Facilitating Document Annotation Using Content & Querying Value

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2014 by IJCTT Journal
Volume-9 Number-4                          
Year of Publication : 2014
Authors : Akshay Shingote , Nikhil Vispute , Priyanka Dhikale
DOI :  10.14445/22312803/IJCTT-V9P139

MLA

Akshay Shingote , Nikhil Vispute , Priyanka Dhikale."Facilitating Document Annotation Using Content & Querying Value". International Journal of Computer Trends and Technology (IJCTT) V9(4):198-201, March 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Collections of huge, large textual data contains significant amount of structured information, which remains hidden in unstructured text. Relevant information is always difficult to find in these documents. In this paper we proposed an alternative approach that facilitates the generation of the structured metadata by identifying documents that are likely to contain information of interest and this information is going to be useful for querying the database. Here people will likely to assign metadata related to documents which they upload which will easily help the users in retrieving the documents.

References
[1]. Eduardo J. Ruiz, Vagelis Hristidis, Panagiotis G. Ipeirotis ,“Facilitating Document Annotation using Content and Querying Value”, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL.PP NO.99 2013.
[2] Vagelis Hristidis, Eduardo Ruiz,” CADS: A Collaborative Adaptive Data Sharing Platform”, School of Computing and Information Sciences, Florida International University.
[3] M. J. Cafarella, J. Madhavan, and A. Halevy, “Web-scale extraction of structured data,” SIGMOD Rec., vol. 37, pp. 55–61, March 2009.
[4] A. Halevy, Z. Ives, D. Suciu, and I. Tatarinov, “Schema mediation in peer data management systems,” in Data Engineering, 2003. Proceedings. 19th International Conference on, March 2003, pp. 505 – 516
[5] R. Fagin, A. Lotem, and M. Naor, “Optimal aggregation algorithms for middleware,” J. Comput. Syst. Sci., vol. 66, pp. 614–656, June 2003.

Keywords
Annotation, CADS, Information Extraction