i-SLOD: Towards an Infrastructure for Enabling the Dissemination and Analysis of Sentiment Data

Rafael Berlanga, Dolores Mª Llidó, Lisette García, Victoria Nebot, María José Aramburu, Ismael Sanz

2013

Abstract

This paper proposes a new data infrastructure for massive opinion analysis, called i-SLOD, from a Business Intelligence (BI) perspective. This infrastructure aims to allow analysts to re-use the existing review data about products and services publicly available in the Web. It should also take advantage from the external relationships of i-SLOD data in order to perform new exploratory analyses now unfeasible with traditional BI tools. We consider the adoption of Linked Open Data (LOD) technology to build this infrastructure. In this way, i-SLOD data will be published as distributed linked open data by using the RDF and OWL formats. Moreover, we propose to apply automatic semantic annotation to perform the basic tasks in i-SLOD, mainly the extraction of opinion facts from raw text, and linking opinion data to the i-SLOD and other related LOD datasets.

Paper Citation

in Harvard Style

Berlanga R., Mª Llidó D., García L., Nebot V., José Aramburu M. and Sanz I. (2013). i-SLOD: Towards an Infrastructure for Enabling the Dissemination and Analysis of Sentiment Data . In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing - Volume 1: KDIR, (IC3K 2013) ISBN 978-989-8565-75-4, pages 214-219. DOI: 10.5220/0004627902140219

in Bibtex Style

@conference{kdir13,
author={Rafael Berlanga and Dolores Mª Llidó and Lisette García and Victoria Nebot and María José Aramburu and Ismael Sanz},
title={i-SLOD: Towards an Infrastructure for Enabling the Dissemination and Analysis of Sentiment Data},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing - Volume 1: KDIR, (IC3K 2013)},
year={2013},
pages={214-219},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004627902140219},
isbn={978-989-8565-75-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing - Volume 1: KDIR, (IC3K 2013)
TI - i-SLOD: Towards an Infrastructure for Enabling the Dissemination and Analysis of Sentiment Data
SN - 978-989-8565-75-4
AU - Berlanga R.
AU - Mª Llidó D.
AU - García L.
AU - Nebot V.
AU - José Aramburu M.
AU - Sanz I.
PY - 2013
SP - 214
EP - 219
DO - 10.5220/0004627902140219