Conceptual and Spatial Footprints for Complex Systems Analysis: Application to the Semantic Web
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
Contextual search navigation using semantic tag signatures
i-KNOW '11 Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies
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
Distributed formal concept analysis algorithms based on an iterative mapreduce framework
ICFCA'12 Proceedings of the 10th international conference on Formal Concept Analysis
Formal concept analysis approach for data extraction from a limited deep web database
Journal of Intelligent Information Systems
| Hi-index | 0.00 |
This paper presents an information retrieval methodology which uses Formal Concept Analysis in conjunction with semantics to provide contextual answers to users' queries. User formulates a query on a set of heterogeneous data sources. This set is semantically unified by the proposed notion conceptual context. A context can be global: it defines a semantic space the user can query - or instantaneous- it defines the current position of the user in the semantic space. Our methodology consists first in a pre-treatment providing the global conceptual context and then in an online contextual processing of users' requests, associated to an instantaneous context This methodology can be applied to heterogeneous data sources such as web pages, databases, email, personal documents and images, etc. One interest of our approach is to perform a more relevant and refined information retrieval and contextual navigation, closer to the users' expectation.