Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
About retrieval models and logic
The Computer Journal - Special issue on information retrieval
A model of information retrieval based on a terminological logic
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Fast evaluation of structured queries for information retrieval
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
(invited paper) A new theoretical framework for information retrieval
Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Sound and Complete Forward and backward Chainingd of Graph Rules
ICCS '96 Proceedings of the 4th International Conference on Conceptual Structures: Knowledge Representation as Interlingua
ICCS '96 Proceedings of the 4th International Conference on Conceptual Structures: Knowledge Representation as Interlingua
Conceptual Structures and Structured Documents
ICCS '96 Proceedings of the 4th International Conference on Conceptual Structures: Knowledge Representation as Interlingua
An Experiment in Document Retrieval Using Conceptual Graphs
ICCS '97 Proceedings of the Fifth International Conference on Conceptual Structures: Fulfilling Peirce's Dream
KDEX '97 Proceedings of the 1997 IEEE Knowledge and Data Engineering Exchange Workshop
PRIME-GC. A medical information retrieval prototype on the Web
RIDE '97 Proceedings of the 7th International Workshop on Research Issues in Data Engineering (RIDE '97) High Performance Database Management for Large-Scale Applications
A Promising Retrieval Algorithm for Systems Based on the Conceptual Graphs Formalism
IDEAS '98 Proceedings of the 1998 International Symposium on Database Engineering & Applications
A logical relational approach for information retrieval indexing
IRSG'97 Proceedings of the 19th Annual BCS-IRSG conference on Information Retrieval Research
RELIEF: combining expressiveness and rapidity into a single system
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
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In a recent paper (see Ounis & Huibers's work), a logical relational framework for information retrieval is presented, which emphasizes the importance of relations for accurate indexing, as well as the need to provide relation treatments for effective retrieval. Most knowledge representation formalisms support relational indexing. However, the majority of them do not fully allow relation treatment. Conceptual graphs, though offering the richness needed to use relations in the indexing of complex and highly structured documents, do not provide further relation-based processing. In this paper, we follow the above relational framework in the case of conceptual graphs, such that we can take into account relation properties in the retrieval process. The approach leads to a sound extension which preserves the semantics of this formalism. In its implementation, an important goal was to obtain a workable system. Experimental results prove not only improvement in retrieval effectiveness, but also good execution time.