Abstract
This paper describes our work for the participation at the GeoCLEF task of CLEF 2005. We employ multilayered extended semantic networks for the representation of background knowledge, queries, and documents for geographic information retrieval (GIR). In our approach, geographic concepts from the query network are expanded with concepts which are semantically connected via topological, directional, and proximity relations. We started with an existing geographic knowledge base represented as a semantic network and expanded it with concepts automatically extracted from the GEOnet Names Server.
Several experiments for GIR on German documents have been performed: a baseline corresponding to a traditional information retrieval approach; a variant expanding thematic, temporal, and geographic descriptors from the semantic network representation of the query; and an adaptation of a question answering (QA) algorithm based on semantic networks. The second experiment is based on a representation of the natural language description of a topic as a semantic network, which is achieved by a deep linguistic analysis. The semantic network is transformed into an intermediate representation of a database query explicitly representing thematic, temporal, and local restrictions. This experiment showed the best performance with respect to mean average precision: 10.53% using the topic title and description. The third experiment, adapting a QA algorithm, uses a modified version of the QA system InSicht. The system matches deep semantic representations of queries or their equivalent or similar variants to semantic networks for document sentences.
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
Jones, C.B., Purves, R., Ruas, A., Sanderson, M., Sester, M., van Kreveld, M.J., Weibel, R.: Spatial information retrieval and geographical ontologies – an overview of the SPIRIT project. In: SIGIR 2002, pp. 387–388 (2002)
Kunze, C., Wagner, A.: Anwendungsperspektiven des GermaNet, eines lexikalisch-semantischen Netzes für das Deutsche. In: Lemberg, I., Schröder, B., Storrer, A. (eds.) Chancen und Perspektiven computergestützter Lexikographie. Lexicographica Series Maior, vol. 107, pp. 229–246. Niemeyer, Tübingen, Germany (2001)
Hartrumpf, S.: Hybrid Disambiguation in Natural Language Analysis. Der Andere Verlag, Osnabrück (2003)
Helbig, H.: Knowledge Representation and the Semantics of Natural Language. Springer, Berlin (2006)
Leveling, J., Hartrumpf, S.: University of Hagen at CLEF 2004: Indexing and Translating Concepts for the GIRT Task. In: Peters, C., Clough, P., Gonzalo, J., Jones, G.J.F., Kluck, M., Magnini, B. (eds.) CLEF 2004. LNCS, vol. 3491, pp. 271–282. Springer, Heidelberg (2005)
Gey, F., Larson, R., Sanderson, M., Joho, H., Clough, P., Petras, V.: GeoCLEF: The CLEF 2005 Cross-Language Geographic Information Retrieval Track Overview. In: Peters, C., Gey, F.C., Gonzalo, J., Müller, H., Jones, G.J.F., Kluck, M., Magnini, B., de Rijke, M., Giampiccolo, D. (eds.) CLEF 2005. LNCS, vol. 4022, pp. 908–919. Springer, Heidelberg (2006)
Fonseca, F.T., Egenhofer, M.J., Agouris, P., Câmara, G.: Using ontologies for integrated geographic information systems. Transactions in Geographic Information Systems 6(3), 231–257 (2002)
Hammer, S., Dickmeiss, A., Levanto, H., Taylor, M.: Zebra – User’s Guide and Reference, Copenhagen (2005)
Leveling, J.: University of Hagen at CLEF 2003: Natural Language Access to the GIRT4 Data. In: Peters, C., Gonzalo, J., Braschler, M., Kluck, M. (eds.) CLEF 2003. LNCS, vol. 3237, pp. 412–424. Springer, Heidelberg (2004)
Hartrumpf, S.: Question Answering Using Sentence Parsing and Semantic Network Matching. In: Peters, C., Clough, P., Gonzalo, J., Jones, G.J.F., Kluck, M., Magnini, B. (eds.) CLEF 2004. LNCS, vol. 3491, pp. 512–521. Springer, Heidelberg (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Leveling, J., Hartrumpf, S., Veiel, D. (2006). Using Semantic Networks for Geographic Information Retrieval. In: Peters, C., et al. Accessing Multilingual Information Repositories. CLEF 2005. Lecture Notes in Computer Science, vol 4022. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11878773_109
Download citation
DOI: https://doi.org/10.1007/11878773_109
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45697-1
Online ISBN: 978-3-540-45700-8
eBook Packages: Computer ScienceComputer Science (R0)