Issue No. 05 - May (2017 vol. 29)
Jinyoung Yeo , Department of Computer Science and Engineering, POSTECH, Pohang, Gyeongbuk, Korea
Hyunsouk Cho , Department of Computer Science and Engineering, POSTECH, Pohang, Gyeongbuk, Korea
Jin-Woo Park , Department of Computer Science and Engineering, POSTECH, Pohang, Gyeongbuk, Korea
Seung-won Hwang , Department of Computer Science, Yonsei University, Seodaemun-gu, Seoul, Korea
New entities are being created daily. Though the novelty of these entities naturally attracts mentions, due to lack of prior knowledge, it is more challenging to collect knowledge about such entities than pre-existing entities, whose KBs are comprehensively annotated through LBSNs and EBSNs. In this paper, we focus on knowledge harvesting for emerging spatial entities (ESEs), such as new businesses and venues, assuming we have only a list of ESE names. Existing techniques for knowledge base (KB) harvesting are primarily associated with information extraction from textual corpora. In contrast, we propose a multimodal method for event detection based on the complementary interaction of image, text, and user information between multi-source platforms, namely Flickr and Twitter. We empirically validate our harvesting approaches improve the quality of KB with enriched place and event knowledge.
Flickr, Twitter, Encyclopedias, Electronic publishing, Internet
J. Yeo, H. Cho, J. Park and S. Hwang, "Multimodal KB Harvesting for Emerging Spatial Entities," in IEEE Transactions on Knowledge & Data Engineering, vol. 29, no. 5, pp. 1073-1086, 2017.