Theory Applied to Document Selection Systems. Information Processing and Management, 11 , 243-248. Checkland, P. (1981). Science and the Systems Movement, Systems Thinking, Systems Practice (pp. 59-98). New York: John Wiley & Sons. Chen, H., & Kim, J. (1993). GANNET: Information Retrieval Using Genetic Algorithms and Neural Nets (Intelligent systems report. ). Tucson, Arizona: University of Arizona. Chen, H., Hsu, P., & Orwig, R., et al. (1992). Automatic Concept Classification of Electronic Meeting Output [MS] (pp. 1-32). Chiaramella, Y., & Defude, B. (1987). Prototype of an Intelligent System for Information Retrieval: IOTA. Information Processing & Management, 23 (4), 285-303. Cohen, P. R., & Kjeldsen, R. (1987). Information Retrieval by Constrained Spreading Activation in Semantic Networks. Information Processing & Management, 23 (4), 255-268. Croft, W. B. (1987). Approaches to Intelligent Information Retrieval. Information Processing & Management, 23 (4), 249-254.Daniels, P. J. (1986). Cognitive Models in Information Retrieval-- An Evaluative Review. Journal of Documentation, 42 , 272-304. Dolby, J. L., & Resnikoff, H. L. (1971). On the Multiplicative Structure of Information Storage and Access Systems. Interface: The Bulletin of the Institute of Management Sciences, 1 (4), 23-30. Doyle, L. B. (1963). Microstatics of Text. Information Storage and Retrieval, 1 , 189-214.Dunlop, M. D., & van Rijbergen, C. J. (1993). Hypermedia and Free Text Retrieval. Information Processing & Management, 29 (3), 287-298. Eastman, C. M. (1989). Handling Incrementally Specified Boolean Queries: A Comparison of Inverted and Signature File Organizations. Information Processing & Management, 25 (1), 27-38. Efthimiadis, E. N. (1996). Query Expansion. Annual Review of Information Science and Technology (ARIST), 31 , 121-186. Ellis, D. (1996). Progress and problems in information Retrieval ( 2nd ed.). London: Library Association.Fox, E. A. (1987). Development of the Coder System: A Testbed for Artificial Intelligence in Information Retrieval. Information Processing & Management, 23 (4), 341-366. Freeman, R. R., & Atherton, P. (1967). File Organization and Search Strategy Using the Universal Decimal Classification in Mechanized Reference Retrieval Systems, Mechanized Information Storage, Retrieval and Dissemination .: North-Holland. Fugmann, R. (1973). On the Role of Subjectivity in Establishing, Using, Operating and Evaluating Informations Retrieval Systems. Treatise II: on Retrieval System Theory. Information Storage and Retrieval, 9 , 353-372. Fuhr, N. (1989). Models for Retrieval with Probabilistic Indexing. Information Processsing & Management, 25 (1), 55-72. Gaizauskas, R., & Yorick, W. (1998). Information Extraction: Beyond Document Retrieval. Journal of Documentation, 54 (1), 70-105. Grant, D. P. (1973). Two Modes of Informations Retrieval: A Compact, Bibliographic Distinction Between the question Answering Systems and Literature Searching Systems . Monticello, IL: Council of Planning Librarians. Hillman, D. J. (1964). Two Models for Retrieval System Design. American Documentation, 15 , 217-225.Ingwersen, P. (1992). Information Retrieval interaction . London: Taylor Graham.Ingwersen, P. (1996). Cognitive Aspects of Information Retrieval Interaction: Elements of a Cognitive IR Theory. Journal of Documentation, 52 (1), 3-50. Ingwersen, P., & Willet, P. (1995). Introduction to Algorithmic and Cognitive Approaches for Information Retrieval. Libri, 45 (3/4), 160-177. Jones, G., Robertson, A. M., & Willett, P. (1994). Introduction to Genetic Algorithms and to Their Use in Information Retrieval. Online & CDROM Review, 18 (1), 3-12. Jones, K. S. (1995). Reflections on TREC. Information Processing & Management, 31 (3), 291-314. Jones, K. S., & Tait, J. I. (1984). Automatic Search Term Variant Generation. Journal of Documentation, 40 , 50-66. Kraft, D. H. (1979). Stopping Rules and Their Effect on Expected Search Length. Information Processing and Management, 15 , 47-58. Lipetz, B.-A. (1966). Information Storage and Retrieval. Scientific American, 215 , 224-245. Maron, M. E., & Kuhns, J. L. (1960). On Relevance, Probalistic Indexing and Information Retrieval. Journal of the Association for Computing Machinery, 7 , 216-244. Martyn, J., & Vickery, B. C. (1970). Complexity of the Modelling of Information Systems. Journal of Documentation, 26 , 204-220.Mostafa, J., Mukhopadhyay, S., & Lam, W., et al. (1997). Multilreview Approcal to Intelligent Information Filtering: Model, System, and Evaluation. ACM Transactions on Information Systems, 15 (4), 368-399. Noerr, P. L., & Bivins Noerr, K. T. (1985). Browse and Navigate: An Advance in Database Access Methods. Information Processing & Management, 21 (3), 205-213. Oddy, R. N. (1977). Information Retrieval through Man-Machine Dialogue. Journal of Documentation, 04 33 (1), 1-14. Ofori-Dwumfuo, G. O. (1982). Reference Retrieval without User Query Formulation. Journal of Information Science, 4 , 105-110. Ofori-Dwumfuo, G. O. (1984). Using