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
Probabilistic Datalog: implementing logical information retrieval for advanced applications
Journal of the American Society for Information Science
Exploring the relationship between personal and public annotations
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Learning effective ranking functions for newsgroup search
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
COLLATE – A collaboratory supporting research on historic European films
International Journal on Digital Libraries
Probabilistic, object-oriented logics for annotation-based retrieval in digital libraries
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
Annotations as context for searching documents
CoLIS'05 Proceedings of the 5th international conference on Context: conceptions of Library and Information Sciences
Annotation-based document retrieval with probabilistic logics
ECDL'07 Proceedings of the 11th European conference on Research and Advanced Technology for Digital Libraries
| Hi-index | 0.00 |
Annotation-based discussions are an important concept for today’s digital libraries and those of the future, containing additional information to and about the content managed in the digital library. To gain access to this valuable information, discussion search is concerned with retrieving relevant annotations and comments w.r.t. a given query, making it an important means to satisfy users’ information needs. Discussion search methods can make use of a variety of context information given by the structure of discussion threads. In this paper, we present and evaluate discussion search approaches which exploit quotations in different roles as highlight and context quotations, applying two different strategies, knowledge and relevance augmentation. Evaluation shows the suitability of these augmentation strategies for the task at hand; especially knowledge augmentation using both highlight and context quotations boosts retrieval effectiveness w.r.t. the given baseline.