Query expansion for medical information retrieval
| Thesis title in Czech: | Rozšiřování dotazů pro vyhledávání medicínských informací |
|---|---|
| Thesis title in English: | Query expansion for medical information retrieval |
| Key words: | vyhledávání medicínských informací, ontologie, tezaurus, rozšiřování dotazů, UMLS |
| English key words: | medical information retrieval, ontology, thesaurus, query expansion, UMLS |
| Academic year of topic announcement: | 2014/2015 |
| Thesis type: | diploma thesis |
| Thesis language: | angličtina |
| Department: | Institute of Formal and Applied Linguistics (32-UFAL) |
| Supervisor: | doc. RNDr. Pavel Pecina, Ph.D. |
| Author: | hidden - assigned and confirmed by the Study Dept. |
| Date of registration: | 09.03.2015 |
| Date of assignment: | 27.03.2015 |
| Confirmed by Study dept. on: | 13.07.2015 |
| Date and time of defence: | 09.09.2015 00:00 |
| Date of electronic submission: | 31.07.2015 |
| Date of submission of printed version: | 31.07.2015 |
| Date of proceeded defence: | 09.09.2015 |
| Opponents: | RNDr. Martin Holub, Ph.D. |
| Guidelines |
| Unified Medical Language System (UMLS) is a set of files and software that brings together many health and biomedical vocabularies and standards to enable interoperability between computer systems. Among the tools that contained in UMLS are metathesaurus and semantic network. Similar terms are grouped into a concept, and one term can have more than one concept when it is ambiguous. Every concept in the metathesaurus is assigned to at least one semantic type in the semantic network. There are previous works that found that using thesaurus or ontology for query expansion can improve precision of the retrieval.
Non-medical experts often used common terms in their queries when looking for health-related information. Medical documents, however, are written using medical terms that are unknown to non-medical-experts. CLEF eHealth Task 2 aims to evaluate the effectiveness of information retrieval systems when searching for health content on the web given this mismatch in terms between queries and documents terms. The aim of this thesis is to evaluate the use of semantic relations between terms for query expansion to the precision of medical information retrieval in this task. |
| References |
| Koopman B, Bruza P, Sitbon L, Lawley M. Towards semantic search and inference in electronic medical records: An approach using concept-based information retrieval. The Australasian Medical Journal. 2012;5(9):482-488. doi:10.4066/AMJ.2012.1362.
Díaz-Galiano MC1, Martín-Valdivia MT, Ureña-López LA. Query expansion with a medical ontology to improve a multimodal information retrieval system. Comput Biol Med. 2009 Apr;39(4):396-403. doi: 10.1016/j.compbiomed.2009.01.012. Le Thi Hoang Diem; Chevallet, J.-P.; Dong Thi Bich Thuy, "Thesaurus-based query and document expansion in conceptual indexing with UMLS: Application in medical information retrieval," Research, Innovation and Vision for the Future, 2007 IEEE International Conference on , vol., no., pp.242,246, 5-9 March 2007 doi: 10.1109/RIVF.2007.369163 |