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An Introduction to Semantic Web Technologies

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Semantic Web Technologies for Intelligent Engineering Applications

Abstract

The process of engineering cyber-physical production systems (CPPS) relies on the collaborative work of multiple and diverse teams of engineers who need to exchange and synchronize data created by their domain-specific tools. Building applications that support the CPPS engineering process requires technologies that enable integrating and making sense of heterogeneous datasets produced by various engineering disciplines. Are Semantic Web technologies suitable to fulfill this task? This chapter aims to answer this question by introducing the reader to key Semantic Web concepts in general and core Semantic Web technologies (SWT) in particular, including ontologies, Semantic Web knowledge representation languages, and Linked Data. The chapter concludes this technology overview with a specific focus on core SWT capabilities that qualify them for intelligent engineering applications. These capabilities include (i) formal and flexible semantic modeling, (ii) intelligent, web-scale knowledge integration, (iii) browsing and exploration of distributed data sets, (iv) knowledge quality assurance and (v) knowledge reuse.

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References

  • Allemang, D., Hendler, J.: Semantic Web for the Working Ontologist, 2nd edn. Morgan Kaufmann (2011)

    Google Scholar 

  • Arp, R., Smith, B., Spear, AD.: Building Ontologies with Basic Formal Ontology, p. 248. MIT Press (2015). ISBN 978-0262527811

    Google Scholar 

  • Baader, F., Calvanese, D., McGuinness, D.L., Nardi, D., Patel-Schneider, P.F. (eds.).: The Description Logic Handbook: Theory, Implementation, and Applications. Cambridge University Press, New York (2003)

    MATH  Google Scholar 

  • Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval. ACM Press, Addison-Wesley, New York (1999)

    Google Scholar 

  • Berners-Lee, T.: Weaving the Web. Harpur, San Francisco (1999)

    Google Scholar 

  • Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Sci. Am. 29–37 (2001)

    Google Scholar 

  • Borgo, S., Gangemi, A., Guarino, N., Masolo, C., Oltramari, A.: Ontology RoadMap. WonderWeb Deliverable D15 (2002)

    Google Scholar 

  • Corcho, O., Fernandez-Lopez, M., Gomez-Perez, A.: Methodologies, tools and languages for building ontologies. Where is the meeting point? Data Knowl. Eng. 46(1), 41–46 (2003)

    Article  Google Scholar 

  • Cyganiak, R., Wood, D., Lanthaler, M.: RDF 1.1 Concepts and Abstract Syntax. W3C Recommendation. http://www.w3.org/TR/rdf11-concepts/ (2014). Accessed 25 Feb 2014

  • Dentler, K., Cornet, R., ten Teije, A., de Keizer, N.: Comparison of reasoners for large ontologies in the OWL 2 EL profile. Semant. Web J. 2(2), 71–87 (2011)

    Google Scholar 

  • Euzenat, J., Shvaiko, P.: Ontology Matching. Springer (2013)

    Google Scholar 

  • Fensel, D., Decker, S., Erdmann, M., Studer, R.: Ontobroker: or how to enable intelligent access to the WWW. In: Proceedings of the 11th Knowledge Acquisition for Knowledge-Based System Workshop (KAW98). Banff, Kanada (1998)

    Google Scholar 

  • Gabrilovich, E., Markovitch, S.: Computing semantic relatedness using Wikipedia-based explicit semantic analysis. In: Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI'07). Morgan Kaufmann Publishers Inc., pp. 1606–1611 (2007)

    Google Scholar 

  • Glimm, B., Horrocks, I., Motik, B., Stoilos, G., Wang, Z.: HermiT: An OWL 2 Reasoner. J. Autom. Reason. 53(3), 245–269 (2014)

    Article  MATH  Google Scholar 

  • Groth, P., Loizou, A., Gray, AJG., Goble, C., Harland, L., Pettifer, S.: API-centric linked data integration: the open phacts discovery platform case study. Web Semantics, Science, Services and Agents on the World Wide Web, vol. 29, pp. 12–18, Dec 2014

    Google Scholar 

  • Gruber, T.R.: A translation approach to portable ontology specifications. Knowl. Acquis. 5(2), 199–220 (1993)

    Article  Google Scholar 

  • Guarino, N.: Formal ontology and information systems. In Guarino, N. (ed.) Formal Ontology in Information Systems. Proceedings of FOIS’98, pp. 3−15. IOS Press (1998)

    Google Scholar 

  • Harris, S., Seaborne, A.: SPARQL 1.1 query language. W3C Recommendation 21 Mar 2013. http://www.w3.org/TR/2013/REC-sparql11-query-20130321/

  • Hausenblas, M., Ruth, L., Wood, D., Zaidman, M.: Linked Data, Manning, p. 336 (2014). ISBN 978-1617290398

    Google Scholar 

  • Heath, T., Bizer, C.: Linked Data: Evolving the Web into a Global Data Space, 1st edn. Synthesis Lectures on the Semantic Web: Theory and Technology. Morgan & Claypool (2011)

    Google Scholar 

  • Hepp, M.: GoodRelations: an ontology for describing products and services offers on the web. In: Proceedings of the 16th International Conference on Knowledge Engineering and Knowledge Management (EKAW). Springer LNCS, vol. 5268, pp. 332–347 (2008)

