Abstract
The Web of Data, which comprises web sources that provide their data in RDF, is gaining popularity day after day. Ontological models over RDF data are shared and developed with the consensus of one or more communities. In this context, there usually exist more than one ontological model to understand RDF data, therefore, there might be a gap between the models and the data, which is not negligible in practice. In this paper, we present a technique to automatically discover ontological models from raw RDF data. It relies on a set of SPARQL 1.1 structural queries that are generic and independent from the RDF data. The output of our technique is a model that is derived from these data and includes the types and properties, subtypes, domains and ranges of properties, and minimum cardinalities of these properties. Our technique is suitable to deal with Big RDF Data since our experiments focus on millions of RDF triples, i.e., RDF data from DBpedia 3.2 and BBC. As far as we know, this is the first technique to discover such ontological models in the context of RDF data and the Web of Data.
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.
Similar content being viewed by others
References
Antoniou, G., van Harmelen, F.: A Semantic Web Primer. The MIT Press (2008)
Arasu, A., Garcia-Molina, H.: Extracting structured data from web pages. In: SIGMOD Conference, pp. 337–348 (2003)
Bizer, C., Heath, T., Berners-Lee, T.: Linked Data: The story so far. Int. J. Semantic Web Inf. Syst. 5(3), 1–22 (2009)
Bizer, C., Lehmann, J., Kobilarov, G., Auer, S., Becker, C., Cyganiak, R., Hellmann, S.: DBpedia - A crystallization point for the Web of Data. J. Web Sem. 77(3), 154–165 (2009)
Bizer, C., Boncz, P., Brodie, M.L., Erling, O.: The meaningful use of Big Data: Four perspectives - four challenges. SIGMOD Record 40(4), 56–60 (2011)
Blanco, L., Dalvi, N.N., Machanavajjhala, A.: Highly efficient algorithms for structural clustering of large websites. In: WWW, pp. 437–446 (2011)
Bouquet, P., Giunchiglia, F., van Harmelen, F., Serafini, L., Stuckenschmidt, H.: Contextualizing ontologies. J. Web Sem. 1(4), 325–343 (2004)
Crescenzi, V., Mecca, G.: Automatic information extraction from large websites. J. ACM 51(5), 731–779 (2004)
Flouris, G., Manakanatas, D., Kondylakis, H., Plexousakis, D., Antoniou, G.: Ontology change: Classification and survey. Knowledge Eng. Review 23(2), 117–152 (2008)
Giovanni, A., Gangemi, A., Presutti, V., Ciancarini, P.: Type inference through the analysis of wikipedia links. In: LDOW (2012)
Glimm, B., Hogan, A., Krötzsch, M., Polleres, A.: OWL: Yet to arrive on the Web of Data? In: LDOW (2012)
Glorio, O., Mazón, J.-N., Garrigós, I., Trujillo, J.: A personalization process for spatial data warehouse development. Decision Support Systems 52(4), 884–898 (2012)
He, B., Patel, M., Zhang, Z., Chang, K.C.-C.: Accessing the Deep Web. Commun. ACM 50(5), 94–101 (2007)
Heath, T., Bizer, C.: Linked Data: Evolving the Web into a Global Data Space. Morgan & Claypool (2011)
Hernández, I., Rivero, C.R., Ruiz, D., Corchuelo, R.: Towards Discovering Conceptual Models behind Web Sites. In: Atzeni, P., Cheung, D., Sudha, R. (eds.) ER 2012. LNCS, vol. 7532, pp. 166–175. Springer, Heidelberg (2012)
Hernández, I., Rivero, C.R., Ruiz, D., Corchuelo, R.: A statistical approach to URL-based web page clustering. In: WWW, pp. 525–526 (2012)
Kayed, M., Chang, C.-H.: FiVaTech: Page-level web data extraction from template pages. IEEE Trans. Knowl. Data Eng. 22(2), 249–263 (2010)
Kobilarov, G., Scott, T., Raimond, Y., Oliver, S., Sizemore, C., Smethurst, M., Bizer, C., Lee, R.: Media Meets Semantic Web – How the BBC Uses DBpedia and Linked Data to Make Connections. 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. 723–737. Springer, Heidelberg (2009)
LOD Cloud. Linked Open Data cloud (April 2012), http://thedatahub.org/group/lodcloud
Makris, K., Gioldasis, N., Bikakis, N., Christodoulakis, S.: SPARQL-RW: Transparent query access over mapped RDF data sources. In: EDBT (2012)
Mecca, G., Raunich, S., Pappalardo, A.: A new algorithm for clustering search results. Data Knowl. Eng. 62(3), 504–522 (2007)
Petropoulos, M., Deutsch, A., Papakonstantinou, Y., Katsis, Y.: Exporting and interactively querying web service-accessed sources: The CLIDE system. ACM Trans. Database Syst. 32(4), 22 (2007)
Polleres, A., Huynh, D.: Special issue: The Web of Data. J. Web Sem. 7(3), 135 (2009)
Popa, L., Velegrakis, Y., Miller, R.J., Hernández, M.A., Fagin, R.: Translating web data. In: VLDB, pp. 598–609 (2002)
Rivero, C.R., Hernández, I., Ruiz, D., Corchuelo, R.: On benchmarking data translation systems for semantic-web ontologies. In: CIKM, pp. 1613–1618 (2011)
Rivero, C.R., Hernández, I., Ruiz, D., Corchuelo, R.: Generating SPARQL Executable Mappings to Integrate Ontologies. In: Jeusfeld, M., Delcambre, L., Ling, T.-W. (eds.) ER 2011. LNCS, vol. 6998, pp. 118–131. Springer, Heidelberg (2011b)
Rivero, C.R., Schultz, A., Bizer, C., Ruiz, D.: Benchmarking the performance of Linked Data translation systems. In: LDOW (2012)
Shadbolt, N., Berners-Lee, T., Hall, W.: The Semantic Web revisited. IEEE Intelligent Systems 21(3), 96–101 (2006)
Su, W., Wang, J., Lochovsky, F.H.: ODE: Ontology-assisted data extraction. ACM Trans. Database Syst. 34(2), 12 (2009)
Tao, C., Embley, D.W., Liddle, S.W.: FOCIH: Form-Based Ontology Creation and Information Harvesting. In: Laender, A.H.F., Castano, S., Dayal, U., Casati, F., de Oliveira, J.P.M. (eds.) ER 2009. LNCS, vol. 5829, pp. 346–359. Springer, Heidelberg (2009)
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
Rivero, C.R., Hernández, I., Ruiz, D., Corchuelo, R. (2012). Towards Discovering Ontological Models from Big RDF Data. In: Castano, S., Vassiliadis, P., Lakshmanan, L.V., Lee, M.L. (eds) Advances in Conceptual Modeling. ER 2012. Lecture Notes in Computer Science, vol 7518. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33999-8_16
Download citation
DOI: https://doi.org/10.1007/978-3-642-33999-8_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33998-1
Online ISBN: 978-3-642-33999-8
eBook Packages: Computer ScienceComputer Science (R0)