Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Conceptual graphs for semantics and knowledge processing
IBM Journal of Research and Development
Indexing medical reports: The RIME approach
Information Processing and Management: an International Journal - Special issue on natural language processing and information retrieval
Progress in the application of natural language processing to information retrieval tasks
The Computer Journal - Special issue on information retrieval
The application of morpho-syntactic language processing to effective phrase matching
Information Processing and Management: an International Journal
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Knowledge Based Analysis of Radiology Reports Using Conceptual Graphs
Proceedings of the 7th Annual Workshop on Conceptual Structures: Theory and Implementation
Knowledge-based Processing of Medical Language: A Language Engineering Approach
GWAI '92 Proceedings of the 16th German Conference on Artificial Intelligence: Advances in Artificial Intelligence
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The move towards the electronic storage of medical records in Hospital Information Systems (HISs) presents significant challenges for AI retrieval techniques. In this paper, we argue that adequate information retrieval in such systems will have to rely on the exploitation of the conceptual knowledge in those records rather than superficial string searches. However, this course of action is dependent on the developments of natural language processing techniques and on retrieval systems that can exploit semantic/conceptual knowledge. We present a retrieval system, which attempts to realise the second of these developments. This system, called CONIR [developed in the context of the European Community project MENELAS (AIM 2023)] operates in the domain of Patient Discharge Summaries on coronary illness. CONIR uses flexible retrieval techniques, that exploit conceptual context information, over a database of elaborated semantic records. In the course of the paper we outline the sorts of knowledge structures that are required to do this type of retrieval and indicate how they are constructed.