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Call for Papers

OnTheMove Federated Conferences & Workshops
- CoopIS 2019: 27h International Conference on Cooperative Information Systems
- ODBASE 2019: The 18th International Conference on Ontologies, DataBases, and Applications of Semantics
- C&TC 2019: Cloud and Trusted Computing 2019 - International Symposium on Secure Virtual Infrastructures

October 23 - 25, 2019
Kallithea, Rhodos, Greece
Proceedings: Springer LNCS
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Important Dates:
Abstract submission:       Jul  7, 2019
Submission deadline:       Jul 15, 2019
Acceptance Notification:   Aug 20, 2019
Camera Ready Due:          Aug 30, 2019
Author Registration Due:   Aug 30, 2019
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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

CFPs for the three conferences described below:

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CoopIS 2019: 27h International Conference on Cooperative Information Systems
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Aim and Scope
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The International Conference on Cooperative Information Systems is an established international event for presenting and discussing scientific contributions to technical, economical, and societal aspects of distributed information systems at scale. 

The guiding theme of this 27th conference is "Information Systems in a Data Society", with a particular focus on the following areas:

Topic 1: Data, Information, and Knowledge Engineering 
Topic 2: Machine-Learning and Knowledge Reconstruction and Discovery
Topic 3: Semantic Web and Linked Open Data
Topic 4: Security and Privacy
Topic 5: Internet of Things
Topic 6: Architecture and Management of Information Systems
Topic 7: Human Aspects and Social Interaction
Topic 8: Services in Information Systems

For a detailed description of topics, please see the conference Web site at http://www.otmconferences.org/index.php/conferences/coopis19.

As in previous years, CoopIS 2019 will be part of a joint event with other conferences in the context of the OTM Federated Conferences ("OnTheMove"), covering different aspects of distributed information systems. 

Submissions
===========
Authors are invited to submit original, unpublished research papers that are not under review for another conference, workshop, or journal. The contributions should address research questions from one or more of the areas listed above.

We are particularly encouraging

1. Contributions that describe and evaluate technological innovations (e.g. new methods and approaches).
2. Empirical studies (e.g. quantitative data on the effects of novel approaches in technical, social, or economic terms).
3. Systematic surveys of competing techniques and paradigms.

The questions addressed should be practically relevant and of generic interest. Full-papers should include a systematic evaluation of the contribution and relate it to the established state of the art and competing recent contributions. Short-papers may present work supported by preliminary evidence only.

Submitted papers will be peer-reviewed by at least 3 reviewers. Papers are evaluated according to originality, significance, technical soundness and clarity. At least one author is required to register and present the paper.

Submissions for full papers must not exceed 18 pages in the final camera-ready paper style. Short papers should be up to 8 pages. Submissions must be laid out according to the final camera-ready formatting instructions and must be submitted in PDF format.

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

Electronic submission of manuscripts (in PDF format) is required. 

A link to the submission system will be made available shortly on http://www.otmconferences.org/index.php/conferences/coopis19.

Program Chairs
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Martin Hepp, Universität der Bundeswehr München, Munich, Germany
Maria Maleshkova, University of Bonn, Bonn, Germany 

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

Topic Descriptions
==================
Relevant topics for the conference include, but are not limited to the following:

Topic 1: Data, Information, and Knowledge Engineering 
        • Conceptual Modeling
        • Ontology Engineering
        • Data Structures in Shared Information Systems
        • Ontology and Schema Alignment and Interoperability
        • Evolution and Maintenance of Conceptual Models
        • Big Data
        • Data Quality Management
        • Meta-Modelling
        • Human-Computer Interaction

Topic 2: Machine Learning and Knowledge Reconstruction and Discovery
        • Machine Learning
        • Deep Learning
        • Data Mining
        • Process Mining
        • Data Analytics

Topic 3: Semantic Web and Linked Open Data
        • Web Architecture
        • Tools
        • Vocabularies for the Semantic Web
        • Applications and Use Cases
        • Formalisms and Syntaxes
        • Querying Graph Data  and Query Languages
        • Inference and Reasoning
        • RDF Data Shapes

Topic 4: Security and Privacy
        • Access Control
        • Blockchain-based Approaches
        • Cryptocurrencies
        • Information Entropy

