Abstract
In the paper we discuss the idea of ontology reuse as a way of fast prototyping of new concepts. In particular, we propose that instead of building a complete ontology describing certain concepts from the very beginning, it is possible and advisable to reuse existing resources. We claim that the available online resources such as Wikidata or wordnets can be used to provide some hints or even complete parts of ontologies aiding new concepts definition. As a proof of concept, we present the implementation of an extension to the Ontolis ontology editor. With this extension we are able to reuse the ontologies provided by Wikidata to define the concepts that have not been previously defined. As a preliminary evaluation of the extension, we compare the amount of work required to define selected concepts with and without the proposed ontology reuse method.
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Notes
- 1.
As plWordNet contains primarily Polish terms, the actual search has been conducted using the Polish term lekarz which through the interlingual synonymy relation leads to the doctor concept.
References
Agirre, E., Ansa, O., Hovy, E., MartĂnez, D.: Enriching very large ontologies using the WWW. In: Proceedings ECAI Workshop on Ontology Learning (2000)
Arnold, P., Rahm, E.: Extracting semantic concept relations from Wikipedia. In: Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS 2014), pp. 1–11. ACM, New York (2014)
Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., Ives, Z.: DBpedia: a nucleus for a web of open data. In: Aberer, K., et al. (eds.) ASWC/ISWC -2007. LNCS, vol. 4825, pp. 722–735. Springer, Heidelberg (2007). doi:10.1007/978-3-540-76298-0_52
Biemann, C.: Ontology learning from text: a survey of methods. LDV Forum 20(2), 75–93 (2005)
Bisson, G., Nédellec, C., Namero, D.C.: Designing clustering methods for ontology building: the Mo’K workbench. In: Proceedings of the ECAI 2000 Workshop on Ontology Learning (2000)
Chuprina, S.: Steps towards bridging the HPC and computational science talent gap based on ontology engineering methods. Procedia Comput. Sci. 51, 1705–1713 (2015)
Chuprina, S., Postanogov, I., Nasraoui, O.: Ontology based data access methods to teach students to transform traditional information systems and simplify decision making process. Procedia Comput. Sci. 80, 1801–1811 (2016)
Chuprina, S., Zinenko, D.V.: Adaptable visual ontology editor Ontolis. Vestnik Perm State Univ. 3(22), 106–110 (2013). (in Russian)
Cimiano, P., Staab, S.: Learning concept hierarchies from text with a guided agglomerative clustering algorithm. In: Proceedings ICML 2005 Workshop on Learning and Extending Lexical Ontologies with Machine Learning Methods (OntoML 2005) (2005)
Cupek, R., Ziebinski, A., Fojcik, M.: An ontology model for communicating with an autonomous mobile platform. In: Kozielski, S., Kasprowski, P., Mrozek, D., Małysiak-Mrozek, B., Kostrzewa, D. (eds.) BDAS 2017. CCIS, vol. 716, pp. 480–493. Springer, Cham (2017)
De Nicola, A., Missikoff, M., Navigli, R.: A software engineering approach to ontology building. Inf. Syst. 34, 258–275 (2009)
Doran, P., Tamma, V., Iannone, L.: Ontology module extraction for ontology reuse: an ontology engineering perspective. In: Proceedings of the 16th ACM Conference on Information and Knowledge Management (CIKM 2007), pp. 61–70. ACM, New York (2007)
Gómez-Pérez, A., Fernández-López, M., Corcho, O.: Ontological Engineering: With Examples from the Areas of Knowledge Management. E-Commerce and the Semantic Web. Springer, London (2004)
GĂłmez-PĂ©rez, A., Manzano-Macho, D.: Deliverable 1.5: a survey of ontology learning methods and techniques (2003)
Gonalves, R., Mardi, J., Horridge, M., Musen, M., Nyulas, C., Tu, S., Tudorache, T.: http://protege.stanford.edu/. Accessed 11 June 2016
Hearst, M.A.: Automatic acquisition of hyponyms from large text corpora. In: Proceedings of the 14th International Conference on Computational Linguistics (COLING 1992), vol. 2, pp. 539–545 (1992)
Herbelot, A., Copestake, A.: Acquiring ontological relationships from Wikipedia using RMRS. In: Proceedings of ISWC 2006 Workshop on Web Content Mining with Human Language Technologies, pp. 1–10 (2006)
Horák, A., Pala, K., Rambousek, A., Povolný, M.: DEBVisDic - first version of new client-server wordnet browsing and editing tool. In: Proceedings of the Third International WordNet Conference (GWC 2006), pp. 325–328 (2006)
