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CFP: IEEE International Conference on Big Knowledge (ICBK2019) Deadline: June 30, 2019
Posted by:
webmasterphilfv
Date: May 21, 2019 07:03PM
Subject: [DBWorld] ICBK 2019 call for papers
Message-ID: <201905211141.x4LBfHJO025973@igor.cs.wisc.edu>
Content-Type: text/plain; charset=iso-8859-1
Call for Papers
Big Knowledge deals with fragmented knowledge from heterogeneous, autonomous information sources for complex and evolving relationships, in addition to domain expertise. The IEEE International Conference on Big Knowledge (ICBK) provides a premier international forum for presentation of original research results in Big Knowledge opportunities and challenges, as well as exchange and dissemination of innovative, practical development experiences. The conference covers all aspects of Big Knowledge, including algorithms, software, systems, and applications. ICBK draws researchers and application developers from a wide range of Big Knowledge related areas such as knowledge engineering, big data analytics, statistics, machine learning, pattern recognition, data mining, knowledge visualization, high performance computing, and World Wide Web. By promoting novel, high quality research findings, and innovative solutions to challenging Big Knowledge problems, the conference seeks to con!
tinuously advance the state-of-the-art in Big Knowledge.
Accepted papers will be published in the conference proceedings by the IEEE Computer Society. Awards will be conferred at the conference on the authors of the best paper and the best student paper. A selected number of best papers will be invited for possible inclusion, in an expanded and revised form, in the Knowledge and Information Systems Journal.
Topics of interest include, but are not limited to:
Foundations, algorithms, models, and theory of big knowledge processing.
Knowledge engineering with big data.
Machine learning, data mining, and statistical methods for big knowledge science and engineering.
Acquisition, representation and evolution of fragmented knowledge.
Fragmented knowledge modeling and online learning.
Knowledge graphs and knowledge map.
Topology and fusion on fragmented knowledge.
Visualization, personalization, and recommendation of big knowledge navigation and interaction.
Big knowledge systems and platforms, and their efficiency, scalability, and privacy.
Applications and services of big knowledge in all domains including web, medicine, education, healthcare, and business.
Important Dates
All deadlines are at 11:59PM Pacific Daylight Time.
Paper submission: June 30, 2019
Notification of acceptance/rejection: August 18, 2019
Camera-ready deadline and copyright forms: September 8, 2019
Conference: November 10-11, 2019
Message-ID: <201905211141.x4LBfHJO025973@igor.cs.wisc.edu>
Content-Type: text/plain; charset=iso-8859-1
Call for Papers
Big Knowledge deals with fragmented knowledge from heterogeneous, autonomous information sources for complex and evolving relationships, in addition to domain expertise. The IEEE International Conference on Big Knowledge (ICBK) provides a premier international forum for presentation of original research results in Big Knowledge opportunities and challenges, as well as exchange and dissemination of innovative, practical development experiences. The conference covers all aspects of Big Knowledge, including algorithms, software, systems, and applications. ICBK draws researchers and application developers from a wide range of Big Knowledge related areas such as knowledge engineering, big data analytics, statistics, machine learning, pattern recognition, data mining, knowledge visualization, high performance computing, and World Wide Web. By promoting novel, high quality research findings, and innovative solutions to challenging Big Knowledge problems, the conference seeks to con!
tinuously advance the state-of-the-art in Big Knowledge.
Accepted papers will be published in the conference proceedings by the IEEE Computer Society. Awards will be conferred at the conference on the authors of the best paper and the best student paper. A selected number of best papers will be invited for possible inclusion, in an expanded and revised form, in the Knowledge and Information Systems Journal.
Topics of interest include, but are not limited to:
Foundations, algorithms, models, and theory of big knowledge processing.
Knowledge engineering with big data.
Machine learning, data mining, and statistical methods for big knowledge science and engineering.
Acquisition, representation and evolution of fragmented knowledge.
Fragmented knowledge modeling and online learning.
Knowledge graphs and knowledge map.
Topology and fusion on fragmented knowledge.
Visualization, personalization, and recommendation of big knowledge navigation and interaction.
Big knowledge systems and platforms, and their efficiency, scalability, and privacy.
Applications and services of big knowledge in all domains including web, medicine, education, healthcare, and business.
Important Dates
All deadlines are at 11:59PM Pacific Daylight Time.
Paper submission: June 30, 2019
Notification of acceptance/rejection: August 18, 2019
Camera-ready deadline and copyright forms: September 8, 2019
Conference: November 10-11, 2019