Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Agosti, M., Ferro, N.: Annotations as context for searching documents. In: Crestani, F., Ruthven, I. (eds.) CoLIS 2005. LNCS, vol. 3507, pp. 155–170. Springer, Heidelberg (2005)
Agosti, M., Ferro, N., Frommholz, I., Thiel, U.: Annotations in digital libraries and collaboratories – facets, models and usage. In: Heery, R., Lyon, L. (eds.) ECDL 2004. LNCS, vol. 3232, pp. 244–255. Springer, Heidelberg (2004)
Agosti, M., Smeaton, A.F.: Information Retrieval and Hypertext. Kluwer Academic Publishers, Boston (1996)
Koch, T., Sølvberg, I.T. (eds.): ECDL 2003. LNCS, vol. 2769. Springer, Heidelberg (2003)
Craswell, N., Hawking, D.: Overview of the TREC-2004 web track. In: TREC 2004. The Thirteenth Text Retrieval Conference. NIST (2004)
Frommholz, I., Brocks, H., Thiel, U., Neuhold, E., Iannone, L., Semeraro, G., Berardi, M., Ceci, M.: Document-centered collaboration for scholars in the humanities – the COLLATE system. In: Constantopoulos and Sølvberg [4], pp. 434–445
Frommholz, I., Fuhr, N.: Evaluation of relevance and knowledge augmentation in discussion search. In: Gonzalo, J., Thanos, C., Verdejo, M.F., Carrasco, R.C. (eds.) ECDL 2006. LNCS, vol. 4172, pp. 279–290. Springer, Heidelberg (2006)
Frommholz, I., Fuhr, N.: Probabilistic, object-oriented logics for annotation-based retrieval in digital libraries. In: Nelson, M., Marshall, C., Marchionini, G. (eds.) Proc. JCDL 2006, pp. 55–64. ACM, New York (2006)
Fuhr, N., Rölleke, T.: HySpirit – a probabilistic inference engine for hypermedia retrieval in large databases. In: Schek, H.-J., Saltor, F., Ramos, I., Alonso, G. (eds.) EDBT 1998. LNCS, vol. 1377, pp. 24–38. Springer, Heidelberg (1998)
Golovchinsky, G., Price, M.N., Schilit, B.N.: From reading to retrieval: freeform ink annotations as queries. In: Proceedings of SIGIR 1999, pp. 19–25. ACM, New York (1999)
Marshall, C.C.: Annotation: From paper books to the digital library. In: Proceedings of the ACM Digital Libraries 1997 Conference, pp. 131–140 (July 1997)
Marshall, C.C.: Toward an ecology of hypertext annotation. In: Proceedings of the ninth ACM conference on hypertext and hypermedia, pp. 40–49 (1998)
Marshall, C.C., Brush, A.J.: Exploring the relationship between personal and public annotations. In: Proc. JCDL 2004, pp. 349–357. ACM Press, New York (2004)
Rölleke, T.: POOL: Probabilistic Object-Oriented Logical Representation and Retrieval of Complex Objects. PhD thesis, University of Dortmund, Germany (1998)
Sanderson, M., Zobel, J.: Information retrieval system evaluation: effort, sensitivity and reliability. In: Marchionini, G., Moffat, A., Tait, J. (eds.) Proceedings of SIGIR 2005, ACM, New York (2005)
Voorhees, E.M., Buckland, L.P. (eds.): TREC 2005. The Fourteenth Text REtrieval Conference, Gaithersburg, MD, USA, NIST (2005)
Voorhees, E.M., Buckland, L.P. (eds.): TREC 2006. The Fifteenth Text REtrieval Conference, Gaithersburg, MD, USA, NIST (2006)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Frommholz, I. (2007). Annotation-Based Document Retrieval with Probabilistic Logics. In: Kovács, L., Fuhr, N., Meghini, C. (eds) Research and Advanced Technology for Digital Libraries. ECDL 2007. Lecture Notes in Computer Science, vol 4675. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74851-9_27
Download citation
DOI: https://doi.org/10.1007/978-3-540-74851-9_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74850-2
Online ISBN: 978-3-540-74851-9
eBook Packages: Computer ScienceComputer Science (R0)