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Authors: Abduladem Aljamel ; Taha Osman and Giovanni Acampora

Affiliation: Nottingham Trent University, United Kingdom

Keyword(s): Information Extraction, Relation Extraction, Knowledge-Base, Supervised Machine Learning, Natural Language Processing, Semantic Web.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Soft Computing ; Symbolic Systems

Abstract: The increasing accessibility and availability of online data provides a valuable knowledge source for information analysis and decision-making processes. In this paper we argue that extracting information from this data is better guided by domain knowledge of the targeted use-case and investigate the integration of a knowledge-driven approach with Machine Learning techniques in order to improve the quality of the Relation Extraction process. Targeting the financial domain, we use Semantic Web Technologies to build the domain Knowledgebase, which is in turn exploited to collect distant supervision training data from semantic linked datasets such as DBPedia and Freebase. We conducted a serious of experiments that utilise the number of Machine Learning algorithms to report on the favourable implementations/configuration for successful Information Extraction for our targeted domain.

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Paper citation in several formats:
Aljamel, A.; Osman, T. and Acampora, G. (2015). Domain-Specific Relation Extraction - Using Distant Supervision Machine Learning. In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KDIR; ISBN 978-989-758-158-8; ISSN 2184-3228, SciTePress, pages 92-103. DOI: 10.5220/0005615100920103

@conference{kdir15,
author={Abduladem Aljamel. and Taha Osman. and Giovanni Acampora.},
title={Domain-Specific Relation Extraction - Using Distant Supervision Machine Learning},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KDIR},
year={2015},
pages={92-103},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005615100920103},
isbn={978-989-758-158-8},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KDIR
TI - Domain-Specific Relation Extraction - Using Distant Supervision Machine Learning
SN - 978-989-758-158-8
IS - 2184-3228
AU - Aljamel, A.
AU - Osman, T.
AU - Acampora, G.
PY - 2015
SP - 92
EP - 103
DO - 10.5220/0005615100920103
PB - SciTePress