Linked CFPs : Enriching Call for Papers as Linked Data
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Christophe Guéret's profile on Mendeley.
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Linked CFPs : Enriching Call for Papers as Linked Data
Linked CFPs: Enriching Call for Papers as Linked Data
http://qrate.me/184
Christophe Guéret, Paul Groth, Thomas Brox Røst, Amund Tveit
Calls for papers (CFPs) are a part the life of every scientist. Eventseer.net aggregates and organize over 16,000 CFPs. A Linked Data view of Eventseer.net allows for the easy reuse of this data in other applications. For example, people associated with an event are uniquely idenfied by URIs. Thus, making it easier to track how people participate in scientific events.
http://eventseer.net http://linkeddata.few.vu.nl/eventseer
Information re-usability
Raw, unstructured
CFP texts CFPs indexed by People,Topics and Institutions
“5-stars” Linked Data
Addition of structure through a combination of information
extraction techniques, ranging from keyword matching
(people, topics) to partial parsing with semantic grammars
(locations, deadlines). Data from various open sources is
used to supplement the information extraction.
●Resource matching with other datasets
●Tracking of provenance
“Linked Data” refers to best practicies fro publishing and interlinking structured data on Web. Linked Data allows for providing links between data items found in different datasets served by different sources.
http://qrate.me/184
Christophe Guéret, Paul Groth, Thomas Brox Røst, Amund Tveit
Calls for papers (CFPs) are a part the life of every scientist. Eventseer.net aggregates and organize over 16,000 CFPs. A Linked Data view of Eventseer.net allows for the easy reuse of this data in other applications. For example, people associated with an event are uniquely idenfied by URIs. Thus, making it easier to track how people participate in scientific events.
http://eventseer.net http://linkeddata.few.vu.nl/eventseer
Information re-usability
Raw, unstructured
CFP texts CFPs indexed by People,Topics and Institutions
“5-stars” Linked Data
Addition of structure through a combination of information
extraction techniques, ranging from keyword matching
(people, topics) to partial parsing with semantic grammars
(locations, deadlines). Data from various open sources is
used to supplement the information extraction.
●Resource matching with other datasets
●Tracking of provenance
“Linked Data” refers to best practicies fro publishing and interlinking structured data on Web. Linked Data allows for providing links between data items found in different datasets served by different sources.
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