International Journal of Advanced and Applied Sciences
Int. j. adv. appl. sci.
EISSN: 2313-3724
Print ISSN:2313-626X
Volume 3, Issue 8 (August 2016), Pages: 1-6
Title: An Advanced ontology based automatic approach in improving the similarity by means of combining the sub‐graphs between the information
Authors: K. L. Sumathy *, M. Chidambaram
Affiliations:
1Research Center, Bharathiyar University, Coimbatore, India
2Rajah Serfoji Govt. College, Thanjavur, Tamil Nadu, India
http://dx.doi.org/10.21833/ijaas.2016.08.001
Abstract:
In this research an advanced and automatic approach in finding the new products which are similar to the previous one that results in a rapid experience in production of design of manufacturing procedure of the new product has been proposed. The proposed work is based on advanced ontology based semantic model which computes similarity between the sub-graphs in an effective manner. It builds a hierarchical structure by means of new similarity index that forms by overlapping sub-graph of existing two product concepts. By means of stored data the similarity measurement is calculated by matching the similar characteristics with the new one that helps in discovering knowledge. The examined result with the real-time data shows minimum computation cost along with high processing speed in similarity according to the global environment. Thus proves the proposed scheme is far better than other existing similarity approaches.
© 2016 The Authors. Published by IASE.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Information retrieval, Manufacturing systems, Knowledge modeling, Semantic similarity and ontology
Article History: Received 22 June 2016, Received in revised form 5 August 2016, Accepted 5 August 2016
Digital Object Identifier: http://dx.doi.org/10.21833/ijaas.2016.08.001
Citation:
Sumathy KL and Chidambaram M (2016). An Advanced ontology based automatic approach in improving the similarity by means of combining the sub‐graphs between the information. International Journal of Advanced and Applied Sciences, 3(8): 1-6
http://www.science-gate.com/IJAAS/V3I8/Sumathy.html
References:
| Agosti M, Melucci M and Crestani F (1995). Automatic authoring and construction of hypermedia for information retrieval. Multimedia Systems, 3(1): 15-24. http://dx.doi.org/10.1007/BF01236576 |
||||
| Badder F, Calvanese D, McGuinness DL, Nardi D and Patel-Schneider PF (2003). The description logic handbook: Theory, Implementation and Applications. Cambridge University Press, Cambridge, United Kingdom. | ||||
| Bouzid S, Cauvet C, Frydman C and Pinaton J (2013). A semantic support to improve the collaborative control of manufacturing processes in industries. In Computer Supported Cooperative Work in Design (CSCWD), 2013 IEEE 17th International Conference on, Whistler, BC, Canada: 433-438. http://dx.doi.org/10.1109/cscwd.2013.6581002 |
||||
| Bruno G (2015a). Measuring product semantic similarity by exploiting a manufacturing process ontology. In Industrial Engineering and Systems Management (IESM), 2015 International Conference on, Seville, Spain: 1251-1257. http://dx.doi.org/10.1109/iesm.2015.7380313 |
||||
| Bruno G (2015b). Semantic organization of product lifecycle information through a modular ontology. International Journal of Circuits, Systems and Signal Processing, 9: 16-26. | ||||
| Bruno G, Antonelli D, Korf R, Lentes J and Zimmermann N (2014). Exploitation of a semantic platform to store and reuse plm knowledge. In IFIP International Conference on Advances in Production Management Systems, Springer Berlin Heidelberg, 438: 59–66. http://dx.doi.org/10.1007/978-3-662-44739-0_8 |
||||
| Chang X, Sahin A and Terpenny J (2008). An ontology-based support for product conceptual design. Robotics and Computer-Integrated Manufacturing, 24(6): 755-762. http://dx.doi.org/10.1016/j.rcim.2008.03.004 |
||||
| Denkena B, Shpitalni M, Kowalski P, Molcho G and Zipori Y (2007). Knowledge management in process planning. CIRP Annals-Manufacturing Technology, 56(1): 175-180. http://dx.doi.org/10.1016/j.cirp.2007.05.042 |
||||
| Efthymiou K, Sipsas K, Mourtzis D and Chryssolouris G (2015). On knowledge reuse for manufacturing systems design and planning: A semantic technology approach. CIRP Journal of Manufacturing Science and Technology, 8: 1-11. http://dx.doi.org/10.1016/j.cirpj.2014.10.006 |
||||
| ElMaraghy HA (2005). Flexible and reconfigurable manufacturing systems paradigms. International Journal of Flexible Manufacturing Systems, 17(4): 261-276. http://dx.doi.org/10.1007/s10696-006-9028-7 |
||||
| Fortineau V, Paviot T, Louis-Sidney L and Lamouri S (2012). SWRL as a rule language for ontology-based models in power plant design. In IFIP International Conference on Product Lifecycle Management. Springer Berlin Heidelberg: 588-597 http://dx.doi.org/10.1007/978-3-642-35758-9_53 |
||||
| Groover MP (2007). Fundamentals of modern manufacturing: materials processes, and systems. John Wiley & Sons, New Jersey, USA. | ||||
| Huang N and Diao S (2008). Ontology-based enterprise knowledge integration. Robotics and Computer-Integrated Manufacturing, 24(4): 562-571. http://dx.doi.org/10.1016/j.rcim.2007.07.007 |
||||
| Knappe R, Bulskov H and Andreasen T (2003, October). Similarity graphs. In International Symposium on Methodologies for Intelligent Systems, Springer Berlin Heidelberg: 668-672 http://dx.doi.org/10.1007/978-3-540-39592-8_97 |
||||
| Kolte SG and Bhirud SG (2009). WordNet: a knowledge source for word sense disambiguation. International Journal of Recent Trends in Engineering, 2(4): 213-217. | ||||
| Lopez V, Fernández M, Motta E and Stieler N (2012). Poweraqua: Supporting users in querying and exploring the semantic web. Semantic Web, 3(3): 249-265. | ||||
| Lowe A, McMahon C and Culley S (2004). Information access, storage and use by engineering designers, part 1. The Journal of the Institution of Engineering Designers, 30(2): 30-32. | ||||
| Papakostas N, Efthymiou K, Chryssolouris G, Stanev S, Ovtcharova J, Schäfer K and Eytan A (2010). Assembly process templates for the automotive industry. In 3rd CIRP Conference on Assembly Technologies and Systems, Trondheim, Norway: 151-156. | ||||
| Ponzetto SP and Strube M (2007). Deriving a large scale taxonomy from Wikipedia. In AAAI-07, 22nd International Conference on Artificial Intelligence, Vancouver, British Columbia, Canada,: 1440-1445. | ||||
| Rau LF (1987). Knowledge organization and access in a conceptual information system. Information Processing and Management, 23(4): 269-283. http://dx.doi.org/10.1016/0306-4573(87)90018-5 |
||||
| T Liao TW, Zhang Z and Mount CR (1998). Similarity measures for retrieval in case-based reasoning systems. Applied Artificial Intelligence, 12(4): 267-288. http://dx.doi.org/10.1080/088395198117730 |
||||
| Teng Z, Guo M, Liu X, Dai Q, Wang C and Xuan P (2013). Measuring gene functional similarity based on group-wise comparison of GO terms. Bioinformatics, 29(11): 1424–1432. http://dx.doi.org/10.1093/bioinformatics/btt160 PMid:23572412 |
||||