Doctoral Consortium
12th International Baltic Conference on DB and IS (DB&IS2016)
July 3, 2016, Riga, Latvia GOAL The Baltic DB&IS 2016 Doctoral Consortium is intended to bring together PhD students working on techniques, tools and foundations of databases, information systems and related fields and to give them the opportunity to:
- Present their research work in a relaxed and supportive environment;
- Discuss their work and receive constructive feedback from leading researchers;
- Network with peers and future colleagues.
- Submission: February 08, 2016February 22, 2016
- Notification: March 15, 2016
- Camera‐ready: April 01, 2016 April 22, 2016
- Doctoral Consortium: July 3, 2016
E-mail for paper submissions and inquiries: dbis2016-dc@lu.lv
SUBMISSION PhD students are invited to submit papers up to 6 pages describing their current work. Topics should be in line with the main conference topics:- Big Data Applications and Cloud Computing
- Big Data Integrity and Privacy
- Big Data Processing and Analysis
- Big Data And Semantics
- Business Process Modeling
- Data and Knowledge Management
- Data Integration and Security
- Data Mining and Knowledge Discovery
- Data Services and Cloud Computing
- Data Warehousing
- Distributed Data Integration and Cloud Computing
- Domain-oriented IS
- E-services, e-government, e-business, e-learning
- Human Computer Interaction
- Information Systems and AI Technologies
- IS Engineering and Integration
- IS, Mobile Computing, and Agents
- Knowledge Engineering and Databases
- Linguistic Components of IS
- Integrated and Interoperable Database Technologies
- Linked Data and Linked Open Data
- Linked Data Integration, Queering, Reasoning, and Schema Learning
- Ontology Applications
- Ontology Engineering
- Privacy, Trust and Security in IS
- Requirements Engineering for IS
- Semantic Annotation and Semantic Interoperability
- Semantic Technologies for IS
- Semantic-driven IS Design Methodologies
- Service Oriented Information Systems
- Social Web Mining
- Stream Data Processing
- Web Information Systems
- Web-scale Data Management
- Introduction and Motivation
Provide an introduction and highlight the importance of the topic.
- State of the Art
Describe related work or studies that might be useful for realising your PhD. Discuss how your research could improve the state of the art.
- Problem Statement
Formulate the problem you intend to solve. Discuss how your contribution will target this problem. This section should clearly formulate research hypothesis(-es) and/or research question(s) that will be considered to solve the identified problem.
- Research Method
Describe your research method, including the steps from the formulation of your research questions to answering them.
- Results
Report the results achieved up to now in applying your approach.
- Evaluation / Validation Plan
Describe how you plan to validate your results. For early stage PhD submission, this might be only partially defined. For late stage PhD submission, you might have some evaluation results to report.
- Conclusion
Describe how your results would or might impact research or existing practice.
- Acknowledgement
The paper should be authored by the Doctoral student only. Acknowledgements to the supervisor can be included here.
- Audronė Lupeikienė, Vilnius University, Lithuania
- Uldis Bojārs, University of Latvia, Latvia
- Raimundas Matulevičius, University of Tartu, Estonia