Abstract
The Linked Open Data initiative brought more and more RDF data sources to be published on the Web. However, these data sources contain relatively little information compared to the documents available on the surface Web. Many annotation tools have been proposed in the last decade for the automatic construction and enrichment of knowledge bases. But, while noticeable advances are achieved for the extraction of concept instances, the extraction of semantic relations remains a challenging task when the structures and the vocabularies of the target documents are heterogeneous. In this paper, we propose a novel approach, called REISA, which allows to enrich RDF/OWL knowledge bases with semantic relations using semistructured documents annotated with concept instances. REISA produces weighted relation instances without exploiting lexico-syntactic or structure regularities in the documents. Neighbor domain entities in the annotated documents are used to generate the first sets of candidate relations according to the domain and range axioms defined in a domain ontology. The construction of these candidate sets relies on automated semantic controls performed with (i) the existing knowledge bases and (ii) the (inverse) functionality of the target relations. The weighting of the selected relation candidates is performed according to the neighborhood distance between the annotated domain entities in the document. Experiments on two real web datasets show that (i) REISA allows to extract semantic relationships with interesting precision values reaching 76,5% and that (ii) the weighting method is effective for ranking the relation candidates according to their precision.
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
Aussenac-Gilles, N., Jacques, M.-P.: Designing and Evaluating Patterns for Ontology Enrichment from Texts. In: Staab, S., Svátek, V. (eds.) EKAW 2006. LNCS (LNAI), vol. 4248, pp. 158–165. Springer, Heidelberg (2006)
Bikel, D.M., Miller, S., Schwartz, R., Weischedel, R.: Nymble. In: Proceedings of the Fifth Conference on Applied Natural Language Processing, Morristown, NJ, USA, pp. 194–201. Association for Computational Linguistics (March 1997)
Bizer, C., Lehmann, J., Kobilarov, G., Auer, S., Becker, C., Cyganiak, R., Hellmann, S.: Dbpedia – a crystallization point for the web of data. Web Semantics: Science, Services and Agents on the World Wide Web 7, 154–165 (2009)
Buitelaar, P., Siegel, M.: Ontology-based information extraction with soba. In: Proc. of the International Conference on Language Resources and Evaluation (LREC), pp. 2321–2324 (2006)
Cimiano, P., Ladwig, G., Staab, S.: Gimme’the context: Context driven automatic semantic annotation with c-pankow. In: WWW Conference (2005)
Gerber, D., Ngonga Ngomo, A.-C.: Bootstrapping the linked data web. In: 1st Workshop on Web Scale Knowledge Extraction, International Semantic Web Conference (1), vol. 7031. LNCS. Springer (2011)
Hignette, G., Buche, P., Dibie-Barthélemy, J., Haemmerlé, O.: Fuzzy Annotation of Web Data Tables Driven by a Domain Ontology. In: Aroyo, L., Traverso, P., Ciravegna, F., Cimiano, P., Heath, T., Hyvönen, E., Mizoguchi, R., Oren, E., Sabou, M., Simperl, E. (eds.) ESWC 2009. LNCS, vol. 5554, pp. 638–653. Springer, Heidelberg (2009)
Jain, P., Hitzler, P., Verma, K., Yeh, P.Z., Sheth, A.P.: Moving beyond sameas with plato: partonomy detection for linked data. In: Proceedings of the 23rd ACM Conference on Hypertext and Social Media, HT 2012, pp. 33–42. ACM, New York (2012)
Limaye, G., Sarawagi, S., Chakrabarti, S.: Annotating and searching web tables using entities, types and relationships. Proc. VLDB Endow. 3, 1338–1347 (2010)
Nadeau, D., Sekine, S.: A survey of named entity recognition and classification. Lingvisticae Investigationes, 3–26 (2007)
Popov, B., Kiryakov, A., Kirilov, A., Manov, D., Ognyanoff, D., Goranov, M.: Kim - semantic annotation platform. Journal of Natural Language Engineering 10(3), 375–392 (2004)
Suchanek, F.M., Ifrim, G., Weikum, G.: Combining linguistic and statistical analysis to extract relations from web documents. In: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2006, New York, USA, pp. 712–717 (August 2006)
Suchanek, F.M., Kasneci, G., Weikum, G.: Yago: A large ontology from wikipedia and wordnet. J. Web Sem. 6(3), 203–217 (2008)
Suchanek, F.M., Sozio, M., Weikum, G.: Sofie: A self-organizing framework for information extraction. In: WWW Conference (2009)
Thiam, M., Bennacer, N., Pernelle, N., Lô, M.: Incremental Ontology-Based Extraction and Alignment in Semi-structured Documents. In: Bhowmick, S.S., Küng, J., Wagner, R. (eds.) DEXA 2009. LNCS, vol. 5690, pp. 611–618. Springer, Heidelberg (2009)
Zadeh, L.A.: Fuzzy sets. Information and Control, 338–353 (1965)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Mrabet, Y., Bennacer, N., Pernelle, N. (2012). Controlled Knowledge Base Enrichment from Web Documents. In: Wang, X.S., Cruz, I., Delis, A., Huang, G. (eds) Web Information Systems Engineering - WISE 2012. WISE 2012. Lecture Notes in Computer Science, vol 7651. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35063-4_23
Download citation
DOI: https://doi.org/10.1007/978-3-642-35063-4_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35062-7
Online ISBN: 978-3-642-35063-4
eBook Packages: Computer ScienceComputer Science (R0)