Semantics empowered Big Data Processing with Applications

TitleSemantics empowered Big Data Processing with Applications
Publication TypeMagazine Article
Year of Publication2014
AuthorsKrishnaprasad Thirunarayan, Amit Sheth
MagazineAI Magazine
Volume36
Issue Number1
Pagination39-54
Abstract

We discuss the nature of big data and address the role of semantics in analyzing and processing big data that arises in the context of physical-cybersocial systems. To handle volume, we advocate semantic perception that can convert low-level observational data to higher-level abstractions more suitable for decision making. To handle variety, we resort to semantic models and annotations of data so that intelligent processing can be done independent of heterogeneity of data formats and media. To handle velocity, we seek to use continuous semantics capability to dynamically create event- or situation-specific models and recognize relevant new concepts, entities and facts. To handle veracity, we explore trust models and approaches to glean trustworthiness. These four of the five v’s of big data are harnessed by the semantics-empowered analytics to derive value to support applications transcending the physicalcyber- social continuum.​

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Citation
K. Thirunarayan & A. Sheth. Semantics-empowered Big Data Processing with Applications. AI Magazine, 36(1): 39-54, Spring 2015.