Jastrząb, T., Kwiatkowski, G., Sadowski, P.: Mapping of selected synsets to semantic features. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds.) BDAS 2016. CCIS, vol. 613, pp. 357–367. Springer, Cham (2016). doi:10.1007/978-3-319-34099-9_28
Kostareva, T., Chuprina, S., Nam, A.: Using ontology-driven methods to develop frameworks for tackling NLP problems. In: Supplementary Proceedings of the 5th International Data Science Conference: Analysis of Images, Social Networks and Texts (AIST 2016), CEUR-WS, vol. 1710 (2016)
Kozielski, M., Gruca, A.: Visual comparison of clustering gene ontology with different similarity measures. Studia Informatica 32(2A(96)), 169–180 (2011). Presented at BDAS 2011
Kozielski, M., Gruca, A.: Application of binary similarity measures to analysis of genes represented in gene ontology domain. Studia Informatica 33(2A(105)), 543–554 (2012). Presented at BDAS 2012
Maziarz, M., Piasecki, M., Rudnicka, E., Szpakowicz, S., Kędzia, P.: plWordNet 3.0 - a comprehensive lexical-semantic resource. In: Proceedings of COLING 2016, The 26th International Conference on Computational Linguistics: Technical Papers, pp. 2259–2268 (2016)
Miller, G.A.: Nouns in wordnet: a lexical inheritance system. Int. J. Lexicography 3(4), 245–264 (1990)
Miller, G.A., Beckwith, R., Fellbaum, C., Gross, D., Miller, K.: Introduction to wordnet: an on-line lexical database. Int. J. Lexicography 3(4), 235–244 (1990)
Navigli, R., Velardi, P.: Learning domain ontologies from document warehouses and dedicated web sites. Comput. Linguist. 30(2), 151–179 (2004)
Pease, A., Niles, I.: IEEE standard upper ontology: a progress report. Knowl. Eng. Rev. Spec. Issue Ontol. Agents 17(1), 65–70 (2002)
Piasecki, M., Szpakowicz, S., Broda, B.: Toward plWordNet 2.0. In: Bhattacharyya, P., Fellbaum, C., Vossen, P. (eds.) Proceedings of the 5th Global Wordnet Conference on Principles, Construction and Application of Multilingual Wordnets, pp. 263–270. Narosa Publishing House (2010)
Ruiz-Cascado, M., Alfonseca, E., Castells, P.: Automatic extraction of semantic relationships for WordNet by means of pattern learning from Wikipedia. In: Montoyo, A., Muńoz, R., Métais, E. (eds.) NLDB 2005. LNCS, vol. 3513, pp. 67–79. Springer, Heidelberg (2005). doi:10.1007/11428817_7
Ruiz-Cascado, M., Alfonseca, E., Castells, P.: Automatising the learning of lexical patterns: an application to the enrichment of WordNet by extracting semantic relationships from Wikipedia. Data Knowl. Eng. 61(3), 484–499 (2007)
Sowa, J.F.: Ontology (2010). http://www.jfsowa.com/ontology/. Accessed 11 June 2016
Vrandečić, D., Krötsch, M.: Wikidata: a free collaborative knowledgebase. Commun. ACM 57(10), 78–85 (2014)
Xiang, Z., Courtot, M., Brinkman, R., Ruttenberg, A., He, Y.: OntoFox: web-based support for ontology reuse. BMC Res. Notes 3(175), 1–12 (2010)
Ziebinski, A., Cupek, R., Erdogan, H., Waechter, S.: A survey of ADAS technologies for the future perspective of sensor fusion. In: Nguyen, N.-T., Manolopoulos, Y., Iliadis, L., Trawiński, B. (eds.) ICCCI 2016. LNCS (LNAI), vol. 9876, pp. 135–146. Springer, Cham (2016). doi:10.1007/978-3-319-45246-3_13
Acknowledgments
The reported study was partially supported by the European Union from the FP7-PEOPLE-2013-IAPP AutoUniMo project Automotive Production Engineering Unified Perspective based on Data Mining Methods and Virtual Factory Model (grant agreement no. 612207) and research work financed from funds for science in years 2016–2017 allocated to an international co-financed project (grant agreement no. 3491/7.PR/15/2016/2). It was also partially supported by the Institute of Informatics research grant no. BKM/507/RAU2/2016, at the Silesian Univeristy of Technology, Poland and the Government of Perm Krai, research project No. C-26/004.08 and by the Foundation of Assistance for Small Innovative Enterprises, Russia.
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Postanogov, I., Jastrząb, T. (2017). Ontology Reuse as a Means for Fast Prototyping of New Concepts. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds) Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation. BDAS 2017. Communications in Computer and Information Science, vol 716. Springer, Cham. https://doi.org/10.1007/978-3-319-58274-0_23
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