Expanding user's query with tag-neighbors for effective medical information retrieval

F. Durao, Karunakar Bayyapu, Guandong Xu, P. Dolog, Ricardo Gomes Lage

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

4 Citationer (Scopus)

Resumé

Medical information is a natural human demand. Existing search engines on the Web often are unable to handle medical search well because they do not consider its special requirements. Often a medical information searcher is uncertain about his exact questions and unfamiliar with medical terminology. Under-specified queries often lead to undesirable search results that do not contain the information needed. To overcome the limitations of under-specified queries, we utilize tags to enhance information retrieval capabilities by expanding users' original queries with context-relevant information. We compute a set of significant tag neighbor candidates based on the neighbor frequency and weight, and utilize the qualified tag neighbors to expand an entry query. The proposed approach is evaluated by using MedWorm medical article collection and results show considerable precision improvements over state-of-the-art approaches.
OriginalsprogEngelsk
TidsskriftMultimedia Tools and Applications
Vol/bind71
Udgave nummer2
Sider (fra-til)905-929
Antal sider25
ISSN1380-7501
DOI
StatusUdgivet - jul. 2014

Fingerprint

Terminology
Search engines
Information retrieval
World Wide Web

Citer dette

Durao, F. ; Bayyapu, Karunakar ; Xu, Guandong ; Dolog, P. ; Lage, Ricardo Gomes. / Expanding user's query with tag-neighbors for effective medical information retrieval. I: Multimedia Tools and Applications. 2014 ; Bind 71, Nr. 2. s. 905-929.
@article{a8ad8742ae4a437ea3ff180389cb7e08,
title = "Expanding user's query with tag-neighbors for effective medical information retrieval",
abstract = "Medical information is a natural human demand. Existing search engines on the Web often are unable to handle medical search well because they do not consider its special requirements. Often a medical information searcher is uncertain about his exact questions and unfamiliar with medical terminology. Under-specified queries often lead to undesirable search results that do not contain the information needed. To overcome the limitations of under-specified queries, we utilize tags to enhance information retrieval capabilities by expanding users' original queries with context-relevant information. We compute a set of significant tag neighbor candidates based on the neighbor frequency and weight, and utilize the qualified tag neighbors to expand an entry query. The proposed approach is evaluated by using MedWorm medical article collection and results show considerable precision improvements over state-of-the-art approaches.",
author = "F. Durao and Karunakar Bayyapu and Guandong Xu and P. Dolog and Lage, {Ricardo Gomes}",
year = "2014",
month = "7",
doi = "10.1007/s11042-012-1316-5",
language = "English",
volume = "71",
pages = "905--929",
journal = "Multimedia Tools and Applications",
issn = "1380-7501",
publisher = "Springer",
number = "2",

}

Expanding user's query with tag-neighbors for effective medical information retrieval. / Durao, F.; Bayyapu, Karunakar; Xu, Guandong; Dolog, P.; Lage, Ricardo Gomes.

I: Multimedia Tools and Applications, Bind 71, Nr. 2, 07.2014, s. 905-929.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - Expanding user's query with tag-neighbors for effective medical information retrieval

AU - Durao, F.

AU - Bayyapu, Karunakar

AU - Xu, Guandong

AU - Dolog, P.

AU - Lage, Ricardo Gomes

PY - 2014/7

Y1 - 2014/7

N2 - Medical information is a natural human demand. Existing search engines on the Web often are unable to handle medical search well because they do not consider its special requirements. Often a medical information searcher is uncertain about his exact questions and unfamiliar with medical terminology. Under-specified queries often lead to undesirable search results that do not contain the information needed. To overcome the limitations of under-specified queries, we utilize tags to enhance information retrieval capabilities by expanding users' original queries with context-relevant information. We compute a set of significant tag neighbor candidates based on the neighbor frequency and weight, and utilize the qualified tag neighbors to expand an entry query. The proposed approach is evaluated by using MedWorm medical article collection and results show considerable precision improvements over state-of-the-art approaches.

AB - Medical information is a natural human demand. Existing search engines on the Web often are unable to handle medical search well because they do not consider its special requirements. Often a medical information searcher is uncertain about his exact questions and unfamiliar with medical terminology. Under-specified queries often lead to undesirable search results that do not contain the information needed. To overcome the limitations of under-specified queries, we utilize tags to enhance information retrieval capabilities by expanding users' original queries with context-relevant information. We compute a set of significant tag neighbor candidates based on the neighbor frequency and weight, and utilize the qualified tag neighbors to expand an entry query. The proposed approach is evaluated by using MedWorm medical article collection and results show considerable precision improvements over state-of-the-art approaches.

UR - http://www.scopus.com/inward/record.url?scp=84871438600&partnerID=8YFLogxK

U2 - 10.1007/s11042-012-1316-5

DO - 10.1007/s11042-012-1316-5

M3 - Journal article

VL - 71

SP - 905

EP - 929

JO - Multimedia Tools and Applications

JF - Multimedia Tools and Applications

SN - 1380-7501

IS - 2

ER -