Abstract
The ontology engineering is a complex and time-consuming process. In this regard, methods for automated formation of ontologies based on various information sources (e.g., databases, spreadsheets data, and text documents, etc.) are being actively developed. This paper presents a case study for the domain ontology engineering based on analysis and transformation of conceptual models and spreadsheet data. The analysis of conceptual models, which are serialized using XML, provides the opportunity to develop content ontology design patterns. The specific concepts for filling obtained ontology design patterns are resulted from the transformation of spreadsheet data in the CSV format. In this paper, we present statement of the problem and the approach for its solution. The illustrative example describes ontology engineering for the industrial safety inspection tasks.
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References
Guarino, N.: Formal ontology in information systems. In: The First International Conference on Formal Ontology in Information Systems (FOIS 1998), vol. 46, pp. 3–15 (1998)
Starr, R.R., de Oliveira, J.M.P.: Concept maps as the first step in an ontology construction method. Inf. Syst. 38, 771–783 (2013). https://doi.org/10.1109/EDOCW.2010.43
Herrero-Zazo, M., Segura-Bedmar, I., MartÃnez, P.: Conceptual models of drug-drug interactions: a summary of recent efforts. Knowl.-Based Syst. 114, 99–107 (2016). https://doi.org/10.1016/j.knosys.2016.10.006
Berman, A.F., Dorodnykh, N.O., Nikolaychuk, O.A., Pavlov, N.Y., Yurin, A.Yu.: Fishbone diagrams for the development of knowledge bases. In: The 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2018), pp. 967–972 (2018). https://doi.org/10.23919/MIPRO.2018.8400177
Shigarov, A.O., Mikhailov, A.A.: Rule-based spreadsheet data transformation from arbitrary to relational tables. Inf. Syst. 71, 123–136 (2017). https://doi.org/10.1016/j.is.2017.08.004
Tijerino, Y.A., Embley, D.W., Lonsdale, D.W., Ding, Y., Nagy, G.: Towards ontology generation from tables. World Wide Web 8(3), 261–285 (2005). https://doi.org/10.1007/s11280-005-0360-8
Hitzler, P., Gangemi, A., Janowicz, K., Krisnadhi, A.A., Presutti, V.: Ontology Engineering with Ontology Design Patterns: Foundations and Applications. Studies on the Semantic Web. IOS Press/AKA, Amsterdam (2016)
Association for ontology design & patterns (ODPA). http://ontologydesignpatterns.org/wiki/ODPA. Accessed 18 Mar 2019
Milanović, M., Gašević, D., Giurca, A., Wagner, G., Devedžić, V.: Bridging concrete and abstract syntaxes in model-driven engineering: a case of rule languages. Soft. Pract. Exp. 39(16), 1313–1346 (2009). https://doi.org/10.1002/spe.938
Zedlitz, J., Luttenberger, N.: Conceptual modelling in UML and OWL-2. Int. J. Adv. Softw. 7(1), 182–196 (2014)
Bohring, H., Auer, S.: Mapping XML to OWL ontologies. In: Leipziger Informatik-Tage, vol. 72, pp. 147–156 (2005)
Rodrigues, T., Rosa, P., Cardoso, J.: Moving from syntactic to semantic organizations using JXML2OWL. Comput. Ind. 59(8), 808–819 (2008). https://doi.org/10.1016/j.compind.2008.06.002
O’Connor, M.J., Das, A.K.: Acquiring OWL ontologies from XML documents. In: The 6th International Conference on Knowledge Capture (K-CAP 2011), pp. 17–24 (2011). https://doi.org/10.1145/1999676.1999681
Bedini, I., Matheus, C., Patel-Schneider, P.F., Boran, A., Nguyen, B.: Transforming XML schema to OWL using patterns. In: The 2011 IEEE Fifth International Conference on Semantic Computing, pp. 102–109 (2011). https://doi.org/10.1109/ICSC.2011.77
Gleaning resource descriptions from dialects of languages (GRDDL). https://www.w3.org/TR/grddl/. Accessed 18 Mar 2019
Lange, C.: Krextor - an extensible framework for contributing content math to the web of data. In: International Conference on Intelligent Computer Mathematics, pp. 304–306 (2011). https://doi.org/10.1007/978-3-642-22673-1_29
Bischof, S., Decker, S., Krennwallner, T., Lopes, N., Polleres, A.: Mapping between RDF and XML with XSPARQL. J. Data Semant. 1(3), 147–185 (2012). https://doi.org/10.1007/s13740-012-0008-7
