Zitationsschlüssel:
Frommholz:07
Titel:
Annotation-based Document Retrieval with Probabilistic Logics
Autor(en):
Ingo Frommholz
In:
Zitationsschlüssel:
ECDL:07
Titel:
Research and Advanced Technology for Digital Libraries. Proc. of the 11th European Conference on Digital Libraries (ECDL 2007)
Herausgeber:
Norbert Fuhr
Laszlo Kovacs
Carlo Meghini
Verlag:
Springer
In:
Research and Advanced Technology for Digital Libraries. Proc. of the 11th European Conference on Digital Libraries (ECDL 2007)
Jahr:
2007

BibTeX-Eintrag

Seite(n):
321--332

Zusammenfassung:
Annotations are an important part in today's digital libraries and Web information systems as an instrument for interactive knowledge creation. Annotation-based document retrieval aims at exploiting annotations as a rich source of evidence for document search. The POLAR framework supports annotation-based document search by translating POLAR programs into four-valued probabilistic datalog and applying a retrieval strategy called knowledge augmentation, where the content of a document is augmented with the content of its attached annotations. In order to evaluate this approach and POLAR's performance in document search, we set up a test collection based on a snapshot of ZDNet News, containing IT-related articles and attached discussion threads. Our evaluation shows that knowledge augmentation has the potential to increase retrieval effectiveness when applied in a moderate way.

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