Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Applying Bayesian networks to information retrieval
Communications of the ACM
A vector space model for automatic indexing
Communications of the ACM
Modern Information Retrieval
The SMART Retrieval System—Experiments in Automatic Document Processing
The SMART Retrieval System—Experiments in Automatic Document Processing
A Vector Space Retrieval Method with Causal Relationship Computation Functions for Event Data
SAINT-W '05 Proceedings of the 2005 Symposium on Applications and the Internet Workshops
ACST'07 Proceedings of the third conference on IASTED International Conference: Advances in Computer Science and Technology
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In this paper, we present causality computation methods and its application of a semantic associative search. We propose two essential methods for causality search, which are a causality computation method with context dependent dynamics and a causality route search method. The causality computation method with context dependent dynamics makes it possible to retrieve documents describing causal events in the context that specifies each situation of occurrent events. The causality route search method realizes to search respectively set of documents related to each generation of causal events from query events. We define three types of vector for each event data, that is, cause vector, effect vector and cause-effect vector that are characterized respectively with cause, effect and “cause and effect” event data. Applying a set of these vectors, our search method makes it possible to retrieve respectively “the document data describing cause events” and “the document data describing effect events” according to the context specified. Also, for realizing a causality route search, we construct query that represent sequential generations of causal events from a query event. Using the query constructed, we can retrieve documents about each generation of causal events. We have implemented a search system for an aerospace engineering field and clarified the effectiveness and the feasibility of our search method by several experiments.