Topic 5: Internet of Things
        • Connectivity, Interfaces, and Protocols
        • Data Structures for IoT
        • Storage and Data Management
        • Computing and Processing in IoT Environments
        • Sensors and Actuators
        • Semantic Sensor Web
        • Applications and Use Cases

Topic 6: Architecture and Management
        • Information Architecture
        • Enterprise Architecture Management
        • Software Engineering

Topic 7: Human Aspects and Social Interaction
        • Economics of Cooperative Information Systems
        • Visualization
        • Human-Computer Interaction
        • Incentives and User Contributions
        • Reputation Management

Topic 8: Services in Information Systems
        • Web Services
        • APIs
        • Services Science
        • Business Models
        • Service Engineering
        • Service Management
		
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ODBASE 2019: The 18th International Conference on Ontologies, DataBases, 
and Applications of Semantics
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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
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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
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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)

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C&TC 2019: Cloud and Trusted Computing 2019 - International Symposium on 
Secure Virtual Infrastructures
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Description
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Current and future service-based software needs to remain focused towards the development and deployment of large and complex intelligent and networked information systems, required for internet-based and intranet-based systems in organizations, as well to move to IoT integration and big data analytics. Today, service-based software covers a very wide range of application domains as well as technologies and research issues. This has found realization through Cloud Computing, Big Data, and IoT. Vital element in such networked, virtualized, and sensor-based information systems are the notions of trust, security, privacy and risk management.
Cloud and Trusted Computing (C&TC 2019) is the 9th International Symposium on Cloud Computing, Trusted Computing and Secure Virtual Infrastructures, organized as part of the OnTheMove Federated Conferences & Workshops. C&TC 2019 will be held in Rhodes, Greece.
The conference solicits submissions from both academia and industry presenting novel research in the context of Cloud Computing, Big Data, and IoT, presenting theoretical and practical approaches to cloud, big data, and IoT trust, security, privacy and risk management. The conference will provide a special focus on the intersection between cloud paradigm, big data analytics, and IoT integration, bringing together experts from the three communities to discuss on the vital issues of trust, security, privacy and risk management in Cloud Computing, shedding the light on novel issues and requirements in big data and IoT domains. Potential contributions could cover new approaches, methodologies, protocols, tools, or verification and validation techniques. We also welcome review papers that analyze critically the current status of trust, security, privacy and risk management in the Cloud, Big Data, and IoT. Papers from practitioners who encounter trust, security, privacy, and risk management problems, and seek understanding are finally welcome.

Submissions
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FULL PAPERS
Regular paper submissions to Cloud and Trusted Computing 2019 (C&TC 2019) must present original, highly innovative, prospective and forward-looking research in one or more of the themes given above. Full papers must break new ground, present new insight, deliver a significant research contribution and provide validated support for its results and conclusions. Successful submissions typically represent a major advance for the fields of cloud computing, big data, and IoT referencing and relating the contribution to existing research work, giving a comprehensive, detailed and understandable explanation of a system, study, theory or methodology, and support the findings with a compelling evaluation and/or validation. Each paper must be submitted as a single PDF file in Springer Lecture Notes in Computer Science format (no longer than 18 pages in length). Accepted regular papers will be included in the conference main proceedings and presented in the paper sessions. Submissions to C&TC 2019 must not be under review by any other conference or publication at any time during the C&TC review cycle, and must not be previously published or accepted for publication elsewhere.

NOTES (SHORT PAPERS)
Short papers (not longer than 8 pages in length) must report new results and provide support for the results, as a novel and valuable contribution to the field – just like full papers. Short papers are intended for succinct work that is nonetheless in a mature state ready for inclusion in archival proceedings. Short papers will be held to the same standard of scientific quality as full papers, albeit for a shorter presentation, and must still state how they fit with respect to related work, and provide a compelling explanation and validation. Short papers must be submitted as single PDF file in Springer Lecture Notes in Computer Science format. Accepted short papers will be published in the conference main proceedings and will be presented in the paper sessions of the conference.

