论文信息 - Associative Database for Information Retrieval

Associative Database for Information Retrieval

An associative database model (AIR) is defined, using Artificial Neural Networks (ANN), based on Interaction Information Retrieval (IR). Retrieval is preceded by an interaction between query and database, and means recalled local memories. It is shown that AIR’s underlying abstract mathematical structure is a matroid and that AIR is in the NP-Class. An implementable model is worked out based on state equations, and an application is briefly described.

Sándor Dominich

[1] Geoffrey Z. Liu. Semantic Vector Space Model: Implementation and Evaluation , 1997, J. Am. Soc. Inf. Sci..

[2] Gerard Salton,et al. Automatic Text Structuring and Summarization , 1997, Inf. Process. Manag..

[3] Sándor Dominich. Interaction Information Retrieval , 1994, J. Documentation.

[4] Claudia Pearce,et al. TELLTALE: Experiments in a Dynamic Hypertext Environment for Degraded and Multilingual Data , 1996, J. Am. Soc. Inf. Sci..

[5] H. Kang,et al. Two-Level Document Ranking Using Mutual Information in Natural Language Information Retrieval , 1997, Inf. Process. Manag..

[6] Xia Lin. Map displays for information retrieval , 1997 .

[7] V. Rao Vemuri,et al. Information filtering via hill climbing, wordnet, and index patterns , 1997, Inf. Process. Manag..

[8] Charles Nicholas,et al. TELLTALE: experiments in a dynamic hypertext environment for degraded and multilingual data , 1996 .

[9] Gerard Salton,et al. Automatic Text Decomposition and Structuring , 1994, Inf. Process. Manag..

[10] Jack Belzer,et al. Encyclopedia of Computer Science and Technology , 2002 .

[11] Xia Lin,et al. Map Displays for Information Retrieval , 1997, J. Am. Soc. Inf. Sci..

[12] Carolyn Watters,et al. Automatic association of news items , 1997, Inf. Process. Manag..