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.2007@gmail.com, rsagban@uobabylon.edu.iq,
niketa@gmail.com
--
Sanju Mishra Tiwari
Research Associate
Department of Computer Applications
National Institute of Technology
Kurukshetra
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