This paper surveys the use of Spreading Activation techniques onSemantic Networks in
Associative Information Retrieval. The majorSpreading Activation models are presented and …

Webometrics, the quantitative study of Web-related phenomena, emerged from the
realization that methods originally designed for bibliometric analysis of scientific journal …

This volume represents the first complete presentation of the theory and application of
Pathfinder networks. These networks are derived from proximity data, and they have many …

Recommender systems are being widely applied in many application settings to suggest
products, services, and information items to potential consumers. Collaborative filtering, the …

Recent developments in the storage, retrieval, and manipulation of large text files are
described. The text analysis problem is examined, and modern approaches leading to the …

Interested in how an efficient search engine works? Want to know what algorithms are used
to rank resulting documents in response to user requests? The authors answer these and …

The use of inference networks to support document retrieval is introduced. A network-based
retrieval model is described and compared to conventional probabilistic and Boolean …

Currently, techniques for content description and query processing in Information Retrieval
(IR) are based on keywords, and therefore provide limited capabilities to capture the …

Inference Networks for Document Retrieval Page 1 Inference Networks for Document Retrieval
Howard Turtle and W. Bruce Croft Computer and Information Science Department University of …

This paper presents a search architecture that combines classical search techniques with
spread activation techniques applied to a semantic model of a given domain. Given an …