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Resolving power of search keys in MedEval, a Swedish medical test collection with user groups: doctors and patients

Abstract
This thesis describes the making of a Swedish medical text collection, unique in its kind in providing a possibility to choose user group: doctors or patients. The thesis also describes a series of pilot studies which demonstrate what kind of studies can be performed with such a collection. The pilot studies are focused on search key effectivity: What makes a search key good, and what makes a search key bad? The need to bring linguistics and consideration of terminology into the information retrieval research field is demonstrated. Most information retrieval is about finding free text documents. Documents are built of terms, as are topics and search queries. It is important to understand the functions and features of these terms and not treat them like featureless objects. The thesis concludes that terms are not equal, but show very different behavior. The thesis addresses the problem of compounds, which, if used as search keys, will not match corresponding simplex words in the documents, while simplex words as search keys will not match corresponding compounds in the documents. The thesis discusses how compounds can be split to obtain more matches, without lowering the quality of a search. Another important aspect of the thesis is that it considers how different language registers, in this case those of doctors and patients, can be utilized to find documents written with one of the groups in mind. As the test collection contains a large set of documents marked for intended target group, doctors or patients, the language differences can be and are studied. The author comes up with suggestions of how to choose search keys if documents from one category or the other are desired. Information retrieval is a multi-disciplinary research field. It involves computer science, information science, and natural language processing. There is a substantial amount of research behind the algorithms of modern search engines, but even with the best possible search algorithm the result of a search will not be successful without an effective query constructed with effective search keys.
Degree
Doctor of Philosophy
University
Göteborgs universitet. Humanistiska fakulteten
University of Gothenburg. Faculty of Arts
Institution
Department of Swedish ; Institutionen för svenska språket
Disputation
Lördagen den 9 oktober 2010, kl 10.15, Lilla Hörsalen, Humanisten.
Date of defence
2010-10-09
E-mail
karin.friberg@svenska.gu.se
URI
http://hdl.handle.net/2077/22709
Collections
  • Data linguistica
  • Doctoral Theses / Doktorsavhandlingar Institutionen för svenska språket
  • Doctoral Theses from University of Gothenburg / Doktorsavhandlingar från Göteborgs universitet
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Thesis (2.588Mb)
Spikblad (84.61Kb)
Errata (24.62Kb)
Cover (103.8Kb)
Date
2010-09-17
Author
Friberg Heppin, Karin
Keywords
Natural language processing
Information retrieval
Test collection
Swedish
User groups
Medical
Publication type
Doctoral thesis
ISBN
978-91-87850-41-7
ISSN
0347-948X
Series/Report no.
Data Linguistica
22
Language
eng
Metadata
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