Generating Metadata for Cyberlearning Resources Through Information Retrieval and Meta-Search
Identifieur interne : 000447 ( Main/Exploration ); précédent : 000446; suivant : 000448Generating Metadata for Cyberlearning Resources Through Information Retrieval and Meta-Search
Auteurs : XIAOZHONG LIU [États-Unis]Source :
- Journal of the American Society for Information Science and Technology : (Print) [ 1532-2882 ] ; 2013.
Descripteurs français
- Pascal (Inist)
English descriptors
Abstract
The goal of this study was to propose novel cyberlearning resource-based scientific referential metadata for an assortment of publications and scientific topics, in order to enhance the learning experiences of students and scholars in a cyberinfrastructure-enabled learning environment. By using information retrieval and meta-search approaches, different types of referential metadata, such as related Wikipedia pages, data sets, source code, video lectures, presentation slides, and (online) tutorials for scientific publications and scientific topics will be automatically retrieved, associated, and ranked. In order to test our method of automatic cyberlearning referential metadata generation, we designed a user experiment to validate the quality of the metadata for each scientific keyword and publication and resource-ranking algorithm. Evaluation results show that the cyberlearning referential metadata retrieved via meta-search and statistical relevance ranking can help students better understand the essence of scientific keywords and publications.
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream PascalFrancis, to step Corpus: 000014
- to stream PascalFrancis, to step Corpus: 000020
- to stream PascalFrancis, to step Curation: 000225
- to stream PascalFrancis, to step Checkpoint: 000011
- to stream Main, to step Merge: 000448
- to stream Main, to step Curation: 000447
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" level="a">Generating Metadata for Cyberlearning Resources Through Information Retrieval and Meta-Search</title>
<author><name sortKey="Xiaozhong Liu" sort="Xiaozhong Liu" uniqKey="Xiaozhong Liu" last="Xiaozhong Liu">XIAOZHONG LIU</name>
<affiliation wicri:level="2"><inist:fA14 i1="01"><s1>School of Library and Information Science, Indiana University, 1320 East 10th Street, LI 011 Bloomington</s1>
<s2>IN 47405-3907</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
<placeName><region type="state">Indiana</region>
</placeName>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">INIST</idno>
<idno type="inist">13-0145920</idno>
<date when="2013">2013</date>
<idno type="stanalyst">PASCAL 13-0145920 INIST</idno>
<idno type="RBID">Pascal:13-0145920</idno>
<idno type="wicri:Area/PascalFrancis/Corpus">000014</idno>
<idno type="stanalyst">FRANCIS 13-0145920 INIST</idno>
<idno type="wicri:Area/PascalFrancis/Corpus">000020</idno>
<idno type="wicri:Area/PascalFrancis/Curation">000225</idno>
<idno type="wicri:Area/PascalFrancis/Checkpoint">000011</idno>
<idno type="wicri:doubleKey">1532-2882:2013:Xiaozhong Liu:generating:metadata:for</idno>
<idno type="wicri:Area/Main/Merge">000448</idno>
<idno type="wicri:Area/Main/Curation">000447</idno>
<idno type="wicri:Area/Main/Exploration">000447</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Generating Metadata for Cyberlearning Resources Through Information Retrieval and Meta-Search</title>
<author><name sortKey="Xiaozhong Liu" sort="Xiaozhong Liu" uniqKey="Xiaozhong Liu" last="Xiaozhong Liu">XIAOZHONG LIU</name>
<affiliation wicri:level="2"><inist:fA14 i1="01"><s1>School of Library and Information Science, Indiana University, 1320 East 10th Street, LI 011 Bloomington</s1>
<s2>IN 47405-3907</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
<placeName><region type="state">Indiana</region>
</placeName>
</affiliation>
</author>
</analytic>
<series><title level="j" type="main">Journal of the American Society for Information Science and Technology : (Print)</title>
<title level="j" type="abbreviated">J. Am. Soc. Inf. Sci. Technol. : (Print)</title>
<idno type="ISSN">1532-2882</idno>
<imprint><date when="2013">2013</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt><title level="j" type="main">Journal of the American Society for Information Science and Technology : (Print)</title>
<title level="j" type="abbreviated">J. Am. Soc. Inf. Sci. Technol. : (Print)</title>
<idno type="ISSN">1532-2882</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Algorithm</term>
<term>Filing</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Classement</term>
<term>Algorithme</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">The goal of this study was to propose novel cyberlearning resource-based scientific referential metadata for an assortment of publications and scientific topics, in order to enhance the learning experiences of students and scholars in a cyberinfrastructure-enabled learning environment. By using information retrieval and meta-search approaches, different types of referential metadata, such as related Wikipedia pages, data sets, source code, video lectures, presentation slides, and (online) tutorials for scientific publications and scientific topics will be automatically retrieved, associated, and ranked. In order to test our method of automatic cyberlearning referential metadata generation, we designed a user experiment to validate the quality of the metadata for each scientific keyword and publication and resource-ranking algorithm. Evaluation results show that the cyberlearning referential metadata retrieved via meta-search and statistical relevance ranking can help students better understand the essence of scientific keywords and publications.</div>
</front>
</TEI>
<affiliations><list><country><li>États-Unis</li>
</country>
<region><li>Indiana</li>
</region>
</list>
<tree><country name="États-Unis"><region name="Indiana"><name sortKey="Xiaozhong Liu" sort="Xiaozhong Liu" uniqKey="Xiaozhong Liu" last="Xiaozhong Liu">XIAOZHONG LIU</name>
</region>
</country>
</tree>
</affiliations>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/CyberinfraV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000447 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000447 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Ticri/CIDE |area= CyberinfraV1 |flux= Main |étape= Exploration |type= RBID |clé= Pascal:13-0145920 |texte= Generating Metadata for Cyberlearning Resources Through Information Retrieval and Meta-Search }}
This area was generated with Dilib version V0.6.25. |