International Journal of Computer
Trends and Technology

Research Article | Open Access | Download PDF

Volume 9 | Number 1 | Year 2014 | Article Id. IJCTT-V9P139 | DOI : https://doi.org/10.14445/22312803/IJCTT-V9P139

Facilitating Document Annotation Using Content & Querying Value

Akshay Shingote , Nikhil Vispute , Priyanka Dhikale

Citation :

Akshay Shingote , Nikhil Vispute , Priyanka Dhikale, "Facilitating Document Annotation Using Content & Querying Value," International Journal of Computer Trends and Technology (IJCTT), vol. 9, no. 1, pp. 198-201, 2014. Crossref, https://doi.org/10.14445/22312803/ IJCTT-V9P139

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.

Keywords

Annotation, CADS, Information Extraction

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.