Wright State University CORE Scholar The Ohio Center of Excellence in Knowledge- Kno.e.sis Publications Enabled Computing (Kno.e.sis) 2014 Alignment and Dataset Identification of Linked Data in Semantic Web Kalpa Gunaratna Wright State University - Main Campus,
[email protected] Sarasi Lalithsena Wright State University - Main Campus,
[email protected] Amit P. Sheth Wright State University - Main Campus,
[email protected] Follow this and additional works at: https://corescholar.libraries.wright.edu/knoesis Part of the Bioinformatics Commons, Communication Technology and New Media Commons, Databases and Information Systems Commons, OS and Networks Commons, and the Science and Technology Studies Commons Repository Citation Gunaratna, K., Lalithsena, S., & Sheth, A. P. (2014). Alignment and Dataset Identification of Linked Data in Semantic Web. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 4 (2), 139-151. https://corescholar.libraries.wright.edu/knoesis/578 This Article is brought to you for free and open access by the The Ohio Center of Excellence in Knowledge-Enabled Computing (Kno.e.sis) at CORE Scholar. It has been accepted for inclusion in Kno.e.sis Publications by an authorized administrator of CORE Scholar. For more information, please contact
[email protected]. Alignment and Dataset Identification of Linked Data in Semantic Web * Kalpa Gunaratna, Sarasi Lalithsena and Amit Sheth Kno.e.sis Center, Wright State University, Dayton, OH 45435 USA {kalpa, sarasi, amit}@knoesis.org Abstract The Linked Open Data (LOD) cloud has gained significant attention in the Semantic Web community over the past few years. With rapid expansion in size and diversity, it consists of over 800 interlinked datasets with over 60 billion triples.