Asian Journal of Information Technology
ISSN: Online 1993-5994ISSN: Print 1682-3915
Abstract
Most of information retrieval and text summarization methods does not describing about the semantics of events and these methods rely only on shallow document representation. The current problem of Information retrieval is that query given by the user is not the same as the one by which the information has been indexed. It is exceptionally hard to locate the required data and relevant document. Hence, structuring the queries and documents in terms of event graph using supervised machine learning and rule based model and employ graph kernels for query document similarity.
How to cite this article:
P. Janarthanan and V. Ramachandran. An Event Graph Based Document Representation for Information Retrieval and Summarazing the Text Based on Events.
DOI: https://doi.org/10.36478/ajit.2016.3531.3537
URL: https://www.makhillpublications.co/view-article/1682-3915/ajit.2016.3531.3537