ODBASE'19 - deadline extended to 25th July

Hi Guys,

ODBASE paper deadline is extended to 25th Jul.

Its focus this year is data governance and your great work on DPV and 
SPECIAL would be very relevant.

Please forward to anyone else or other lists you think might be interested.

many thanks,
Dave
===============================================================================
ODBASE 2019: The 18th International Conference on Ontologies, DataBases,
and Applications of Semantics
===============================================================================

October 23 - 25, 2019
Kallithea, Rhodos, Greece
Proceedings: Springer LNCS

=========================================
Important Dates:

Submission deadline:       Jul 25, 2019
Acceptance Notification:   Aug 20, 2019
Camera Ready Due:          Aug 30, 2019
Author Registration Due:   Aug 30, 2019
=========================================

Important notice. This year, papers will be submitted to EasyChair. The 
three conferences are organized as “tracks” of the OnTheMove Federated 
Conferences.
https://easychair.org/conferences/?conf=otm2019
Aim and Scope
=============
The conference on Ontologies, DataBases, and Applications of Semantics 
for Large Scale Information Systems (ODBASE’19) provides a forum on the 
use of ontologies, rules and data semantics in novel applications. Of 
particular relevance to ODBASE are papers that bridge traditional 
boundaries between disciplines such as artificial intelligence and 
Semantic Web, databases, data science, data analytics and machine 
learning, human-computer interaction, social networks, distributed and 
mobile systems, data and information retrieval, knowledge discovery, and 
computational linguistics.

The increasing effectiveness and adoption of data-driven AI technologies 
into a widening range of applications has thrown a spotlight into the 
trustworthiness of such AI applications. Such concerns extends beyond 
those of vendors, deployers and users of an AI, interested in its 
envelop of performance and reliability, but also wider professional, 
governmental and civil society stakeholders who are concerned by the 
potential impact of bias, safety, robustness and liability issues. This 
concern is amplified by the opaque nature of techniques such as deep 
machine learning and the ease with which they can be applies over large 
varieties of datasets and therefore impact is many different areas of 
life. Key to addressing these concerns therefore is transparency in how 
data is collected, selected and prepared in training and using AI and 
how these processes can be governed, not just within organisations, but 
in concert with external stakeholders. Ontologies and semantic models 
are powerful techniques for representing, exchanging and controlling the 
processing of data for AI applications. They can be used to define and 
monitor integration mappings between data sets that train AI. They can 
track the provenance and quality assessments of data selected for 
training AI. They can be use to track and compare the selection of data 
in different linguistic and societal settings to ensure AI is developed 
in a fair, unbiased and inclusive manner. They can be used for tracking 
and explaining the processing of personal data in AI, which is 
increasingly a requirement for data protection regulation. They can be 
used to assess the value of datasets and the contributions to that value 
made by individual stakeholders. They can be use by communities to 
assemble and share information about applications of AI, to inform 
approaches to ethical use of AI and thereby establish trust. In all 
these areas semantic models offer a promising basis for establishing 
sector-specific or international standards for interoperable data 
governance in AI applications.

ODBASE’19 intends to draw a highly diverse body of researchers and 
practitioners by being part of the Federated conferences Event "On the 
Move to Meaningful Internet Systems 2019 (OnTheMove'19)" that co-locates 
three conferences: ODBASE'19, C&TC'19 (International Symposium on Secure 
Virtual Infrastructures), and CoopIS'19 (International Conference on 
Cooperative Information Systems).

Submissions
===========
ODBASE 2019 will consider two categories of papers: research and 
experience. Authors must clearly state the type of the paper in the 
abstract. Research papers must contain novel, unpublished research 
results. Experience papers must describe performance or usability of 
existing real-world systems, empirical studies, business / industry 
cases with (proven) solutions / systems for applied technological 
challenges, and concrete results demonstrating real-world importance and 
impact; preference will be given to papers that describe software 
products or systems that are in use in the community and/or the industry.

Papers submitted to ODBASE’19 must not have been accepted for 
publication elsewhere or be under review for another workshop or conference.
All submitted papers will be carefully evaluated based on originality, 
significance, technical soundness, and clarity of expression. All papers 
will be refereed by at least three members of the program committee, and 
at least two will be experts from industry in the case of practice 
reports. All submissions must be in English.

Submissions must not exceed 18 pages in the final camera-ready paper 
style. Submissions must be laid out according to the final camera-ready 
formatting instructions and must be submitted in PDF format.

Paper submission site: http://otmconferences.org/index.php/paper-submission

The final proceedings will be published by Springer Verlag as LNCS 
(Lecture Notes in Computer Science). Author instructions can be found 
at: http://www.springer.de/comp/lncs/authors.html
Failure to comply with the formatting instructions for submitted papers 
will lead to the outright rejection of the paper without review.
Failure to commit to presentation at the conference automatically 
excludes a paper from the proceedings.

Program Chairs
==============
Dave Lewis, Trinity College Dublin, Ireland
Rob Brennan, Dublin City University, Ireland

Program Committee
=================
The list of PC members will be added to the conference page shortly.

Topic Descriptions
==================
Specific areas of interest to ODBASE’19 include but are not limited to:

1) Management of Semantically Expressive Information and Knowledge
- Data governance
- Knowledge representation and semantic knowledge management
- Data modeling
- Data quality
- Data value assessment
- Data integration, including transformation rules, ontology matching, 
merging, etc.
- Ontology-based data management, ontology-based data access (OBDA), 
linked data management, semantic big data management
- Ontology and rule engineering and metadata management
- Governance aspects such as workflows, roles and responsibilities in 
semantic information and knowledge management
- Synergy between ontologies & modern databases and business intelligence

2) Large Scale and Complex Information Management and Analysis
- Semantic indexing, search, and query answering and formulation in 
large volumes of data
- Semantic digital curation, semantic annotation, extraction, 
enrichment, summarization, and integration
- Semantic (smart/big) data analytics, data mining, data visualization, 
and machine learning
- Semantic social network analysis
- Semantic information extraction and text mining
- Semantics in event-driven architectures, streaming analytics, and 
semantic complex event processing

3) Applications, Evaluations, and Experiences of applying ontology, 
rule, and database techniques, standards, and tools including but not 
limited to the following domains:
- Semantic technology standards and tools
- Semantic Web and Linked Data
- Corporate Semantic Web (CSW)
- Semantic enterprise information systems and knowledge management
- Semantic business process management (SBPM) and decision models
- Semantic Web and the Internet of Things (IoT)
- Semantic Web and Human-Computer Interaction (HCI)
- Crowdsourcing, human computation, and the People Web
- Pragmatic Web
- Semantic services and semantic Multi Agent Systems (MAS)
- Online social networks and social Semantic Web
- Personalisation and digital content interaction
- Information and data governance, information assurance, security, 
compliance
- Semantic cloud computing, edge computing, fog computing
- Semantic Web applications and tools for, e.g., biomedical and 
healthcare domain, eCommerce, eScience, virtual organizations, Industry 4.0
- Legal ontologies, rules, and reasoning
- Distributed ledger / blockchain databases, e.g. for rule-based smart 
contracts
- Role of mutual impact of society on/by IT (with focus on ontologies 
and databases)

Received on Friday, 12 July 2019 10:16:47 UTC