Tailoring health information on the web: The role of knowledge representation and formal vocabularies

2.50
Hdl Handle:
http://hdl.handle.net/10755/160631
Type:
Presentation
Title:
Tailoring health information on the web: The role of knowledge representation and formal vocabularies
Abstract:
Tailoring health information on the web: The role of knowledge representation and formal vocabularies
Conference Sponsor:Midwest Nursing Research Society
Conference Year:2000
Author:Jones, J.
P.I. Institution Name:Univ of Wisconsin - Eau Claire
Title:
Contact Address:105 Garfield Avenue, Eau Claire, WI, 54701, USA
With the increase of health information on the World Wide Web (the Web), successful matching of information to the needs of individuals depends heavily on how well the representation of information resources are matched with the representation of the information requested. Indexing languages for information resources have changed from words to concepts; information retrieval has become far more semantic than syntactic. Knowledge representation strategies and formal language systems can guide nurses in assigning appropriate keywords and terms to health information on the Web so that the information easily can be integrated into the care process. Syntactic approaches use free-text indexing and searches and originate mostly from "natural" languages. The terms entered are matched to words in titles, in abstracts, or in the content of documents. Semantic approaches extend indexing beyond discrete words to less specialized language, and recommend assignment of terms based not only on the context of information use. This paper reports on (1) the indexing of Web pages using nursing knowledge representation strategies and a subset of MeSH terms and (2) the implications of this indexing method on retrieval sensitivity and precision.
Repository Posting Date:
26-Oct-2011
Date of Publication:
17-Oct-2011
Sponsors:
Midwest Nursing Research Society

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titleTailoring health information on the web: The role of knowledge representation and formal vocabulariesen_GB
dc.identifier.urihttp://hdl.handle.net/10755/160631-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Tailoring health information on the web: The role of knowledge representation and formal vocabularies</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Midwest Nursing Research Society</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2000</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Jones, J.</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">Univ of Wisconsin - Eau Claire</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value"> </td></tr><tr class="item-address"><td class="label">Contact Address:</td><td class="value">105 Garfield Avenue, Eau Claire, WI, 54701, USA</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value"> </td></tr><tr><td colspan="2" class="item-abstract">With the increase of health information on the World Wide Web (the Web), successful matching of information to the needs of individuals depends heavily on how well the representation of information resources are matched with the representation of the information requested. Indexing languages for information resources have changed from words to concepts; information retrieval has become far more semantic than syntactic. Knowledge representation strategies and formal language systems can guide nurses in assigning appropriate keywords and terms to health information on the Web so that the information easily can be integrated into the care process. Syntactic approaches use free-text indexing and searches and originate mostly from &quot;natural&quot; languages. The terms entered are matched to words in titles, in abstracts, or in the content of documents. Semantic approaches extend indexing beyond discrete words to less specialized language, and recommend assignment of terms based not only on the context of information use. This paper reports on (1) the indexing of Web pages using nursing knowledge representation strategies and a subset of MeSH terms and (2) the implications of this indexing method on retrieval sensitivity and precision.</td></tr></table>en_GB
dc.date.available2011-10-26T23:07:44Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T23:07:44Z-
dc.description.sponsorshipMidwest Nursing Research Societyen_GB
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