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Authors: Zhongguang Zheng ; Yingju Xia ; Lu Fang ; Yao Meng and Jun Sun

Affiliation: Fujitsu R&D Center CO., LTD., Beijing and China

Keyword(s): Linked Data, Web, Property Value Extraction.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Knowledge Acquisition ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Symbolic Systems

Abstract: In this paper, we describe our approach of automatically extracting property-value pairs from the Web for organizations when only the name and address information are known. In order to explore the enormous knowledge from the Web, we first retrieve the Web pages containing organization properties by search engine, and then automatically extract the property-value pairs regardless of heterogeneous Web page structures. Our method does not require any training data or human-made template. We have constructed an organization knowledge base containing 3 million entities extracted from the Web for 4.2 million organizations which only have name and address information. The experiment shows that our approach makes it possible and effective for people to construct their own knowledge base.

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Paper citation in several formats:
Zheng, Z.; Xia, Y.; Fang, L.; Meng, Y. and Sun, J. (2018). Harvesting Organization Linked Data from the Web. In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - KEOD; ISBN 978-989-758-330-8; ISSN 2184-3228, SciTePress, pages 159-166. DOI: 10.5220/0006888101590166

@conference{keod18,
author={Zhongguang Zheng. and Yingju Xia. and Lu Fang. and Yao Meng. and Jun Sun.},
title={Harvesting Organization Linked Data from the Web},
booktitle={Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - KEOD},
year={2018},
pages={159-166},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006888101590166},
isbn={978-989-758-330-8},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - KEOD
TI - Harvesting Organization Linked Data from the Web
SN - 978-989-758-330-8
IS - 2184-3228
AU - Zheng, Z.
AU - Xia, Y.
AU - Fang, L.
AU - Meng, Y.
AU - Sun, J.
PY - 2018
SP - 159
EP - 166
DO - 10.5220/0006888101590166
PB - SciTePress

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