S. Ambareesh, Thejaswani T Rao, D. C. Jayalakshmi, Vemana Institute of Technology, Bangalore, India.
DOI : 01.0401/ijaict.2014.07.06
International Journal of Advanced Information and Communication Technology
Received On : July 12, 2016
Revised On : August 22, 2016
Accepted On : September 17, 2016
Published On : October 05, 2016
Volume 03, Issue 10
Pages : 564-568
Abstract
There are many application domains where users create and share information. Extraction algorithms facilitate the extraction of structured relations, which are often expensive and inaccurate, especially when operating on top of text that does not contain any instances of the targeted structured information. We present a novel 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 subsequently useful for querying the database. Our approach relies on the idea that humans are more likely to add the necessary metadata during creation time. As a major contribution of this paper, we present algorithms that identify structured attributes that are likely to appear within the document, by jointly utilizing the content of the text and the query workload.
Keywords
Attributes Suggestion, Annotation, Datasets.
Cite this article
S. Ambareesh, Thejaswani T Rao, D. C. Jayalakshmi, “Annotating the Document using Content and Querying Value” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp.564-568, October 05, 2016.
Copyright
© 2016 S. Ambareesh, Thejaswani T Rao, D. C. Jayalakshmi. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.