Social, Structured and Semantic Search

4 years 7 months ago
Social, Structured and Semantic Search
Social content such as social network posts, tweets, news articles and more generally web page fragments is often structured. Such social content is also frequently enriched with annotations, most of which carry semantics, either by collaborative effort or from automatic tools. Searching for relevant information in this context is both a basic feature for the users and a challenging task. We present a data model and a preliminary approach for answering queries over such structured, social and semantic-rich content, taking into account all dimensions of the data in order to return the most meaningful results.
Added 02 Apr 2016
Updated 02 Apr 2016
Type Journal
Year 2016
Where EDBT
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