Ontology-based semantic retrieval for engineering domain knowledge

Neurocomputing

Volumn 116, Issue , 2013, Pages 382-391

  Zhang, Xutang ^a   Hou, Xin ^a   Chen, Xiaofeng ^a   Zhuang, Ting ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Document clustering; Knowledge retrieval; Latent semantic analysis; Ontology

Indexed keywords

DOCUMENT CLUSTERING; ENGINEERING ACTIVITIES; ENGINEERING DOMAINS; HIERARCHICAL SEARCHING; KNOWLEDGE RETRIEVAL; LATENT SEMANTIC ANALYSIS; QUERY SEMANTIC EXTENSIONS; SEARCH AND RETRIEVAL;

GRAPHIC METHODS; ONTOLOGY; PRODUCT DESIGN; QUERY PROCESSING; SEMANTICS; WEBSITES;

INFORMATION RETRIEVAL;

ARTICLE; DATA PROCESSING; EXPERIMENTAL DESIGN; FEEDBACK SYSTEM; INFORMATION RETRIEVAL; MACHINE LEARNING; PRIORITY JOURNAL; QUERY SEMANTIC EXTENSION; QUERY SEMANTIC RETRIEVAL;

EID: 84878487567     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.12.057     Document Type: Article

References (23)

1. Yiyu Yao, Yi Zeng, Ning Zhong, Xiangji Huang, Knowledge retrieval (KR), in: IEEE/WIC/ACM International Conference on Web Intelligence (WI'07), 2007, pp. 729-735.
2. Tao Xiaohui, Li Yuefeng, Nayak Richi A knowledge retrieval model using ontology mining and user profiling. Integr. Comp.-Aided Eng. 2008, 15(4):313-329.
3. Michel Beigbeder, Annabelle Mercier, An information retrieval model using the fuzzy proximity degree of term occurences, in: Proceedings of the 2005 ACM Symposium on Applied Computing, March 1317, Santa Fe,NM, USA.
4. Castells P., Fernandez M., Vallet D. An Adaptation of the vector-space model for ontology-based information retrieval. IEEE Trans. Knowl. Data Eng. 2007, 19(2):261-272.
5. Zhou L. Ontology learning: state of the art and open issues. Inf. Technol. Manage. 2007, 8(3):241-252.
6. Chakrabarty S., Chougule R., Lesperance R.M. Ontology-guided knowledge retrieval in an automobile assembly environment. Int. J. Adv. Manuf. Technol. 2009, 44(11-12):1237-1249.
7. Gu N., Xu J., Wu X.Y., Yang J.M., Ye W. Ontology based semantic conflicts resolution in collaborative editing of design documents. Adv. Eng. Inf. 2005, 19(2):103-111.
8. Patil L., Tta D.D., D.Sriram R. Ontology-based exchange of product data semantics. IEEE Trans. Autom. Sci. Eng. 2005, 2(3):2132-2251.
9. Li Z. Ontology-based design information extraction and retrieval, artificial intelligence for engineering design. Anal. Manuf. 2007, 21:137-154.
10. Niaraki A.S., Kim K. Ontology-based personalized route planning system using a multi-criteria decision making approach. Expert Syst. Appl. 2009, 36(2):2250-2259.
11. Vallet David Miriam Fernández and Pablo-castells, an Ontology-based information retrieval model. Lect. Notes Comput. Sci. 2005, 3532/2005:103-110.
12. Zhanjun Li, Victor Raskin, Karthik Ramani,2007 Developing ontologes for engineering information retrieval, in: Proceedings of the ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, pp. 2-9.
13. Zhang Y.B., Chen T.D., Liu Z.Y. The design of knowledge retrieval framework based on ontology and multi-agent. Proceedings of 2008 International Pre-Olympic Congress on Computer Science 2008, 1:183-186.
14. Hou, X., Ong, S.K., Nee, A.Y.C., Zhang, X.T., and Liu, W.J., Graonto: a graph-based approach for automatic construction of domain ontology, expert systems with applications, accepted manuscript available online:. http://dx.doi.org/10.1016/j.eswa.2011.03.090.
15. Wei C.P., Yang C.C., Lin C.M. A latent semantic indexing-based approach to multilingual document clustering. Decis. Support Syst. 2008, 45(3):606-620.
16. Gao J., Zhang J. Clustered SVD strategies in latent semantic indexing, Information Processing and Management 2005, 41:1051-1063.
17. Schaeffer S.E. Graph clustering, Comp. Sci. Rev. 2007, 1(1):27-64.
18. Schaeffer S.E. Process. Manage. 2005, 41(5):1051-1063.
19. Xu A.W. A fast and exact algorithm for the median of three problem-a graph decomposition approach. Compar. Genom. Proc. 2008, 5267:184-197.
20. Chen M.Y., Chu H.C., Chen Y.M. Developing a semantic-enable information retrieval mechanism. Expert Syst. Appl. 2010, 37(1):322-340.
21. Proceedings of the 13th Text retrieval Conference. , 2004. http://trec.nist.gov/%20pubs/%20trec13/%20appendices/%20CE.MEASURES.pdf.
22. Shilane P., Min P., Kazhdan M., Funkhouser T. The Princeton shape benchmark. Proceedings of Shape Modeling International 2004, 167-178.
23. Mcsherry F.,M.Najork Computing information retrieval performance measures efficiently in the presence of tied scores. Lect. Notes Comput. Sci. 2008, 4956:414-421.