Journal of Web Semantics Special Issue on
Machine Learning and Data Mining for the Semantic Web

The Journal of Web Semantics (http://bit.ly/ElsJWS) seeks submissions
of original research papers for a special issue on machine learning
and data mining for the Semantic Web dealing with analytical,
theoretical, empirical, and practical aspects of machine learning and
data mining for all areas of the Semantic Web. The special issue will
be edited by Dunja Mladenic, Marko Grobelnik and Estevam
Hruschka. Submissions are due by 10 January 2015.

In the last years, machine learning, as well as data mining approaches
have become the main focus of many research works and initiatives
related to the Semantic Web and the Web of Data. Challenges imposed
by the large scale of Web Data, the uncertainty related to
contradictory and incomplete information, and also, by properties and
characteristics of Linked Data represent an interesting domain for
emerging machine learning and data mining approaches.

For this special issue, we invite high quality contributions from all
areas of research that address any aspects of the aforementioned
challenges. Topics of interest include but are not limited to the
following.

* Ontology-based data mining
* Automatic (and semi-automatic) ontology learning and population
* Distant-supervision (or weak-supervision) methods based on
ontologies and knowledge bases
* Web mining using semantic information
* Meta-learning for the Semantic Web
* Cognitive-inspired approaches and exploratory search in the
Semantic Web
* Discovery science involving linked data and ontologies
* Data mining and machine learning applied to information extraction
in the semantic web
* Big Data analytics involving linked data
* Inductive reasoning on uncertain knowledge for the Semantic Web
* Ontology matching and instance matching using machine learning and
data mining
* Data mining and knowledge discovery in the Web of data
* Knowledge base maintenance using Machine Learning and Data Mining
* Crowdsourcing and the Semantic Web
* Mining the social Semantic Web

We solicit contributions that address these challenges, as well as
reports on novel applications with the potential to push Semantic Web
and machine learning/data mining cooperation forward.

Submission guidelines

The Journal of Web Semantics solicits original scientific
contributions of high quality. Following the overall mission of the
journal, we emphasize the publication of papers that combine theory,
methods and experiments from different subject areas in order to
deliver innovative semantic methods and applications. The publication
of large-scale experiments and their analysis is also encouraged to
clearly illustrate scenarios and methods that introduce semantics into
existing Web interfaces, contents and services.

Submission of your manuscript is welcome provided that it, or any
translation of it, has not been copyrighted or published and is not
being submitted for publication elsewhere. Upon acceptance of an
article, the author(s) will be asked to transfer copyright of the
article to the publisher. This transfer will ensure the widest
possible dissemination of information. Manuscripts should be prepared
for publication in accordance with instructions given in the JWS guide
for authors. The submission and review process will be carried out
using Elsevier's Web-based EES system. Final decisions of accepted
papers will be approved by an editor in chief.

Final copies will appear in print and on Elsevier's archival online
server (http://bit.ly/JWS_SD). Author preprints will be accessible on
the JWS preprint server (http://bit.ly/JWSpreprint) on acceptance.

Important Dates

* Call for papers: June 2014
* Submission deadline: 10 January 2015
* Author notification: 15 April 2015
* Submission deadline for revisions: 15 June 2015
* Author notification: 1 August 2015

Special issue editors

* Dunja Mladenic (Jozef Stefan Institute, Slovenia)
* Marko Grobelnik (Jozef Stefan Institute, Slovenia)
* Estevam R. Hruschka Jr. (Federal University of Sao Carlos, Brazil)