a Cognitive Model of Dialogue for Reference Retrieval. Journal of Information Science, 9 (1), 19-28. Paisley, W. (1993, November 1993). Where in the File Is Carmen Sandiego: Development of Homologous Retrieval in Full-Text Databases. Paper presented at the 6th International Conference on New Information Technology, Puerto Rico. Pietilainen, P. (1983). Local Feedback and Intelligent Automatic Query Expansion. Information Processing & Management, 19 (1), 51-58. Preece, S. E. (1980). Online Associative Query Modification Methodology. Online Review, 4 (4), 375-382. Radhakrishnan, T., Grossner, C., & Benoliel, M. (1982). Design of an Interactive Data Retrieval System for Casual Users. Information Processing & Management, 18 (1), 23-32. Richardson, J. J. (1989). Toward an Expert System for Reference Service: A Research Agenda for the 1990s. College & Research Libraries, 50 , 231-248. Robertson, S. E. (1977). Theories and Models in Information Retrieval. Journal of Documentation, 33 , 126-148.Salton, G. (1979). SMART, Encyclopedia of Computer Science and Technology (Vol. 13, pp. 137-172). New York: Marcel Dekker. Salton, G. (1980). Automatic Information Retrieval. Computer , 41-56. Salton, G. (1980). Automatic Term Class Construction Using Relevance -A Summary of Work in Automatic Pseudoclassification. Information Processing and Managment, 16 (+ , 1-15. Salton, G., & Buckley, C. (1988). Term-Weighting Approaches in Automatic Text Retrieval. Information Processing & Managementq, 24 (5), 513-523. Salton, G., & McGill, J. M. (1983). Introduction to modern information Retrieval . New York: McGraw-Hill.Saracevic, T. (1996). Modeling interaction in information Retrieval (IR): A review and proposal. Paper presented at the Proceedings of the 59th Annual Meeting of the American Society for Information Science. Schauble, P. (1989). Improving the Effectiveness of Retrieval Systems by Information Structures. Information Processing & Management, 25 (4), 363-376. Shepherd, M. A., Watters, C. R., & Cai, Y. (1990). Transient Hypergraphs for Citation Networks. Information Processing & Management, 26 (3), 395-412. Shoval, P. (1985). Principles, Procedures and Rules in an Expert System For Information Retrieval. Information Processing & Management, 21 (6), 475-487. Simmons, R. F. (1987). Text Knowledge Base from the AI Handbook. Information Processing & Management, 23 (4), 321-339. Smeaton, A. F. (1991). Prospects for Intelligent, Language-Based Information Retrieval. Online Review, 15 (6), 373-382. Smetacek, V. (1979). Outline of a Possible General Theory of Sign Information. Information Processing and Management, 15 , 173-177. Smith, L. C. (1976). Artificial Intelligence in Information Retrieval Systems. I , 189-222.Smith, L. C. (1983). Machine Intelligence vs. Machine-Aided Intelligence in Information Retrieval: A Historical Perspective. In G. Salton & H.-J. Schneider (Eds.), Research and Development in Information Retrieval (Vol. 146, pp. 263-274). Berlin and New York: Springer-Verlag. Spink, A. (1997). Information Science: A Third Feedback Framework. Journal of the American Society for Information Science, 48 (8), 728-740. Spink, A., & Saracevic, T. (1997). Interaction in Information Retrieval: Selection and Effectiveness of Search Terms. Journal of the American Society for Information Science, 48 (8), 741-761. Swanson, D. R. (1960). Searching Natural Language Text by Computer. Science, 132 , 1099-1104. Syan, C. S., & Menon, U. (1994). Concurrent engineering: Concepts, implementation and practice . London: Chapman & Hall.Tiamyu, M. A., & Ajiferuke, I. Y. (1988). Total Relevance and Document Interaction Effects Model for the Evaluation of Information Retrieval Processes. Information Processing & Management, 24 (4), 391-404.Vickery, A. (1984). Intelligent Interface for Online Interaction. Journal of Information Science, 9 (1), 7-18.Vickery, A., & Brooks, H. (1987). Expert Systems and Their Applications in LIS. Online Review, 11 (3), 149-165. Vickery, A., Brooks, H., & Robinson, B. (1987). Reference and Referral System Using Expert System Techniques. Journal of Documentation, 43 (1), 1-23. Wade, S., & Braekevelt, P. (1995). IR_Framewrok: An Object Oriented Framework for Developing Informaton Retrieval Systems. Program, 29 (1), 15-29. Waller, W. G., & Kraft, D. H. (1979). Mathematical Model of a Weighted Boolean Retrieval System. Information Processing and Management, 15 , 235-245. Wexelblat, A. (1996). Environment for Aiding Information-Browsing Tasks. Paper presented at the AAAI Spring Symposium on Acquisition, Learning & Demonstration: Automating Tasks for Users. Willett, P. (1985). Query-Specific Automatic Document Classification. International Forum on Information and Documentation, 10 (2), 28-32. Willet, P. (1988). Recent Trends in Hierarchic Document Clustering: A Critical Review. Information Processing & Management, 24 (5), 577-597.05 Information Systems--Evaluation; Relevance
Marcia Model (willey Models) Sets 1-34 40
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