9. SIGIR 1986: Pisa, Italy

@proceedings{DBLP:conf/sigir/86,
  title     = {SIGIR'86, Proceedings of the 9th Annual International ACM SIGIR
               Conference on Research and Development in Information Retrieval,
                Pisa, Italy, September 8-10, 1986},
  publisher = {ACM},
  year      = {1986},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Keynote Speech

• Gerard Salton:
  Recent Trends in Automatic Information Retrieval. 1-10
  
• Nicholas J. Belkin, Barbara H. Kwasnik:
  Using Structural Representations of Anomalous States of Knowledge for Choosing Document Retrieval Strategies. 11-22
  

Office Systems

• Simon J. Gibbs, Dennis Tsichritzis:
  Document Presentation and Query Formulation in Muse. 23-30
  
• S. Gallelli, C. Iacobelli, P. Marchisio:
  An Approach to Multimedia Information Management. 31-38
  
• Till W. Truckenmüller, M. Rathgeb:
  Methodological Issues for the Design of an Office Information Server - Focal Topics for the Analysis from an Office System Perspective. 39-48
  

User Interfaces

• Tamas E. Doszkocs:
  IR, NLP, AI and UFOS: Or IR-Relevance, Natural Language Problems, Artful Intelligence and User-Friendly Online Systems. 49-57
  
• Donald B. Crouch:
  The Visual Display of Information in an Information Retrieval Environment. 58-67
  
• Peter Ingwersen, Irene Wormell:
  Improved Subject Access, Browsing and Scanning Mechanisms in Modern Online IR. 68-76
  

Storage Structures

• Uwe Deppisch:
  S-Tree: A Dynamic Balanced Signature Index for Office Retrieval. 77-87
  
• Yaacov Choueka, Aviezri S. Fraenkel, Shmuel T. Klein, E. Segal:
  Improved Hierarchical Bit-Vector Compression in Document Retrieval Systems. 88-96
  
• Jukka Teuhola, Timo Raita:
  Text Compression Using Prediction. 97-102
  

Linguistic Retrieval

• Alan F. Smeaton:
  Incorporating Syntactic Information into a Document Retrieval Strategy: An Investigation. 103-113
  
• Patrick Bosc, Michèle Courant, Sophie Robin:
  CALIN - A User Interface Based on a Simple Natural Language. 114-122
  
• Catherine Berrut, Patrick Palmer:
  Solving Grammatical Ambiguities within a Surface Syntactical Parser for Automatic Indexing. 123-130
  

Information Retrieval Systems

• Patrick Martin, Ian A. Macleod, Brent Nordin:
  A Design of a Distributed Full Text Retrieval System. 131-137
  
• Gregor Thurmair:
  A Common Architecture for Different Text Processing Techniques in an Information Retrieval Environment. 138-143
  
• M. Kathryn Di Benigno, George R. Cross, Cary deBessonet:
  COREL - A Conceptual Retrieval System. 144-148
  

Clustering

• Abdelmoula El-Hamdouchi, Peter Willett:
  Hierarchic Document Clustering Using Ward's Method. 149-156
  
• Jitender S. Deogun, Vijay V. Raghavan:
  User-Oriented Document Clustering: A Framework for Learning in Information Retrieval. 157-163
  
• Ellen M. Voorhees:
  The Efficiency of Inverted Index and Cluster Searches. 164-174
  

Retrieval Strategies

• S. K. Michael Wong, Wojciech Ziarko, Vijay V. Raghavan, P. C. N. Wong:
  On Extending the Vector Space Model for Boolean Query Processing. 175-185
  
• Donna Harman:
  An Experimental Study of Factors Important in Document Ranking. 186-193
  

Knowledge Based Information Retrieval (I)

• C. J. van Rijsbergen:
  A New Theoretical Framework for Information Retrieval. 194-200
  
• W. Bruce Croft:
  User-Specified Domain Knowledge for Document Retrieval. 201-206
  

Knowledge Based Information Retrieval (II)

• Yves Chiaramella, Bruno Defude, Marie-France Bruandet, D. Kerkouba:
  IOTA: A Full Text Information Retrieval System. 207-213
  
• Dario De Jaco, Gianluca Garbolino:
  An Information Retrieval System Based on Artificial Intelligence Techniques. 214-220
  
• Gian Piero Zarri:
  The Use of Inference Mechanisms to Improve the Retrieval Facilities from Large Relational Databases. 221-227
  

Learning Systems

• S. K. Michael Wong, Wojciech Ziarko:
  A Machine Learning Approach to Information Retrieval. 228-233
  
• Esen A. Ozkarahan, Fazli Can:
  An Automatic and Tunable Document Indexing System. 234-243
  
• Abraham Bookstein:
  Performance of Self-Taught Documents: Exploiting Co-Relevance Structure in a Document Collection. 244-248
  

Probabilistic Retrieval

• Norbert Fuhr:
  Two Models of Retrieval with Probabilistic Indexing. 249-257
  
• Robert M. Losee, Abraham Bookstein, Clement T. Yu:
  Probabilistic Models for Document Retrieval: A Comparison of Performance on Experimental and Synthetic Databases. 258-264
  
• Clement T. Yu, T. C. Lee:
  Non-Binary Independence Model. 265-268
  
• Paul B. Kantor, Jung Jin Lee:
  The Maximum Entropy Principle in Information Retrieval. 269-274
  
• K. L. Kwok:
  An Interpretation of Index Term Weighting Schemes Based on Document Components. 275-283