Effective Entity Linking and Disambiguation Algorithms for User-Generated Content (UGC)

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Author(s): Senthil Kumar Narayanasamy (VIT University, India)and Dinakaran Muruganantham (VIT University, India)
Copyright: 2018
Pages: 18
Source title: Handbook of Research on Contemporary Perspectives on Web-Based Systems
Source Author(s)/Editor(s): Atilla Elçi (Hasan Kalyoncu University, Turkey)
DOI: 10.4018/978-1-5225-5384-7.ch018

Keywords: Computer Science & IT / Information Science Reference / Systems and Software Engineering / Web Technologies & Engineering

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Abstract

The exponential growth of data emerging out of social media is causing challenges in decision-making systems and poses a critical hindrance in searching for the potential information. The major objective of this chapter is to convert the unstructured data in social media into the meaningful structure format, which in return brings the robustness to the information extraction process. Further, it has the inherent capability to prune for named entities from the unstructured data and store the entities into the knowledge base for important facts. In this chapter, the authors explain the methods to identify all the critical interpretations taken over to find the named entities from Twitter streams and the techniques to proportionally link it with appropriate knowledge sources such as DBpedia.

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Effective Entity Linking and Disambiguation Algorithms for User-Generated Content (UGC)

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