Dorodnykh, N.O.: Web-based software for automating development of knowledge bases on the basis of transformation of conceptual models. Open Semant. Technol. Intell. Syst. 1, 145–150 (2017)
Dorodnykh, N.O., Yurin, A.Yu.: A domain-specific language for transformation models. In: CEUR Workshop Proceedings. Information Technologies: Algorithms, Models, Systems (ITAMS 2018), vol. 2221, pp. 70–75 (2018)
Mauro, N., Esposito, F., Ferilli, S.: Finding critical cells in web tables with SRL: trying to uncover the devil’s tease. In: Proceedings of the 12th International Conference on Document Analysis and Recognition, pp. 882–886 (2013). https://doi.org/10.1109/ICDAR.2013.180
Adelfio, M., Samet, H.: Schema extraction for tabular data on the web. Proc. VLDB Endow. 6(6), 421–432 (2013). https://doi.org/10.14778/2536336.2536343
Chen, Z., Cafarella, M.: Integrating spreadsheet data via accurate and low-effort extraction. In: Proceedings of the 20th ACM SIGKDD International Conference Knowledge Discovery and Data Mining, pp. 1126–1135 (2014). https://doi.org/10.1145/2623330.2623617
Embley, D.W., Krishnamoorthy, M.S., Nagy, G., Seth, S.: Converting heterogeneous statistical tables on the web to searchable databases. Int. J. Doc. Anal. Recogn. 19(2), 119–138 (2016). https://doi.org/10.1007/s10032-016-0259-1
Kandel, S., Paepcke, A., Hellerstein, J., Heer, J.: Wrangler: interactive visual specification of data transformation scripts. In: Proceedings of the SIGCHI Conference Human Factors in Computing Systems, pp. 3363–3372 (2011). https://doi.org/10.1145/1978942.1979444
Hung, V., Benatallah, B., Saint-Paul, R.: Spreadsheet-based complex data transformation. In: Proceedings of the 20th ACM International Conference on Information and Knowledge Management, pp. 1749–1754 (2011). https://doi.org/10.1145/2063576.2063829
Harris, W., Gulwani, S.: Spreadsheet table transformations from examples. ACM SIGPLAN Not. 46(6), 317–328 (2011). https://doi.org/10.1145/1993316.1993536
O’Connor, M.J., Halaschek-Wiener, C., Musen, M.A.: Mapping master: a flexible approach for mapping spreadsheets to OWL. In: The Semantic Web – ISWC 2010. LNCS, pp. 194–208 (2010). https://doi.org/10.1007/978-3-642-17749-1_13
Mulwad, V., Finin, T., Joshi, A.: A domain independent framework for extracting linked semantic data from tables. In: Search Computing, pp. 16–33 (2012). https://doi.org/10.1007/978-3-642-34213-4_2
Da Silva, A.R.: Model-driven engineering: a survey supported by the unified conceptual model. Comput. Lang. Syst. Struct. 43, 139–155 (2015). https://doi.org/10.1016/j.cl.2015.06.001
Berman, A.F., Nikolaichuk, O.A., Yurin, A.Y., Kuznetsov, K.A.: Support of decision-making based on a production approach in the performance of an industrial safety review. Chem. Pet. Eng. 50(1–2), 730–738 (2015). https://doi.org/10.1007/s10556-015-9970-x
Yurin, A.H., Dorodnykh, N.O., Nikolaychuk, O.A., Berman, A.F., Pavlov, A.I.: ISI models, mendeley data, v1 (2019). http://dx.doi.org/10.17632/f9h2t766tk.1
https://github.com/tabbydoc/tabbyxl/wiki/Industrial-Safety-Inspection
Dorodnykh, N.O., Yurin, A.Yu., Stolbov A.B.: Ontology driven development of rule-based expert systems. In: The 3rd Russian-Pacific Conference on Computer Technology and Applications (RPC 2018), pp. 1–6 (2018). https://doi.org/10.1109/RPC.2018.8482174
Grishenko, M.A., Dorodnykh, N.O., Nikolaychuk, O.A., Yurin, A.Yu.: Designing rule-based expert systems with the aid of the model-driven development approach. Expert Syst. 35(5), 1–23 (2018). https://doi.org/10.1111/exsy.12291
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The contribution of this work was supported by the Russian Science Foundation under Grant No. 18-71-10001.
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Dorodnykh, N.O., Yurin, A.Y. (2019). Towards Ontology Engineering Based on Transformation of Conceptual Models and Spreadsheet Data: A Case Study. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Intelligent Systems Applications in Software Engineering. CoMeSySo 2019 2019. Advances in Intelligent Systems and Computing, vol 1046. Springer, Cham. https://doi.org/10.1007/978-3-030-30329-7_22
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