[esip-semantictech] Call for Chapters Proposals “Current trends on semantic Web Technologies: Theory and Practice”

[Robert Downs]

Please find the Call for Chapter Proposals, below, which might be of
interest.

Thanks,

Bob

Robert R. Downs, PhD
Senior Digital Archivist and Senior Staff Associate Officer of Research
Acting Head of Cyberinfrastructure and Informatics Research and Development
Center for International Earth Science Information Network (CIESIN),
The Earth Institute, Columbia University
P.O. Box 1000, 61 Route 9W, Palisades, NY 10964 USA
Voice: 845-365-8985; fax: 845-365-8922
E-mail: rdowns at ciesin.columbia.edu
Columbia University CIESIN Web site: http://www.ciesin.columbia.edu
ORCID: 0000-0002-8595-5134


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*We will appreciate if you distribute this CFC among your colleagues.*



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*Call for Chapters Proposals*

*“Current trends on semantic Web Technologies: Theory and Practice”*

*To be published by Springer Verlag*

*on Studies in Computational Intelligence book series*

*Overview*

Semantic Web technologies are becoming more relevant to the research
community. Such interest has inspired many people to create innovative
technologies and applications such as Semantic Searches, Information
Integration, Information Interoperability, Bioinformatics, eHealth,
eLearning, Software Engineering, eCommerce, eGovernment, Social Networks.
In this sense, the application of semantic web has carried out a
comprehensive use of ontologies in such diverse fields. In fact, through
ontologies, systems have discovered several novel techniques to be capable
of generating knowledge from analysing enormous quantities of heterogeneous
data sources. Thus, the use of the ontologies has supposed an incredible
advance in developing techniques to manipulate, share and reuse information
across different kind of systems. Semantic technologies like OWL2, RDF and
SPARQL, are technologies which represent some of the building blocks which
have been developed to make that such shared environment becomes real.



On the other hand, with the arrival of ontologies, fundamental questions
have emerged about which kind of elements should be defined in an ontology
model to specify knowledge and how this knowledge should be represented. In
response to these questions, Ontological Engineering, Knowledge
Representation and Reasoning research areas are working intensively to
develop generic models which enable systems to employ reasoning techniques
to produce knowledge.



In addition to the classic “Web of documents” and the ontologies, the
paradigm of publication, linking and consumption of data has evolved to
support a “Web of data”, whose main goal is generating a global Linked Data
ecosystem known as Linked Open Data cloud (LOD cloud), which enables to
computers to do more useful work and to develop systems that can support
trusted interactions over the network. In this sense, the Semantic Web
technologies enable people to create data stores on the Web, build
vocabularies, and write rules for handling data. Linked data are empowered
by technologies such as RDF, SPARQL, OWL, and SKOS, among others. Hence,
the Semantic Web involves the inference generation, vocabularies, queries
and the development of vertical applications.



In the Semantic Web context, inference consists in the reasoning over data
through rules in order to discovery new relationships among them and
external data, primarily using RIF and OWL, both focused on translating
between rule languages and exchanging rules among different systems. Hence,
the inference on the Semantic Web is one of the tools of choice to improve
the quality of data integration on the Web, by discovering new
relationships, automatically analysing the content of the data, or managing
knowledge on the Web in general. Inference based techniques are also
important in discovering possible inconsistencies in the (integrated) data.
Related to this, the vocabularies on the Semantic Web helps to integration
and organization of data to build vocabularies, taxonomies and designing
knowledge organization systems in order to enrich data with additional
meaning, which allows more people (and more machines) take more advantage
the data. On the other hand, the Web of data involving several domains what
allows be queried by the SPARQL-query language and the accompanying
protocols. SPARQL makes it possible to send queries and receive results,
e.g., through HTTP or SOAP, hence, SPARQL provides a powerful tool to
build, for example, complex mash-up sites or search engines that include
data stemming from the Semantic Web. Finally, the Web of data enables of
developing vertical applications that may bring forward specific and
sometimes highly non-trivial use cases, focusing to provide solutions to
problems of different industries, such as, Health Care and Life Sciences,
e-Government, and Energy, to mention but a few, in order to improve
collaboration, research and development, and innovation adoption through
Semantic Web technology.



