Social Knowledge Graph Explorer

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval(2019)

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摘要
We present SKG Explorer, an application for querying and browsing a social knowledge graph derived from Twitter that contains relationships between entities, links, and topics. A temporal dimension is also added for generating timelines for well-known events that allows the construction of stories in a wiki-like style. In this paper we describe the main components of the system and showcase some examples.
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关键词
knowledge graphs, social search, story evolution, wikification
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