OHSUMED: an interactive retrieval evaluation and new large test collection for research
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Information Processing and Management: an International Journal - Special issue on history of information science
Issues in the Design of Medical Ontologies Used for Knowledge Sharing
Journal of Medical Systems
An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources
IEEE Transactions on Knowledge and Data Engineering
Current Status of the Evaluation of Information Retrieval
Journal of Medical Systems
A Multiagent Architecture for Developing Medical Information Retrieval Agents
Journal of Medical Systems
Introducing a Conceptual Information Retrieval (IR) Framework
Journal of Medical Systems
A New Look at Information Retrieval Evaluation: Proposal for Solutions
Journal of Medical Systems
Measures of semantic similarity and relatedness in the biomedical domain
Journal of Biomedical Informatics
An empirical study of tokenization strategies for biomedical information retrieval
Information Retrieval
Biomedical ontology improves biomedical literature clustering performance: a comparison study
International Journal of Bioinformatics Research and Applications
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Meeting medical terminology needs-the ontology-enhanced Medical Concept Mapper
IEEE Transactions on Information Technology in Biomedicine
PsyDis: Towards a diagnosis support system for psychological disorders
Expert Systems with Applications: An International Journal
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There is a huge growth in the volume of published biomedical research in recent years. Many medical search engines are designed and developed to address the over growing information needs of biomedical experts and curators. Significant progress has been made in utilizing the knowledge embedded in medical ontologies and controlled vocabularies to assist these engines. However, the lack of common architecture for utilized ontologies and overall retrieval process, hampers evaluating different search engines and interoperability between them under unified conditions. In this paper, a unified architecture for medical search engines is introduced. Proposed model contains standard schemas declared in semantic web languages for ontologies and documents used by search engines. Unified models for annotation and retrieval processes are other parts of introduced architecture. A sample search engine is also designed and implemented based on the proposed architecture in this paper. The search engine is evaluated using two test collections and results are reported in terms of precision vs. recall and mean average precision for different approaches used by this search engine.