According to above, the main objective of this book is to collect and
consolidate innovative and high-quality research contributions regarding to
Linked Data (Linked Open data), Intelligent Systems and semantic Web-based
applications applied to different disciplines such as Artificial
Intelligence, Database Management, Knowledge Representation and
Engineering, Natural Language and Processing, Cloud Computing, Social Web,
Web Science, among others. This book aims to provide insights on the recent
advances in these topics by soliciting original scientific contributions in
the form of theoretical foundations, models, experimental research and case
studies for developing semantic Web-based applications.
Topic Coverage

Topics of interest in this book include, but are not restricted to:

   - Knowledge Representation and Reasoning
   - Knowledge Acquisition
   - Ontological Engineering
   - Ontology Sharing and Reuse
   - Ontology Matching and Alignment
   - Ontology Learning and Population
   - Semantic Web Semantic Integration of heterogeneous data sources
   - Natural Language Processing and Information Retrieval using Semantic
   technologies
   - Social Semantic Web and Web science
   - Knowledge-based Decision Support Systems
   - Linked Data Applications Industrial Applications and Case-studies
   - Visualizations and user interfaces for ontologies and Linked Data
   - Consumption and publication of Linked Data
   - Extraction, linking and integration of Linked Data
   - Web mining and Web search systems
   - Semantic Data Management technologies for Big Data
   - Machine Learning and Data Mining for Web of Data
   - Solutions for bridging the gap between Web of Data and the Web of
   Services

Target audience

The target audience includes researchers, practitioners and (Masters/PhD)
students. Therefore, chapters need to address both scientific and practical
implications of the research.
Type of contributions and length

   - Case studies: In-depth reports of Semantic Web implementations in an
   organization or business.
   - Full research papers: Both quantitative and qualitative contributions
   that study a particular aspect of Semantic Web Technologies. Only completed
   research will be considered, meaning that research in progress will not be
   considered to be included in the book.
   - Conceptual papers: Contributions that synthesize existing studies.

This type of contributions are typically 18 to 22 pages in length
(excluding references) when applying the Springer formatting instructions.
Contributions should be original and not be submitted elsewhere.
Submission Guidelines and Other Considerations

Chapters submitted must not have been previously published or be under
consideration for publication in other journals, books, though they may
represent significant extensions of prior work. All submitted chapters will
undergo a rigorous peer-review process (with at least two reviewers) that
will consider programmatic relevance, scientific quality, significance,
originality, style and clarity.

The acceptance process will focus on chapters that address relevant
contributions in the form of theoretical and experimental research and case
studies applying new perspectives for developing Semantic Web applications.
 Before submitting a chapter proposal, authors must carefully  read  over
the  Springer’s Author Guidelines.

Authors should submit their complete chapter via email:
gineralor at outlook.com , jlsanchez at conacyt.mx,alejandro.rg at upm.es,
valencia at um.es and the subject of the email should be: “Chapter Submission:
Current trends on semantic Web Technologies” according to the following
timeline.
Important Dates

   - Submission deadline: June  1th, 2018
   - First selection of submissions: July 1th, 2018
   - Completion of first‐round reviews: August 15th, 2018
   - Revised chapters:  August 30th, 2018
   - Target of the second (last) round of reviews: September, 15th, 2017
   - Publication (tentative): November 2018

Editors

Giner Alor-Hernández, Instituto Tecnológico de Orizaba, México (
galor at itorizaba.edu.mx )

José Luis Sánchez-Cervantes, CONACYT- Instituto Tecnológico de Orizaba,
México (jlsanchez at conacyt.mx)

Alejandro Rodríguez-González, Universidad Politécnica de Madrid, Spain (
alejandro.rg at upm.es)
Rafael Valencia-García, Universidad de Murcia, Spain (valencia at um.es)
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