A Novel Framework to Represent Documents using a Semantically-grounded Graph Model

Antonio M. Rinaldi, Cristiano Russo

2018

Abstract

As an increasing number of text-based documents, whose complexity increases in turn, are available over the Internet, it becomes obvious that handling such documents as they are, i.e. in their original natural-language based format, represents a daunting task to face up for computers. Thus, some methods and techniques have been used and refined, throughout the last decades, in order to transform the digital documents from the full text version to another suitable representation, making them easier to handle and thus helping users in getting the right information with a reduced algorithmic complexity. One of the most spread solution in document representation and retrieval has consisted in transforming the full text version into a vector, which describes the contents of the document in terms of occurrences patterns of words. Although the wide adoption of this technique, some remarkable drawbacks have been soon pointed out from the researchers’ community, mainly focused on the lack of semantics for the associated terms. In this work, we use WordNet as a generalist linguistic database in order to enrich, at a semantic level, the document representation by exploiting a label and properties based graph model, implemented in Neo4J. This work demonstrates how such representation allows users to quickly recognize the document topics and lays the foundations for cross-document relatedness measures that go beyond the mere word-centric approach.

Paper Citation

in Harvard Style

Rinaldi A. and Russo C. (2018). A Novel Framework to Represent Documents using a Semantically-grounded Graph Model. In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 1: KDIR; ISBN 978-989-758-330-8, SciTePress, pages 203-211. DOI: 10.5220/0006932502030211

in Bibtex Style

@conference{kdir18,
author={Antonio M. Rinaldi and Cristiano Russo},
title={A Novel Framework to Represent Documents using a Semantically-grounded Graph Model},
booktitle={Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 1: KDIR},
year={2018},
pages={203-211},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006932502030211},
isbn={978-989-758-330-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 1: KDIR
TI - A Novel Framework to Represent Documents using a Semantically-grounded Graph Model
SN - 978-989-758-330-8
AU - Rinaldi A.
AU - Russo C.
PY - 2018
SP - 203
EP - 211
DO - 10.5220/0006932502030211
PB - SciTePress