Latif, A.: Understanding linked open data : for linked data discovery, consumption, triplification and application development (2011)
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- Abstract
- Linked Open Data initiative has played a vital role in the realization of the Semantic Web at a global scale by publishing and interlinking diverse data sources on the Web. Access to this huge amount of Linked Data presents exciting benefits and opportunities. However, the inherent complexity attached to Linked Data understanding, lack of potential use cases and applications which can consume Linked Data hinders its full exploitation by naïve web users and developers. This book aims to address these core limitations of Linked Open Data and contributes by presenting: (i) Conceptual model for fundamental understanding of Linked Open Data sphere, (ii) Linked Data application to search, consume and aggregate various Linked Data resources, (iii) Semantification and interlinking technique for conversion of legacy data, and (iv) Potential application areas of Linked Open Data.
