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A Review on Document Annotation Technique

Published on December 2015 by Priyanka Channe, Bhagyashree Dhakulkar
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National Conference on Advances in Computing
Foundation of Computer Science USA
NCAC2015 - Number 4
December 2015
Authors: Priyanka Channe, Bhagyashree Dhakulkar
9b22395d-dac1-414c-98b9-06e9f56e9512

Priyanka Channe, Bhagyashree Dhakulkar . A Review on Document Annotation Technique. National Conference on Advances in Computing. NCAC2015, 4 (December 2015), 19-22.

@article{
author = { Priyanka Channe, Bhagyashree Dhakulkar },
title = { A Review on Document Annotation Technique },
journal = { National Conference on Advances in Computing },
issue_date = { December 2015 },
volume = { NCAC2015 },
number = { 4 },
month = { December },
year = { 2015 },
issn = 0975-8887,
pages = { 19-22 },
numpages = 4,
url = { /proceedings/ncac2015/number4/23380-5046/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advances in Computing
%A Priyanka Channe
%A Bhagyashree Dhakulkar
%T A Review on Document Annotation Technique
%J National Conference on Advances in Computing
%@ 0975-8887
%V NCAC2015
%N 4
%P 19-22
%D 2015
%I International Journal of Computer Applications
Abstract

Many Computer applications enable to enter the annotations on, presentations, text documents etc. It is an effectiveuse of computers in a social work environment to modify andscrutinywork. To present a unique accession that facilitates the procreation of the systematic metadata by recognizes documents which contain the information of scrutiny and this information is used for querying the database consequently. If the system allows the users to annotate the data with keywords pairs, the users are unready to perform the particular function. The function not only requires appreciable drill, but it has unclear usualness for consequent searches. In this system even if itproduces all relevant annotations, a large number of such annotations may also give something to the user who must examine, modify, and approve all the suggestions. To provide the security from searching query at the time when the user will try to download the important data. For resolving issue of data security to add a new approach of cryptography while user wants to download whole information. For this, to maintain a log of user, tocheck authentication of user before download information successfully.

References
  1. M. J. Cafarella, A. Halevy and J. Madhavan, "Web-scale extraction of structured data," SIGMOD Rec. , vol. 37, pp. 55– 61, March 2009.
  2. E. Chu, A. Baid,A. Doan, J. Naughton, and X. Chai, "Combining Keyword Search and Forms for Ad Hoc Querying of Databases", Proc. ACM SIGMOD Int'l Conference Management Data, 2009.
  3. H. Jagadish and M. Jayapandian, "Expressive Query Specification through Form Customization", Proc. 11th Int'l Conference Extending Database Technology: Advances in Database Technology (EDBT '08), pp. 416-427, 2008.
  4. S. R. Jeffery, A. Y. Halevy and M. J. Franklin "Pay-as- You-Go User Feedback for Dataspace Systems," Proc. ACM SIGMOD Int'l Conference Management Data, 2008.
  5. P. G. Ipeirotis and A. Jain, "A Quality-Aware Optimizer for Information Extraction," ACM Transactions Database Systems, Vol. 34, article 5, 2009.
  6. Y. Song, J. Li, W. -C. Lee, C. L. Giles Z. Zhuang, H. Li and Q. Zhao, "Real-Time Automatic Tag Recommendation," Proc. 31st Ann. Int'l ACM SIGIR Conference Research and Development in Information Retrieval (SIGIR '08), pp. 515 522,2008.
  7. SAP,SapContentManager,https://www. sdn. sap. com/irj/sdn/nw-cm, 2011.
  8. R. VanZwol and B. Sigurbjo rnsson, "Flickr Tag Recommendation Based on Collective Knowledge", Proc. 17th Int'l Conference World Wide Web (WWW,'08), pp. 327-336, 2008.
  9. E. J. Ruiz, V. Hristidis and P. G. Ipeirotis, "Facilitating Document Annotation using Content and Querying Value" Proc. IEEE Transactions On Knowledge And Data Engineering Vol. 26 NO. 2,FEB 2014.
  10. M. Jayapandian and H. V. Jagadish, "Automated Creation of a Forms-Based Database Query Interface," Proc. VLDBEndowment, vol. 1,pp. 695-709,Aug. 2008.
  11. K. C. -C. Chang and S. -w. Hwang, "Minimal Probing: Supporting Expensive Predicates for Top-K Queries," Proc. ACM SIGMOD Int'l Conference Management Data, 2002.
  12. "Google," Google Base, http://www. google. com/base, 2011.
  13. K. Chen, J. M. Hellerstein,T. S. Parikh, H. Chen and N. Conway, "Usher: Improving Data Quality with Dynamic Forms," Proc. IEEE 26th Int'l Conference Data Engineering (ICDE), 2010.
  14. J. Banerjee,H. -J. Kim and H. F. Korth and W. Kim, "Semantics and Implementation of Schema Evolution in Object-Oriented Databases," Proc. ACM SIGMOD Int'l Conference Management Data, 1987.
  15. D. Liu, M. Wang, H. -J. Zhang, X. -S. Hua and L. Yang, , "Tag Ranking," Proc. 18th Int'l Conference World Wide Web (WWW), 2009.
  16. R. Fagin,M. Naor and A. Lotem, "Optimal Aggregation Algorithms for Middleware," J. Computer Systems Sciences, Vol. 66, pp. 614656, June 2003.
  17. L. Hong, D. Yin, Z. Xue and B. D. Davison, "A Probabilistic Model for Personalized Tag Prediction," Proc. ACM SIGKDD Int'l Conference Knowledge Discovery Data Mining, 2010.
  18. A. Halevy, M. Franklin and D. Maier, "From Databases to Dataspaces: A New Abstraction for Information Management," SIGMOD Record, vol. 34, pp. 27-33, Dec 2005.
  19. W. B. Croft and J. M. Point, "A Language Modeling Approach to Information Retrieval," Proc. 21st Ann. Int'l ACM SIGIR Conference Research and Development in Information Retrieval, pp. 275-281, 1998.
  20. J. Madhavan et al. , "Web-Scale Data Integration: You Can Only Afford to Pay as You Go", Proc. Third Biennial Conference Innovative Data Systems Research (CIDR), 2007.
Index Terms

Computer Science
Information Sciences

Keywords

Document Annotation Collaborative Platforms Attribute Suggestion Information Extraction Document Retrieval