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[CfP] Last call : DESWeb@ICDE 2018

From: Benjamin Nguyen <benjie.nguyen@gmail.com>
Date: Tue, 16 Jan 2018 15:14:48 +0100
Message-ID: <CALLEtR2QFED2e4HR2tzib=A3P6PK-uO3LYUyDAmRAfoDjLvJTg@mail.gmail.com>
To: semantic-web@w3.org
************* LAST CALL : DEADLINE 29 jan. 2018, NO EXTENSIONS
*************

Submission web site :
http://www.univ-orleans.fr/lifo/evenements/DESWEB/?page_id=44

Data Engineering meets the Semantic Web Workshop
------------------------------------------------------------------------

The Database community has increasingly become interested in the Semantic
Web, and the two communities have enjoyed a joint growth in the past few
years. We are witnessing an increase in the amount of structured data
published online, such as HTML or XML tables, linked data as RDF or JSON-LD
collections, embedded microformats, social graphs, and smart sensors.
Semantifying, publishing, curating and managing such types of data in terms
of entities and properties has been incorporated in a variety of research
and commercial projects and settings, that involve, among others, web
content harvesting, knowledge representation, knowledge extraction and
enrichment, record and entity linkage, and searching, reasoning and
analyzing structured web data and social data.

Furthermore, RDF triple stores and SPARQL query engines have attracted
increasing interest from database researchers that has led to novel
algorithms, methods and techniques for issues such as query optimization
and efficient storage of huge data sizes and workloads. This field has also
seen advances in distributed and cloud query processing on large scale
datasets using MapReduce, and at the same time relational support of RDF
and SPARQL has become more efficient. This allows for the application of
existing and well-established relational techniques on semantic web
contexts. Moreover, commercial interest in semantic web data has been shown
by major companies and projects such as Google’s Knowledge Graph,
Facebook’s Open Graph, BestBuy, BBC and Thomson Reuters.

While these indications show that the vision of the semantic web has become
an established reality through a series of decade-long methodological
advances, the community is shifting its attention to applying scaling
methods for handling and managing very large  collections of data and
workloads. Issues such as query optimization, storage, query processing,
record linkage, and semantic disambiguation and grounding form excellent
candidates for scalable algorithms and methods of data management in the
context of Big Data. Moreover, the proliferation of online social networks
and media has brought to light new challenges for semantic technologies due
to their large-scale, noisy, and real-time nature. These challenges can
benefit from the expertise and insight of the database community that
traditionally has experience handling similar issues.

DESWeb is focused on providing a forum that brings together these two
separate communities, by highlighting their common interests and promoting
mutual advancement and cross-fertilization. Given the recent explosion of
structured data available on the Web and associated challenges with respect
to what is commonly referred to as the 3V’s (Volume, Variety and Velocity)
the workshop’s aim is more timely than ever.

The DESWEB workshop calls for regular papers (of up to 6 pages, IEEE
format) on research results and ongoing projects in the conjunction of
these thematic areas. Topics of interest include but are not limited to:

   - Ontologies and data integration
   - Semantic search
   - Semantic grounding of raw data
   - Linked Data, including Privacy in Linked Data and its impact on data
   management
   - Reasoning over Web data and services
   - Semantic authoring and crowdsourcing
   - Semantic recommender systems
   - Generation and aggregation of social semantics
   - Ontologies and data models for social data representation and analysis
   - Social semantic recommendations
   - Distributed query processing and optimization
   - Data quality, profiling, and uncertainty
   - Data mining and knowledge discovery
   - Data provenance and trust
   - Data versioning, evolution, change detection and representation
   - Innovative use of semantic technologies (e.g., on scientific,
   healthcare, environmental, egovernment data etc.)

and all other topics at the crossroads of Semantic Web and Data Engineering
research.

We also encourage the submission of papers on visions and challenges,
focusing on radical and novel ideas rather than established approaches, as
well as difficult and open problems rather than solutions. These
submissions can be made under the form of 3p articles, IEEE format.

-- 
Pr. Benjamin NGUYEN
INSA Centre Val de Loire, Systems and Data Security (SDS) Team
Head of the Laboratoire d'Informatique Fondamentale d'Orléans EA 4022 (LIFO)
Head of Digital Affairs for INSA Centre Val de Loire

Web : http://www.benjamin-nguyen.fr/
Tel : +33 (0) 2 48 48 40 94
Received on Tuesday, 16 January 2018 14:15:24 UTC

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