Zur Seitenansicht
 

Titelaufnahme

Titel
The SnoopyConcept : leveraging recommendations for knowledge curation / Wolfgang Gassler
VerfasserGassler, Wolfgang
Begutachter / BegutachterinnenSpecht, Günther
ErschienenInnsbruck, August 11, 2017
UmfangXI, 161 Seiten : Illustrationen, Diagramme
HochschulschriftUniversität Innsbruck, Dissertation, 2017
Datum der AbgabeAugust 2017
SpracheEnglisch
DokumenttypDissertation
Schlagwörter (DE)recommender systems / knowledge curation / wikidata / wikipedia / dbpedia
Schlagwörter (EN)recommender systems / knowledge curation / wikidata / wikipedia / dbpedia
URNurn:nbn:at:at-ubi:1-22039 Persistent Identifier (URN)
Zugriffsbeschränkung
 Das Werk ist frei verfügbar
Dateien
The SnoopyConcept [2.5 mb]
Links
Nachweis
Klassifikation
Zusammenfassung (Deutsch)

In recent years, online knowledge curation on the internet has been lifted to a new level-online mass-collaboration. Knowledge bases such as Wikipedia and Wikidata are curated by huge communities and produce a vast amount of knowledge. Therefore, the prevailing challenge is to maintain a homogeneous structure in those knowledge bases to ensure efficient search capabilities, allow automated reasoning, and provide semantically linkable knowledge for the Linked Open Data cloud.

In this thesis we propose the SnoopyConcept which leverages recommender systems to support the user to homogenize knowledge already during the insertion process. The recommendations furthermore aim at increasing the quality and quantity of stored knowledge in collaborative information systems. In addition, we implement the universal SnoopyConcept in several domains and systems to evaluate and assess the recommender system based approach.

Zusammenfassung (Englisch)

In recent years, online knowledge curation on the internet has been lifted to a new level-online mass-collaboration. Knowledge bases such as Wikipedia and Wikidata are curated by huge communities and produce a vast amount of knowledge. Therefore, the prevailing challenge is to maintain a homogeneous structure in those knowledge bases to ensure efficient search capabilities, allow automated reasoning, and provide semantically linkable knowledge for the Linked Open Data cloud.

In this thesis we propose the SnoopyConcept which leverages recommender systems to support the user to homogenize knowledge already during the insertion process. The recommendations furthermore aim at increasing the quality and quantity of stored knowledge in collaborative information systems. In addition, we implement the universal SnoopyConcept in several domains and systems to evaluate and assess the recommender system based approach.

Statistik
Das PDF-Dokument wurde 12 mal heruntergeladen.
Lizenz
CC-BY-SA-Lizenz (4.0)Creative Commons Namensnennung - Weitergabe unter gleichen Bedingungen 4.0 International Lizenz