Using Linked Data To Extract Geo-knowledge

There are several approaches to extract geo-knowledge from documents and textual fields in databases. Most of them focus on detecting geographic evidence, from which the associated geographic location can be determined. This paper is based on a different premise - geo-knowledge can be extracted even from non-geographic evidence, taking advantage of the linked data paradigm. The paper gives an overview of our approach and presents two case studies to extract geo-knowledge from documents and databases in the biodiversity domain.111116Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., Ives, Z., Dbpedia: A nucleus for a web of open data (2007) The Semantic Web, Volume 4825 of Lecture Notes in Computer Science, pp. 722-735. , Springer Berlin / HeidelbergBerners-Lee, T., Hendler, J., Lassila, O., The semantic web (2001) Scientific American, 284 (5), pp. 28-37Bizer, C., Heath, T., Berners-Lee, T., Linked data - The story so far (2009) International Journal on Semantic Web and Information Systems, 5 (3), pp. 1-22Bizer, C., Lehmann, J., Kobilarov, G., Auer, S., Becker, C., Cyganiak, R., Hellmann, S., Dbpedia - A crystallization point for the web of data (2009) Web Semantics: Science, Services and Agents on the World Wide Web, 7 (3), pp. 154-165Cano, P., Automatic sound annotation (2004) IEEE Workshop on Machine Learning for Signal Processing, pp. 391-400Cugler, D., Medeiros, C., Toledo, L., Managing animal sounds-some challenges and research directions (2011) Proceedings V EScience Workshop - XXXI Brazilian Computer Society ConferenceEuzenat, J., Eight questions about semantic web annotations (2002) IEEE Intelligent S, 17 (2), pp. 55-62Gomes, L.C., Medeiros, C.B., Ecologically-aware queries for biodiversity research (2007) Proceedings of GeoInfo - Brazilian Geoinformatics Symposium, pp. 73-84Kiryakov, A., Popov, B., Terziev, I., Manov, D., Ognyanoff, D., Semantic annotation, indexing, and retrieval (2004) Web Semantics: Science, Services and Agents on the World Wide Web, 2 (1), pp. 49-79Lesaffre, M., Tanghe, K., Martens, G., Moelants, D., Leman, M., Baets, B.D., Meyer, H.D., Martens, J.-P., The mami query-by-voice experiment: Collecting and annotating vocal queries for music information retrieval (2003) Proceedings of the International Conference on Music Information Retrieval, pp. 26-30Macario, C.G.N., Medeiros, C.B., A framework for semantic annotation of geospatial data for agriculture (2009) Int. J. Metadata, Semantics and Ontology - Special issue on "Agricultural Metadata and Semantics", 4, pp. 118-132Nadeau, D., Turney, P., Matwin, S., Unsupervised named-entity recognition: Generating gazetteers and resolving ambiguity (2006) Advances in Artificial Intelligence, Volume 4013 of Lecture Notes in Computer Science, pp. 266-277Odon De Alencar, R., Davis Jr., C.A., Gonçalves, M.A., Geographical classification of documents using evidence from wikipedia (2010) Proceedings of the 6th Workshop on Geographic Information Retrieval, GIR '10, pp. 121-128. , ACMOkamoto, A., Yokoyama, S., Fukuta, N., Ishikawa, H., Proposal of spatiotemporal data extraction and visualization system based on wikipedia for application to earth science (2010) Computer and Information Science (ICIS), pp. 651-656. , 2010 IEEE/ACIS 9th International Conference onOren, E., Moller, K.H., Scerri, S., Handschuh, S., Sintek, M., What are semantic annotations? (2006) Technical Report, DERI GalwayStrötgen, J., Gertz, M., Popov, P., Extraction and exploration of spatiotemporal information in documents (2010) Proceedings of the 6th Workshop on Geographic Information Retrieval, GIR '10, pp. 161-168. , New York, NY, USA. AC