Reusability ontology in business processes with similarity matching
DOI:
https://doi.org/10.26555/jifo.v12i1.a7175Abstract
The working technology will provide information and knowledge. Information and technology can be developed in various ways, by reusing the technologies. In this study modeled the ontology of SOPs using protégé. Ontology will be matched between ontology A and B to obtain similarity and reuse ontology to create a more optimal ontology. Matching is a matching process between both ontologies to get the same value from both ontologies. Jaro-Winkler distance is used to find commonality between ontology. The result of the Jaro-Winkler distance has a value of 0 and 1, in matching will be obtained value close to 0 or 1. On matching ontology obtained two tests using 40% SPARQL query. In the test it uses Jaro-Winkler distance with a value of 0.67. This research yields matching value between ontology A and ontology B which is the same so that reuse ontology can be done for better ontologyReferences
Arwan, A., Sidiq, M., Priyambadha, B., Kristianto, H., & Sarno, R. (2013). Ontology and semantic matching for diabetic food recommendations. International Conference on Information Technology and Electrical Engineering: “Intelligent and Green Technologies for Sustainable Developmentâ€, ICITEE 2013. Doi.org/10.1109/ICITEED.2013.6676233.
Caldarola, E. G., Rinaldi, A. M., Picariello, A., (2015). An Approach to Ontology Integration for Ontology Reuse in Knowledge Based Digital Ecosystems. Conference: The 7th International ACM Conference on Management of computational and collective IntElligence in Digital EcoSystems (ACM MEDES'15). Doi.org/ 10.1145/2857218.2857219.
Fernández-López, M., Gómez-Pérez, A., & Suárez-Figueroa, M. C. (2013). Methodological guidelines for reusing general ontologies. Data and Knowledge Engineering. Doi.org/10.1016/j.datak.2013.03.006.
Tudorache, T., Nyulas, C., Noy, N. F., & Musen, M. A. (2013). WebProtege: A collaborative ontology editor and knowledge acquisition tool for the web. Semantic Web. Doi.org/10.3233/SW-2012-0057.
Jain, V., & Singh, M. (2013). Ontology Based Information Retrieval in Semantic Web: A Survey. International Journal of Information Technology and Computer Science. Doi.org/10.5815/ijitcs.2013.10.06.
Kunaefi, A., & Sarno, R. (2013). Ontology Mapping for Erp Business Process. Seminar Nasional Teknologi Informasi Dan Multimedia. Ojs.amikom.ac.id/index.php/semnasteknomedia/article/view/616.
Gandon, F. L. (2013). Ontologies in Computer Science. Ontology Theory, Management and Design. Doi.org/10.4018/978-1-61520-859-3.ch001.
Hayuhardhika, W., Putra, N., Sugiyanto, Sarno, R., & Sidiq, M. (2013). Weighted Ontology and weighted tree similarity algorithm for diagnosing Diabetes Mellitus. International Conference on Computer, Control, Informatics and Its Applications: “Recent Challenges in Computer, Control and Informaticsâ€, IC3INA. Doi.org/10.1109/IC3INA.2013.6819185.
D. Corsar and D. Sleeman, “Reusing JessTab rules in Protégé,†AI 2005 SI. Doi.org/10.1016/j.knosys.2005.11.010.
Hazber, M. A. G., Li, R., Gu, X., Xu, G., & Li, Y. (2015). Semantic SPARQL Query in a Relational Database Based on Ontology Construction. 2015 11th International Conference on Semantics, Knowledge and Grids (SKG). Doi.org/10.1109/SKG.2015.14.
Kurz, T., Schlegel, K., & Kosch, P. H. (2015). Enabling Access to Linked Media with SPARQL-MM. Doi.org/10.1145/2740908.2742914.
Meditskos, G., Dasiopoulou, S., & Kompatsiaris, I. (2016). MetaQ: A knowledge-driven framework for context-aware activity recognition combining SPARQL and OWL 2 activity patterns. Pervasive and Mobile Computing. Doi.org/10.1016/j.pmcj.2015.01.007.
Chiba, H., & Uchiyama, I. (2017). SPANG: a SPARQL client supporting generation and reuse of queries for distributed RDF databases. BMC Bioinformatics. Doi.org/10.1186/s12859-017-1531-1.
Xiang, Z., Courtot, M., Brinkman, R. R., Ruttenberg, A., & He, Y. (2010). OntoFox: web-based support for ontology reuse. BMC Research Notes. Doi.org/10.1186/1756-0500-3-175.
Didih Rizki Chandranegara, Riyanarto Sarno. (2016). Ontology Alignment using Combined Similarity Method and Matching Method. Informatics and Computing (ICIC), International Conference on. DOI:10.1109/IAC.2016.7905722.
Sun, Y. (2015). A Comparative Evaluation of String Similarity Metrics for Ontology Alignment. Journal of Information and Computational Science. Doi.org/10.12733/jics20105420.
Zarembo, I., Teilans, A., Rausis, A., & Buls, J. (2015). Assessment of name based algorithms for land administration ontology matching. Procedia Computer Science. Doi.org/10.1016/j.procs.2014.12.008.
Drebler, K., & Ngomo, A. C. N. (2017). On the efficient execution of bounded Jaro-Winkler distances. Semantic Web. Doi.org/10.3233/SW-150209.
Maree, M., & Belkhatir, M. (2015). Addressing semantic heterogeneity through multiple knowledge base assisted merging of domain-specific ontologies. Knowledge-Based Systems. Doi.org/10.1016/j.knosys.2014.10.001.
www.w3.org/standards/semanticweb/ontology.
Euzenat, J., Shavaiko, P. (2010). Ontology matching second Edition. Dl.acm.org/citation.cfm?id=1951780.
Downloads
Published
Issue
Section
License
Authors who publish with Jurnal Informatika (JIFO) agree to the following terms:
- Â Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
Â
Â
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.