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Authors: S. F. J. Otten and M. R. Spruit

Affiliation: Institute of Information an Computer Sciences and Utrecht University, Netherlands

Keyword(s): Business intelligence, Linguistic engineering, Social network, Knowledge discovery, Unstructured data, Framework.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Information Extraction ; Integration of Data Warehousing and Data Mining ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Methodologies and Technologies ; Mining Text and Semi-Structured Data ; Operational Research ; Optimization ; Structured Data Analysis and Statistical Methods ; Symbolic Systems

Abstract: This paper investigates how linguistic techniques on unstructured text data can contribute to business intelligence processes. Through a literature study covering 99 relevant papers, we identified key business intelligence techniques such as text mining, social mining and opinion mining. The Linguistic Engineering for Business Intelligence (LEBI) framework incorporates these techniques and can be used as a guide or reference for combining techniques on unstructured and structured data.

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Paper citation in several formats:
Otten, S. and Spruit, M. (2011). LINGUISTIC ENGINEERING AND ITS APPLICABILITY TO BUSINESS INTELLIGENCE - Towards an Integrated Framework. In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2011) - KDIR; ISBN 978-989-8425-79-9; ISSN 2184-3228, SciTePress, pages 452-456. DOI: 10.5220/0003661704600464

@conference{kdir11,
author={S. F. J. Otten. and M. R. Spruit.},
title={LINGUISTIC ENGINEERING AND ITS APPLICABILITY TO BUSINESS INTELLIGENCE - Towards an Integrated Framework},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2011) - KDIR},
year={2011},
pages={452-456},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003661704600464},
isbn={978-989-8425-79-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2011) - KDIR
TI - LINGUISTIC ENGINEERING AND ITS APPLICABILITY TO BUSINESS INTELLIGENCE - Towards an Integrated Framework
SN - 978-989-8425-79-9
IS - 2184-3228
AU - Otten, S.
AU - Spruit, M.
PY - 2011
SP - 452
EP - 456
DO - 10.5220/0003661704600464
PB - SciTePress