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The main approach to understanding and creating knowledge
engineering concepts is static knowledge. Currently, there is a
need to approach knowledge through a dynamic lens and address
changing relations on an elaborated syntactic and semantic basis.
Dynamic Knowledge Representation in Scientific Domains provides
emerging research on the internal and external changes in knowledge
within various subject areas and their visual representations.
While highlighting topics such as behavior diagrams, distribution
analysis, and qualitative modeling, this publication explores the
structural development and assessment of knowledge models. This
book is an important resource for academicians, researchers,
students, and practitioners seeking current research on information
visualization in order to foster research and collaboration.
This book constitutes the refereed proceedings of the 6th
Conference on Knowledge Engineering and the Semantic Web, KESW
2015, held in Moscow, Russia, in September/October 2015.The 17
revised full papers presented together with 6 short system
descriptions were carefully reviewed andselected from 35
submissions. The papers address research issues related to semantic
web, linked data, ontologies, natural language processing,
knowledge representation.
This book constitutes the refereed proceedings of the 5th
Conference on Knowledge Engineering and the Semantic Web, KESW
2014, held in Kazan, Russia, in September/October 2014. The 18
revised full papers presented together with 4 short system
descriptions were carefully reviewed and selected from 44
submissions. The papers address research issues related to semantic
web, linked data, ontologies, natural language processing,
knowledge representation.
This book constitutes the refereed proceedings of the 4th
Conference on Knowledge Engineering and the Semantic Web, KESW
2013, held in St. Petersburg, Russia, in October 2013. The 18
revised full papers presented together with 7 short system
descriptions were carefully reviewed and selected from 52
submissions. The papers address research issues related to
knowledge representation, semantic web, and linked data.
This volume comprises a collection of papers presented at an Open
Data in Education Seminar and the LILE workshops during 2014-2015.
In the first part of the book, two chapters give different
perspectives on the current use of linked and open data in
education, including the use of technology and the topics that are
being covered. The second part of the book focuses on the specific,
practical applications that are being put in place to exploit open
and linked data in education today. The goal of this book is to
provide a snapshot of current activities, and to share and
disseminate the growing collective experience on open and linked
data in education. This volume brings together research results,
studies, and practical endeavors from initiatives spread across
several countries around the world. These initiatives are laying
the foundations of open and linked data in the education movement
and leading the way through innovative applications.
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