Journal of the American Society for Information Science
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Automatic query wefinement using lexical affinities with maximal information gain
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Exploiting hierarchical domain structure to compute similarity
ACM Transactions on Information Systems (TOIS)
Concept Data Analysis: Theory and Applications
Concept Data Analysis: Theory and Applications
K2/Kleisli and GUS: experiments in integrated access to genomic data sources
IBM Systems Journal - Deep computing for the life sciences
Transparent access to multiple bioinformatics information sources
IBM Systems Journal - Deep computing for the life sciences
Extending Attribute Dependencies for Lattice-Based Querying and Navigation
ICCS '08 Proceedings of the 16th international conference on Conceptual Structures: Knowledge Visualization and Reasoning
Semantic and Conceptual Context-Aware Information Retrieval
Advanced Internet Based Systems and Applications
Many-Valued Concept Lattices for Conceptual Clustering and Information Retrieval
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
First elements on knowledge discovery guided by domain knowledge (KDDK)
CLA'06 Proceedings of the 4th international conference on Concept lattices and their applications
Using Domain Knowledge to Guide Lattice-based Complex Data Exploration
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
BioRegistry: a structured metadata repository for bioinformatic databases
CompLife'05 Proceedings of the First international conference on Computational Life Sciences
Text adaptation using formal concept analysis
ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development
Text mining scientific papers: a survey on FCA-Based information retrieval research
ICDM'12 Proceedings of the 12th Industrial conference on Advances in Data Mining: applications and theoretical aspects
| Hi-index | 0.00 |
Bioinformatic data sources available on the web are multiple and heterogenous. The lack of documentation and the difficulty of interaction with these data banks require users competence in both informatics and biological fields for an optimal use of sources contents that remain rather under exploited. In this paper we present an approach based on formal concept analysis to classify and search relevant bioinformatic data sources for a given user query. It consists in building the concept lattice from the binary relation between bioinformatic data sources and their associated metadata. The concept built from a given user query is then merged into the concept lattice. The result is given by the extraction of the set of sources belonging to the extents of the query concept subsumers in the resulting concept lattice. The sources ranking is given by the concept specificity order in the concept lattice. An improvement of the approach consists in automatic refinement of the query thanks to domain ontologies. Two forms of refinement are possible by generalisation and by specialisation.