Linked Data supported Information Retrieval: Unterschied zwischen den Versionen
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|Titel DE=Linked Data supported Information Retrieval | |Titel DE=Linked Data supported Information Retrieval | ||
|Titel EN=Linked Data supported Information Retrieval | |Titel EN=Linked Data supported Information Retrieval | ||
| − | |Beschreibung DE= | + | |Beschreibung DE=The talk brings together the research fields of Information Retrieval and Linked Open Data. It will be shown on specific examples how Information Retrieval tasks might benefit from Linked Open Data. Therefore, approaches and evaluation methods for Linked Data based document annotation are discussed and two models to semantic search by incorporating Linked Data annotations into a generalized vector space model are presented. One model exploits taxonomic relationships among entities in documents and queries, while the other model computes term weights based on semantic relationships within a document. Finally, visualization techniques are introduced with the aim to support explorability and navigation. |
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|Veranstaltungsart=Graduiertenkolloquium | |Veranstaltungsart=Graduiertenkolloquium | ||
|Start=2017/07/21 14:00:00 | |Start=2017/07/21 14:00:00 | ||
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|Raum=1C-04 | |Raum=1C-04 | ||
|Vortragender=Jörg Waitelonis | |Vortragender=Jörg Waitelonis | ||
| + | |PDF=Waitelonis 21-07-2017.pdf | ||
|Forschungsgruppe=Information Service Engineering | |Forschungsgruppe=Information Service Engineering | ||
|In News anzeigen=True | |In News anzeigen=True | ||
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Aktuelle Version vom 12. Juli 2017, 10:00 Uhr
Linked Data supported Information Retrieval
Veranstaltungsart:
Graduiertenkolloquium
The talk brings together the research fields of Information Retrieval and Linked Open Data. It will be shown on specific examples how Information Retrieval tasks might benefit from Linked Open Data. Therefore, approaches and evaluation methods for Linked Data based document annotation are discussed and two models to semantic search by incorporating Linked Data annotations into a generalized vector space model are presented. One model exploits taxonomic relationships among entities in documents and queries, while the other model computes term weights based on semantic relationships within a document. Finally, visualization techniques are introduced with the aim to support explorability and navigation.
(Jörg Waitelonis)
Start: 21. Juli 2017 um 14:00
Ende: 21. Juli 2017 um 15:00
Im Gebäude 05.20, Raum: 1C-04
Veranstaltung vormerken: (iCal)
Veranstalter: Forschungsgruppe(n) Information Service Engineering
Information: Media:Waitelonis 21-07-2017.pdf