Paper submission site: https://easychair.org/conferences/?conf=otm2019

PAPER FORMATTING AND PRESENTING
The paper and notes submission site giving all the relevant submission details is located at: http://www.otmconferences.org/index.php/paper-submission/authors-kit. Failure to comply with the formatting instructions for submitted papers or notes 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 Chair
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Claudio A. Ardagna, Universita' degli Studi di Milano, Italy
Ernesto Damiani, Universita' degli Studi di Milano, Italy
Athanasios Vasilakos, Lulea University of Technology, Sweden

Publicity Chair 
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Nabil El Ioini, Free University of Bozen, Italy

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

Topics
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Topics of interest are classified in four main themes and include, but are not limited to:

TRUST, SECURITY, PRIVACY AND RISK MANAGEMENT 
- Assurance Techniques
- Access Control, Authorization, and Authentication
- Big data security and privacy
- Blockchain
- Cloud Computing with Autonomic and Trusted Environment
- Cooperative systems
- Cryptographic Algorithms and Protocols
- Cyber Attack, Crime and Cyber War
- DRM, Watermarking Technology, IP Protection
- Emergency and Security Systems
- End-to-end security over complex cloud supply chain
- Forensics
- Human Interaction with Trusted and Autonomic Computing Systems
- Identity and Trust Management
- IoT security and privacy
- Multimedia Security Issues over Mobile and Wireless Clouds
- Network Security
- Networks of Trust, Clouds of Trust
- Privacy, Anonymity
- Privilege Management Infrastructure
- Reliable Computing and Trusted Computing
- Risk evaluation and Management
- Security, Dependability and Autonomic Issues in Ubiquitous Computing
- Security Models and Quantifications
- Self-protection and Intrusion-detection in Security
- Trust Evaluation and Prediction in Service-Oriented Environments
- Trust, Security, Privacy and Confidentiality
- Trust in big data analytics
- Trust in IoT environments
- Trusted Cloud-Edges computations
- Trusted Computing in virtualized environments
- Trusted Execution Environments
- Trusted P2P, Web Service, SoA, SaaS, EaaS, PaaS, XaaS
- Virus Detections and Anti-virus Techniques/Software

DATA MANAGEMENT
- Algorithms and Computations on Encrypted Data
- Big Data, Frameworks and Systems for Parallel and Distributed Computing
- Big Data Processing and Analytics
- Big Data Preparation
- Big Data Representation
- Big Data Visualization- Database as a Service, Multi-tenancy, Data management and analytics as a service
- Data Provenance
- Data Integrity
- Data Science and Scalable Machine Learning
- Elasticity and Scalability for Cloud Data Management Systems
- Encryption Systems for IoT Data
- High Availability and Reliability
- Interoperability between Clouds- New Protocols, Interfaces and Data Models for Cloud Databases
- Resource and Workload Management in Cloud Databases
- Sensor-Based Data Collection, Management, and Security
- Service Level Agreements and Contracts
- Transactional Models for Cloud Databases, Consistency and Replication
- Threats and countermeasures
- Virtualization and Cloud databases, Storage Structures and Indexing

INFRASTRUCTURES AND ARCHITECTURES
- Autonomic Computing Theory, Models, Architectures and Communications
- Big Data Infrastructures
- Cloud Resource provisioning with QoS Guarantees
- Cloud Operation and Resource Management
- Cloud Performance Modeling and Benchmarks
- Datacenter Architecture and Management
- Formal methods and Tools for Cloud computing
- Infrastructures for Social Computing and Networking
- IoT Infrastructures
- NoSQL Databases
- Software Architectures and Design for Trusted Emerging Systems
- Virtualized Computing Infrastructures

APPLICATIONS
- Big Data Applications and Case Studies
- Cloud Business Applications and Case Studies
- Clouds and Social Media, Network and Link Analysis
- Data Intensive Applications
- IoT Applications and Case Studies
- Large Scale Cloud Applications, Reality Mining
- Mobile Cloud Services
- New Parallel / Concurrent Programming Models for Cloud Computing
- Pervasive / Ubiquitous Computing in the Cloud
- Reliability, Fault Tolerance, Quality-of-Service
- Service Level Agreements and Performance Measurement
- Service-Oriented Architectures, RESTful Services in Cloud Environments