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- 500 hasAuthorList authorList.
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- 500 title "Finding Experts Using Wikipedia".
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- item-1 hasContent gianluca-demartini.
- 507 creator milen-pavlov.
- 507 creator ryutaro-ichise.
- 507 type InProceedings.
- 507 label "Finding Experts by Link Prediction in Co-authorship Networks".
- 507 sameAs 507.
- 507 abstract "Research collaborations are always encouraged, as they often yield good results. However, the researcher network contains massive amounts of experts in various disciplines and it is difficult for the individual researcher to decide which experts will match his own expertise best. As a result, collaboration outcomes are often uncertain and research teams are poorly organized. We propose a method for building link predictors in networks, where nodes can represent researchers and links - collaborations. In this case, predictors might offer good suggestions for future collaborations. We test our method on a researcher co-authorship network and obtain link predictors of encouraging accuracy. This leads us to believe our method could be useful in building and maintaining strong research teams. It could also help with choosing vocabulary for expert description, since link predictors contain implicit information about which structural attributes of the network are important with respect to the link prediction problem.".
- 507 hasAuthorList authorList.
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- 507 title "Finding Experts by Link Prediction in Co-authorship Networks".
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- item-1 hasContent milen-pavlov.
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- 515 creator hanmin-jung.
- 515 type InProceedings.
- 515 label "Finding Topic-centric Identified Experts based on Full Text Analysis".
- 515 sameAs 515.
- 515 abstract "This paper shows a method for finding topic-centric experts from open access metadata and full text documents. Topic-centric information including experts is served on OntoFrame, which is a Semantic Web-based academic research information service supporting R&D activities. URI scheme-based OntoFrame provides three entity pages: topic, person, and event. ‘Persons by Topic’ in topic page lists up topic-centric identified experts. SPARQL query is used to re-trieve them from RDF triple store through backward chaining. We gathered CiteSeer open access metadata and full text documents with the amount of about 110,000 papers. Using about 160,000 abundant topics, OntoFrame now serves topic-centric identified experts and relevant information acquired by full text analysis.".
- 515 hasAuthorList authorList.
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- 515 title "Finding Topic-centric Identified Experts based on Full Text Analysis".
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- item-1 hasContent hanmin-jung.
- 501 creator eero-hyvoenen.
- 501 creator eetu-maekelae.
- 501 creator jouni-tuominen.
- 501 creator jussi-kurki.
- 501 creator kim-viljanen.
- 501 creator olli-alm.
- 501 creator onni-valkeapaeae.
- 501 creator osma-suominen.
- 501 creator reetta-sinkkilae.
- 501 creator robin-lindroos.
- 501 creator teppo-kaensaelae.
- 501 creator tomi-kauppinen.
- 501 creator tuukka-ruotsalo.
- 501 type InProceedings.
- 501 label "Enabling the Semantic Web with Ready-to-Use Web Widgets".
- 501 sameAs 501.
- 501 abstract "A lot of functionality is needed when an application, such as a museum cataloguing system, is extended with semantic capabilities, for example ontological indexing functionality or multi-facet search. To avoid duplicate work and to enable easy and cost-efficient integration of information systems with the Semantic Web, we propose a web widget approach. Here, data sources are combined with functionality into ready-to-use software components that allow adding semantic functionality to systems with just a few lines of code. As a proof of the concept, we present a collection of general semantic web widgets and case applications that use them, such as the ontology server ONKI, the annotation editor SAHA and the culture portal CultureSampo.".
- 501 hasAuthorList authorList.
- 501 isPartOf proceedings.
- 501 title "Enabling the Semantic Web with Ready-to-Use Web Widgets".
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- item-1 hasContent eetu-maekelae.
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