Abstract
To obtain runnable knowledge – convertible into executable software – from the highest abstraction level of an application, one should start with a neat set of application ontologies. But the latter are not readily available in the literature. One needs to generate dedicated and smaller application ontologies from larger generic domain ontologies. The main problem to be solved is to optimize the size of the generated application ontologies as a trade-off between two opposing tendencies: to enlarge the selected domain ontology segments to include most relationships between relevant concepts, while reducing the same segments to exclude irrelevant terms. This work describes a chain of algorithms and a series of heuristic rules to reach the proposed solution. Finally, case studies are used to actually illustrate the whole approach.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Chang, E., Hussain, F.K., Dillon, T.: Reputation ontology for reputation systems. In: Meersman, R., Tari, Z. (eds.) OTM-WS 2005. LNCS, vol. 3762, pp. 957–966. Springer, Heidelberg (2005)
dataTXT-NEX – dandelion named entity extraction API. https://dandelion.eu/products/datatxt/nex/demo/
dataTXT-CL – dandelion text classification API. https://dandelion.eu/products/datatxt/cl/demo/
Decker, S., Erdmann, M., Fensel, D., Studer, R.: Ontobroker: ontology based access to distributed and semi-structured information. In: Proceedings of the DS-8, pp. 351–369 (1999)
De Rosso, S.P., Jackson, D.: What’s Wrong with Git? A Conceptual Design Analysis. Onward! 2013, pp. 37–51 (2013). doi:10.1145/2509578.2509584
Ding, L., Finin, T., Joshi, A., Peng, Y., Cost, R.C., Sachs, J., Pan, R., Reddivari, P., Doshi, V.: Swoogle: a semantic web search and metadata engine. In: Proceedings of the CIKM 2004. ACM (2004). http://swoogle.umbc.edu/
Exman, I.: Interestingness – a unifying paradigm – bipolar function composition. In: Fred, A. (ed.) Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, KDIR 2009, pp. 196–201 (2009)
Exman, I.: Opinion-ontologies: short and sharp. Accepted for Publication in 6th International Conference on Knowledge Engineering and Ontology Development, KEOD (2014)
Exman, I., Yagel, R.: ROM: an approach to self-consistency verification of a runnable ontology model. In: Fred, A., Dietz, J.L.G., Liu, K., Filipe, J. (eds.) IC3K 2012. CCIS, vol. 415, pp. 271–283. Springer, Heidelberg (2013)
Guarino, N.: Understanding, building and using ontologies. Int. J. Hum. Comput. Stud. 46, 293–310 (1997). doi:10.1006/ijhc.1996.0091
Guarino, N.: Semantic matching: formal ontological distinctions for information organization, extraction and integration. In: Pazienza, M.T. (ed.) SCIE 1997. LNCS, vol. 1299, pp. 139–170. Springer, Heidelberg (1997)
Guarino, N.: Formal ontology in information systems. In: Guarino, N. (ed.) Formal Ontology in Information Systems, pp. 3–18. IOS Press, Amsterdam (1998)
Jean-Mary, Y.R., Shironoshita, E.P., Kabuka, M.R.: Ontology matching with semantic verification. Web. Semant. 7(3), 235–251 (2009). doi:10.1016/j.websem.2009.04.001
Luke, S., Spector, L., Rager, D. Hendler, J.: Ontology-based web agents. In: Proceedings of the 1st International Conference on Autonomous Agents, AA 1997, pp. 59–66 (1997)
Nowakowski, W., Śmiałek, M., Ambroziewicz, A., Straszak, T.: Requirements-level language and tools for capturing software system essence. Comput. Sci. Inf. Syst. 10(4), 1499–1524 (2013). doi:10.2298/CSIS121210062N
Nguyen, V.: Ontologies and information systems: a literature survey. Technical report DSTO-TN-1002, Australian Government, Defence Science and Technology Organization (2011). http://digext6.defence.gov.au/dspace/bitstream/1947/10144/1/DSTO-TN-1002PR.pdf
Protégé - A free, open-source ontology editor and framework for building intelligent systems. http://protege.stanford.edu/
ReDSeeDS – Requirements-Driven Software Development System (2014). http://smog.iem.pw.edu.pl/redseeds/
Stop-words list in English. http://xpo6.com/list-of-english-stop-words/
Stumme, G., Maedche, A.: FCA-MERGE: bottom-up merging of ontologies. In: Proceedings of the 17th International Joint Conference on Artificial Intelligence, IJCAI 2001, pp. 225–230 (2001)
Svab-Zamazal, O., Svatek, V., Meilicker, C., Stuckenschmidt, H.: Testing the impact of pattern-based ontology refactoring on ontology matching results. In: Proceedings of the Ontology Matching Workshop, hosted by ISWC 2008, 7th International Semantic Web Conference, pp. 229–233 (2008)
Tijerino, Y.A., Embley, D.W., Lonsdale, D.W., Ding, Y., Nagy, G.: Towards ontology generation from tables. World Wide Web: Internet Web Inf. Syst. 8, 261–285 (2005). doi:10.1007/s11280-005-0360-8
Wynne, M., Hellesoy, A.: The Cucumber Book: Behaviour Driven Development for Testers and Developers, Pragmatic Programmer, New York, USA, (2012)
Yagel, R., Litovka, A., Exman, I.: KoDEgen: a knowledge driven engineering code generating tool. In: Proceedings of the 4th International Workshop on Software Knowledge, SKY 2013, hosted by IC3K, Vilamoura, Portugal, pp. 24–33 (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Exman, I., Iskusnov, D. (2015). Apogee: Application Ontology Generation with Size Optimization. In: Fred, A., Dietz, J., Aveiro, D., Liu, K., Filipe, J. (eds) Knowledge Discovery, Knowledge Engineering and Knowledge Management. IC3K 2014. Communications in Computer and Information Science, vol 553. Springer, Cham. https://doi.org/10.1007/978-3-319-25840-9_29
Download citation
DOI: https://doi.org/10.1007/978-3-319-25840-9_29
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-25839-3
Online ISBN: 978-3-319-25840-9
eBook Packages: Computer ScienceComputer Science (R0)