Annotation: from paper books to the digital library
DL '97 Proceedings of the second ACM international conference on Digital libraries
Toward an ecology of hypertext annotation
Proceedings of the ninth ACM conference on Hypertext and hypermedia : links, objects, time and space---structure in hypermedia systems: links, objects, time and space---structure in hypermedia systems
From reading to retrieval: freeform ink annotations as queries
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Information Retrieval and HyperText
Information Retrieval and HyperText
HySpirit - A Probabilistic Inference Engine for Hypermedia Retrieval in Large Databases
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Exploring the relationship between personal and public annotations
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Information retrieval system evaluation: effort, sensitivity, and reliability
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Probabilistic, object-oriented logics for annotation-based retrieval in digital libraries
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
Evaluation of relevance and knowledge augmentation in discussion search
ECDL'06 Proceedings of the 10th European conference on Research and Advanced Technology for Digital Libraries
Annotations as context for searching documents
CoLIS'05 Proceedings of the 5th international conference on Context: conceptions of Library and Information Sciences
Probabilistic, object-oriented logics for annotation-based retrieval in digital libraries
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
DELOS'07 Proceedings of the 1st international conference on Digital libraries: research and development
Modelling probabilistic inference networks and classification in probabilistic datalog
SUM'10 Proceedings of the 4th international conference on Scalable uncertainty management
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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.