Special Issue On: Trends on Semantics Web Analytics Submission Due Date 11/25/2018
Guest Editors Sanju Tiwari, NIT Kurukshetra, India Rafid Sagban, University of Babylon, Iraq Niketa Gandhi, MIR Labs, USA Introduction Semantic Analytics is considered to be the best technique for analyzing the content of resources on the Web and finding its relatedness in such heterogeneous and dynamic systems. It combines text analytics with semantic web technologies such as RDF and Ontologies. This Special Issue will highlight the new techniques discovered in exploiting the relatedness among content in such information systems to support variety of applications such as aviation safety, provenance and trust of data sources, and the document-access problem of Insider Threat. Objective The aim of this Special Issue is to present latest advances in knowledge representation, linguistics, information systems, artificial intelligence and database management and bring theme together. It is expected, thus, our proposed title will get good attention from such interested communities, foster wider adoption of Semantic Web technologies, lead to higher quality results in different applications employing ontologies and proliferate the consumption of semantic web data. Recommended Topics Topics to be discussed in this special issue include (but are not limited to) the following: Web Services Composition and Uncertainty Reasoning-based knowledge extraction Methods Word embedding in NLP and Deep Learning Semantic Deep Learning Ontologies as Training Sets Ontology learning, i.e. extraction, generation, or acquisition Text mining using NLP Personalization in Semantic Web Semantic data linking, extraction and integration Bridging structured and unstructured data Knowledge representation, ranking, generation, and validation Knowledge representation, querying, and reasoning Submission Procedure Researchers and practitioners are invited to submit papers for this special theme issue on Recent Trends on Semantics Web Analytics on or before 25 Nov 2018. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at https://www.igi-global.com/publish/contributor-resources/before-you-write <http://www.igi-global.com/publish/contributor-resources/before-you-write/>. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations. All submissions and inquiries should be directed to the attention of: Sanju Tiwari, Rafid Sagban, Niketa Gandhi Guest Editors International Journal of Web-Based Learning and Teaching Technology Email: sanju.tiwari.2...@gmail.com, rsag...@uobabylon.edu.iq, niketa@g <nik...@gmail.com>andhi -- Sanju Mishra Tiwari Research Associate Department of Computer Applications National Institute of Technology Kurukshetra
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