Artificial Intelligence
Approaches to intelligent information retrieval
Information Processing and Management: an International Journal - Artificial Intelligence and Information Retrieval
A prototype of an intelligent system for information retrieval: IOTA
Information Processing and Management: an International Journal - Artificial Intelligence and Information Retrieval
On standard models of fuzzy modal logics
Fuzzy Sets and Systems
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
An outline of a general model for information retrieval systems
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
SIGIR '89 Proceedings of the 12th annual international ACM SIGIR conference on Research and development in information retrieval
SILOL: a simple logical-linguistic document retrieval system
Information Processing and Management: an International Journal - Special issue on natural language processing and information retrieval
Document retrieval: A structural approach
Information Processing and Management: an International Journal
Inference networks for document retrieval
SIGIR '90 Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval
SIGIR '90 Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval
ACM Transactions on Information Systems (TOIS)
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
On modeling information retrieval with probabilistic inference
ACM Transactions on Information Systems (TOIS)
A study of probability kinematics in information retrieval
ACM Transactions on Information Systems (TOIS)
“Is this document relevant?…probably”: a survey of probabilistic models in information retrieval
ACM Computing Surveys (CSUR)
Application of aboutness to functional benchmarking in information retrieval
ACM Transactions on Information Systems (TOIS)
Logic and uncertainty in information retrieval
Lectures on information retrieval
Current Approaches to Handling Imperfect Information in Data and Knowledge Bases
IEEE Transactions on Knowledge and Data Engineering
Logic and Uncertainty in Information Retrieval
ESSIR '00 Proceedings of the Third European Summer-School on Lectures on Information Retrieval-Revised Lectures
A fuzzy approach to classification of text documents
Journal of Computer Science and Technology
A Belief Model of Query Difficulty That Uses Subjective Logic
ICTIR '09 Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Factored models for probabilistic modal logic
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 1
A subjective logic formalisation of the principle of polyrepresentation for information needs
Proceedings of the third symposium on Information interaction in context
A multi-disciplinary approach to interactive information retrieval upon semi-structured data sets
FDIA'09 Proceedings of the Third BCS-IRSG conference on Future Directions in Information Access
Using abductive inference and dynamic indexing to retrieve multimedia SGML documents
MIRO'95 Proceedings of the Final conference on Multimedia Information Retrieval
Dialogue strategies for multimedia retrieval: intertwining abductive reasoning and dialogue planning
MIRO'95 Proceedings of the Final conference on Multimedia Information Retrieval
Abductive retrieval of structured documents
Mathematical and Computer Modelling: An International Journal
Is uncertain logical-matching equivalent to conditional probability?
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
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Semantic-based approaches to Information Retrieval make a query evaluation similar to an inference process based on semantic relations. Semantic-based approaches find out hidden semantic relationships between a document and a query, but quantitative estimation of the correspondence between them is often empiric. On the other hand, probabilistic approaches usually consider only statistical relationships between terms. It is expected that improvement may be brought by integrating these two approaches. This paper demonstrates, using some particular probabilistic models which are strongly related to modal logic, that such an integration is feasible and natural. A new model is developed on the basis of an extended modal logic. It has the advantages of : (1) augmenting a semantic-based approach with a probabilistic measurement, and (2) augmenting a probabilistic approach with finer semantic relations than just statistical ones. It is shown that this model verifies most of the conditions for an absolute probability function.