IJSRSET calls volunteers interested to contribute towards the scientific development in the field of Science, Engineering and Technology

Home > IJSRSET151178                                                     

Ontology Based Recovery of Geographic Information Services


S. Nivedha, B. Sneha, Sonakshi Bhatoa, M. Gayathri
  • Abstract
  • Authors
  • Keywords
  • References
  • Details
In this paper, we efficiently analyze the trend of the disasters and minimize the consequent loss of data in future to manage expectations, clarity in scope and regular updates. So that false expectation is not created regarding potential use for which the system is not designed. A myriad of news and reports that are related to the disaster may be recorded in the form of text documents. Here we use the concept of Domain Ontology as a meaningful framework for semantic representation of textual information. The domain experts expect to obtain condensed information about the detailed disaster event description. We use multi document summarization technique sentence mapping to summarize multiple documents to get the condensed information and we use KPI algorithm to increase the efficiency to recover document.

S. Nivedha, B. Sneha, Sonakshi Bhatoa, M. Gayathri

Disaster management, multi-document summarization, ontology, KPI-key performance indicator.

'[1] D. Radev, H. Jing, M. Sty, and D. Tam, “Centroid-based summarization of multiple documents,” Inf. Process. Manage., vol. 40, no. 6, pp. 919–938, 2004.
[2] V. Nastase, “Topic-driven multi-document summarization with encyclopedic knowledge and spreading activation,” in Proc. EMNLP, 2008, pp. 763–772.
[3] C. Lee, Z. Jian, and L. Huang, “A fuzzy ontology and its application to news summarization,” IEEE Trans. Syst., Man, Cybern., B Cybern., vol. 35, no. 5, pp. 859–880, Oct. 2005.
[4] H. Saggion, K. Bontcheva, and H. Cunningham, “Robust generic and query-based summarisation,” in Proc. ECAL, 2003, pp. 235–238.
[5] F. Wei, W. Li, Q. Lu, and Y. He, “Query-sensitive mutual reinforcement chain and its application in query-oriented multi-document summarization,” in Proc. SIGIR, 2008, pp.  283–290.
[6] X. Wan, J. Yang, and J. Xiao, “Manifold-ranking based topic focused multi-document summarization,” in Proc. IJCAI, 2007, pp. 2903–2908.
[7] O.H. Ibarra and C.E. Kim, “Heuristic Algorithms for Scheduling Independent Tasks on Nonidentical Processors,” J. ACM, vol. 24, pp. 280-289, Apr. 1977.
[8] X. Meng et al., “Efficient Resource Provisioning in Compute Clouds via vm Multiplexing,” Proc. IEEE Seventh Int’l Conf. Autonomic Computing (ICAC ’10), pp. 11-20, 2010.
[9] J. Sonneck and A. Chandra, “Virtual Putty: Reshaping the Physical Footprint of Virtual Machines,” Proc. Int’l HotCloud Workshop in Conjunction with USENIX Ann. Technical Conf., 2009.
[10] D. Gupta et al., “Difference Engine: Harnessing Memory Redundancy in Virtual Machines,” Proc. Eighth Int’l USENIX Symp. Operating Systems Design and Implementation, pp. 309-322,2008.
[11] O. Sinnen, Task Scheduling for Parallel Systems, Wiley Series on Parallel and Distributed Computing. Wiley-Interscience, 2007.
[12] E. Klien, M. Lutz, and W. Kuhn, “Ontology-based discovery of geographic information services—An application in disaster management,” Comput., Environ. Urban Syst., vol. 30, no. 1, pp. 102–123, 2006.
[13] H. Hsu, C. Tsai, M. Chiang, and C. Yang, “Topic generation for web document summarization,” in Proc. IEEE SMC, 2008, pp. 3702–3707
[14] X. Yong-dong, W. Xiao-long, L. Tao, and X. Zhi-ming, “Multi-document summarization based on rhetorical structure: Sentence extraction and evaluation,” in Proc. IEEE SMC, 2008, pp. 3034–3039.
[15] L. Zheng, C. Shen, L. Tang, T. Li, S. Luis, S. Chen, and V. Hristidis, “Using data mining techniques to address critical information exchange needs in disaster affected public-private networks,” in Proc. SIGKDD, 2010, pp. 125–134.

Publication Details

Published in : Volume 1 | Issue 2 | March-April - 2015
Date of Publication Print ISSN Online ISSN
2015-04-25 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
23-26 IJSRSET151178   Technoscience Academy

Cite This Article

S. Nivedha, B. Sneha, Sonakshi Bhatoa, M. Gayathri , "Ontology Based Recovery of Geographic Information Services", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 2, pp.23-26, March-April-2015.
URL : http://ijsrset.com/IJSRSET151178.php

Thomson Reuters

Search Your Article


Impact Factor