Mining Latent Entity Structures from Massive Unstructured and Interconnected Data

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Provided by: Association for Computing Machinery
Topic: Big Data
Format: PDF
The \"Big data\" era is characterized by an explosion of information in the form of digital data collections, ranging from scientific knowledge, to social media, news, and everyone's daily life. Examples of such collections include scientific publications, enterprise logs, news articles, social media and general web pages. Valuable knowledge about multi-typed entities is often hidden in the unstructured or loosely structured but interconnected data. Mining latent structured information around entities uncovers semantic structures from massive unstructured data and hence enables many high-impact applications.
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