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Mining Various Semantic Relationships from Unstructured User-Generated Web Data

31 Pages Posted: 5 Jul 2018 First Look: Accepted

See all articles by Pei-Ling Hsu

Pei-Ling Hsu

National Tsing Hua University - Institute of Information Systems and Applications

Hsiao-Shan Hsieh

National Tsing Hua University - Institute of Information Systems and Applications

Jheng-He Liang

National Tsing Hua University - Institute of Information Systems and Applications

Yi-Shin Chen

National Tsing Hua University - Institute of Information Systems and Applications

Abstract

With the emergence of Web 2.0, the amount of user-generated web data has sharply increased. Thus, many studies have proposed techniques to extract wisdom from these user-generated datasets. Some of these works have focused on extracting semantic relationships through the use of search logs or social annotations, but only hierarchical relationships have been considered. The goal of this paper is to detect various semantic relationships (hierarchical and non-hierarchical) between concepts using search logs and social annotations. The experimental results demonstrate that our proposed approach constructs adequate relationships.

Keywords: Semantic relationships, search logs, social annotations, large-scale Web data

Suggested Citation

Hsu, Pei-Ling and Hsieh, Hsiao-Shan and Liang, Jheng-He and Chen, Yi-Shin, Mining Various Semantic Relationships from Unstructured User-Generated Web Data (2015). Journal of Web Semantics First Look. Available at SSRN: https://ssrn.com/abstract=3199179 or http://dx.doi.org/10.2139/ssrn.3199179

Pei-Ling Hsu (Contact Author)

National Tsing Hua University - Institute of Information Systems and Applications ( email )

No. 101, Section 2
Kuang-Fu Road
Hsinchu, 30013
Taiwan

Hsiao-Shan Hsieh

National Tsing Hua University - Institute of Information Systems and Applications ( email )

No. 101, Section 2
Kuang-Fu Road
Hsinchu, 30013
Taiwan

Jheng-He Liang

National Tsing Hua University - Institute of Information Systems and Applications ( email )

No. 101, Section 2
Kuang-Fu Road
Hsinchu, 30013
Taiwan

Yi-Shin Chen

National Tsing Hua University - Institute of Information Systems and Applications ( email )

No. 101, Section 2
Kuang-Fu Road
Hsinchu, 30013
Taiwan

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