    Google Scholar 

  • Kernschmidt, K., Vogel-Heuser, B.: An interdisciplinary SysML based modelling approach for analyzing change influences in production plants to support the engineering. In: Proceedings of the IEEE International Conference on Automation Science and Engineering (CASE), pp. 1113–1118 (2013)

    Google Scholar 

  • 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: Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications (ESWC). Springer, pp. 723–737 (2009)

    Google Scholar 

  • Köhler, S., Bauer, S., Mungall, C.J., Carletti, G., Smith, C.L., Schofield, P., Gkoutos, G.V., Robinson, P.N.: Improving ontologies by automatic reasoning and evaluation of logical definitions. BMC Bioinformatics 12, 418 (2011)

    Google Scholar 

  • Lehmann, J., Isele, R., Jakob, M., Jentzsch, A., Kontokostas, D., Mendes, P.N., Hellmann, S., Morsey, M., van Kleef, P., Auer, S., Bizer, C.: DBpedia—a large-scale, multilingual knowledge base extracted from Wikipedia. Semant. Web J. 6(2), 67–195 (2015)

    Google Scholar 

  • Luke, S., Spector, L., Rager, D.: Ontology-based knowledge discovery on the World-Wide Web. In: AAAI Workshop on Internet-Based Information Systems (1996)

    Google Scholar 

  • Martin, D., Burstein, M., Mcdermott, D., McIlraith, S., Paolucci, M., Sycara, K., McGuinness, D.L., Sirin, E., Srinivasan, N.: Bringing semantics to web services with OWL-S. World Wide Web 10(3), 243–277 (2007)

    Article  Google Scholar 

  • Marquardt, W., Morbach, J., Wiesner, A., Yang, A.: OntoCAPE: A Re-usable Ontology for Chemical Process Engineering. Springer, Heidelberg (2010)

    Book  Google Scholar 

  • Masolo, C., Borgo, S., Gangemi, A., Guarino, N., Oltramari, A.: WonderWeb Deliverable D18—Ontology Library (Final Version). Working paper (2003)

    Google Scholar 

  • McBride, B.: The Resource Description Framework (RDF) and its vocabulary description language RDFS. In: Staab, S., Studer, R. (eds.) Handbook on Ontologies, International Handbooks on Information Systems, pp. 51−66. Springer (2004)

    Google Scholar 

  • Musen, M.: Protégé Team, Protégé Ontology Editor. In: Encyclopedia of Systems Biology, pp 1763–1765. Springer, New York (2013)

    Google Scholar 

  • Oberle, D.: Ontologies and reasoning in enterprise service ecosystems. In: Informatik Spektrum, vol. 37, no. 4 (2014)

    Google Scholar 

  • Pease, A., Niles, I., Li, J.: The suggested upper merged ontology: a large ontology for the Semantic Web and its applications. In: Working Notes of the AAAI Workshop on Ontologies and the Semantic Web. Edmonton, Canada (2002)

    Google Scholar 

  • Schuurman, N., Leszczynski, A.: Ontologies for bioinformatics. Bioinform. Biol. Insights 2, 187–200 (2008)

    Google Scholar 

  • Shadbolt, N., Berners-Lee, T., Hall, W.: The Semantic Web revisited. IEEE Intell. Syst. 21(3), 96–101 (2006)

    Article  Google Scholar 

  • Simperl, E.: Reusing ontologies on the Semantic Web: a feasibility study. Data Knowl. Eng. 68(10), 905–925 (2009)

    Article  Google Scholar 

  • Sirin, E., Parsia, B., Cuenca Grau, B., Kalyanpur, A., Katz, Y.: Pellet: a practical OWL-DL reasoner. J. Web Semant. 5(2), 51–53 (2007)

    Article  Google Scholar 

  • Smith, B.: Basic Formal Ontology. Technical report, Institute for Formal Ontology and Medical Information Science, University of Leipzig (2003)

    Google Scholar 

  • Studer, R., Benjamins, V., Fensel, D.: Knowledge engineering: principles and methods. Data Knowl. Eng. 25(1–2), 161–197 (1998)

    Article  MATH  Google Scholar 

  • Tsarkov, D., Horrocks, I.: FaCT++ description logic reasoner: system description. In: Furbach, U., Shankar, N. (eds.) Proceedings of the Third International Joint Conference on Automated Reasoning (IJCAR), pp. 292–297. Springer, Berlin (2006)

    Google Scholar 

  • van Heijst, G., Schreiber, A.T., Wielinga, B.J.: Using explicit ontologies in KBS development. Int. J. Hum. Comput. Stud. 46(2/3), 183–292 (1997)

    Article  MATH  Google Scholar 

  • Walker, J.: Is linked data the future of data integration in the enterprise? http://blog.nxp.com/is-linked-data-the-future-of-data-integration-in-the-enterprise/ (2015). Accessed 22 Oct 2015

  • Wood, D.: Linking Enterprise Data. Springer (2010)

    Google Scholar 

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Acknowledgments

This work was supported by the Christian Doppler Forschungsgesellschaft, the Federal Ministry of Economy, Family and Youth, and the National Foundation for Research, Technology and Development in Austria.

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Correspondence to Marta Sabou .

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Sabou, M. (2016). An Introduction to Semantic Web Technologies. In: Biffl, S., Sabou, M. (eds) Semantic Web Technologies for Intelligent Engineering Applications. Springer, Cham. https://doi.org/10.1007/978-3-319-41490-4_3

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  • DOI: https://doi.org/10.1007/978-3-319-41490-4_3

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