Information calculus for information retrieval
Journal of the American Society for Information Science
An interactive system for finding complementary literatures: a stimulus to scientific discovery
Artificial Intelligence - Special issue on scientific discovery
Information flow: the logic of distributed systems
Information flow: the logic of distributed systems
Document language models, query models, and risk minimization for information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Relevance based language models
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Discovering information flow suing high dimensional conceptual space
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Application of aboutness to functional benchmarking in information retrieval
ACM Transactions on Information Systems (TOIS)
Cognitive space and information space
Journal of the American Society for Information Science and Technology
Conceptual Spaces: The Geometry of Thought
Conceptual Spaces: The Geometry of Thought
Inferring query models by computing information flow
Proceedings of the eleventh international conference on Information and knowledge management
Reasoning about categories in conceptual spaces
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
A comparison of various approaches for using probabilistic dependencies in language modeling
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Belief revision for adaptive information retrieval
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Context-sensitive text mining and belief revision for intelligent information retrieval on the web
Web Intelligence and Agent Systems
Query expansion using term relationships in language models for information retrieval
Proceedings of the 14th ACM international conference on Information and knowledge management
Context-sensitive semantic smoothing for the language modeling approach to genomic IR
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Introduction to special issue on reasoning in natural language information processing
ACM Transactions on Asian Language Information Processing (TALIP)
Inferential language models for information retrieval
ACM Transactions on Asian Language Information Processing (TALIP)
A retrospective study of a hybrid document-context based retrieval model
Information Processing and Management: an International Journal
IEEE Transactions on Computers
Towards a belief-revision-based adaptive and context-sensitive information retrieval system
ACM Transactions on Information Systems (TOIS)
Relation discovery from web data for competency management
Web Intelligence and Agent Systems
Extended probabilistic HAL with close temporal association for psychiatric query document retrieval
ACM Transactions on Information Systems (TOIS)
A latent variable model for query expansion using the hidden markov model
Proceedings of the 17th ACM conference on Information and knowledge management
Empirical Software Engineering
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Towards an optimal weighting of context words based on distance
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Using Markov chains to exploit word relationships in information retrieval
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
Query expansion based on pseudo relevance feedback from definition clusters
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
On the (limited) difference between feature and geometric semantic similarity models
GeoS'11 Proceedings of the 4th international conference on GeoSpatial semantics
Interactive sense feedback for difficult queries
Proceedings of the 20th ACM international conference on Information and knowledge management
A correlation analysis on LSA and HAL semantic space models
CIS'04 Proceedings of the First international conference on Computational and Information Science
Information flow analysis with chinese text
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
Text based knowledge discovery with information flow analysis
APWeb'06 Proceedings of the 8th Asia-Pacific Web conference on Frontiers of WWW Research and Development
A context-theoretic framework for compositionality in distributional semantics
Computational Linguistics
Semantic scoring based on small-world phenomenon for feature selection in text mining
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Dynamic pattern mining: an incremental data clustering approach
Journal on Data Semantics II
Context sensitive tag expansion with information inference
DASFAA'12 Proceedings of the 17th international conference on Database Systems for Advanced Applications - Volume Part I
Computational Intelligence
Foundations and Trends in Information Retrieval
Extended information inference model for unsupervised categorization of web short texts
Journal of Information Science
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Humans can make hasty, but generally robust judgements about what a text fragment is, or is not, about. Such judgements are termed information inference. This article furnishes an account of information inference from a psychologistic stance. By drawing on theories from nonclassical logic and applied cognition, an information inference mechanism is proposed that makes inferences via computations of information flow through an approximation of a conceptual space. Within a conceptual space information is represented geometrically. In this article, geometric representations of words are realized as vectors in a high dimensional semantic space, which is automatically constructed from a text corpus. Two approaches were presented for priming vector representations according to context. The first approach uses a concept combination heuristic to adjust the vector representation of a concept in the light of the representation of another concept. The second approach computes a prototypical concept on the basis of exemplar trace texts and moves it in the dimensional space according to the context. Information inference is evaluated by measuring the effectiveness of query models derived by information flow computations. Results show that information flow contributes significantly to query model effectiveness, particularly with respect to precision. Moreover, retrieval effectiveness compares favorably with two probabilistic query models, and another based on semantic association. More generally, this article can be seen as a contribution towards realizing operational systems that mimic text-based human reasoning.