posted by organizer: Vzt15 || 3500 views || tracked by 11 users: [display]

DBKDA 2017 : The Ninth International Conference on Advances in Databases, Knowledge, and Data Applications


Conference Series : Databases, Knowledge, and Data Applications
When May 21, 2017 - May 25, 2017
Where Barcelona, Spain
Submission Deadline Jan 26, 2017
Notification Due Mar 3, 2017
Final Version Due Apr 9, 2017
Categories    database   privacy   data management   knowledge representation

Call For Papers


DBKDA 2017, The Ninth International Conference on Advances in Databases, Knowledge, and Data Applications

General page:

Submission page:

GraphSM 2017, The Fourth International Workshop on Large-scale Graph Analysis, Management and Applications

General page:

Submission page:

Event schedule: May 21 - 25, 2017 - Barcelona, Spain


- regular papers [in the proceedings, digital library]

- short papers (work in progress) [in the proceedings, digital library]

- ideas: two pages [in the proceedings, digital library]

- extended abstracts: two pages [in the proceedings, digital library]

- posters: two pages [in the proceedings, digital library]

- posters: slide only [slide-deck posted at]

- presentations: slide only [slide-deck posted at]

- demos: two pages [posted at]

- doctoral forum submissions: [in the proceedings, digital library]

Proposals for:

- mini symposia: see

- workshops: see

- tutorials: [slide-deck posed on]

- panels: [slide-deck posed on]

Submission deadline: January 3, 2017

Sponsored by IARIA,

Extended versions of selected papers will be published in IARIA Journals:

Print proceedings will be available via Curran Associates, Inc.:

Articles will be archived in the free access ThinkMind Digital Library:

The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.

All tracks are open to both research and industry contributions, in terms of Regular papers, Posters, Work in progress, Technical/marketing/business presentations, Demos, Tutorials, and Panels.

Before submission, please check and comply with the editorial rules:

DBKDA 2017 Topics (for topics and submission details: see CfP on the site)

Call for Papers:


Advances in fundamentals on databases

Foundations and architectures; Design features (data quality, performance, robustness, scalability, security, privacy, parallel and distributed approaches, mobility, etc.); Data quality, data structures, and data modeling; Advanced indexing methods; Advanced ranking algorithms and uncertainty; Physical organization and performance; Federated choreographies; Temporal conformance; Evolutionary clustering and dynamic hierarchical clustering

Current ongoing researches

DBaaS Storage; Preference-driven databases; Personalized ranking models; Visual query systems; Reverse rank queries; Searching on process description graphs; Search over relational data streams; Linked data streams; Nearby coalescing; Automatic labelling; Personalized query expansion; Benchmarking replication; Community detection; Risk-adaptive security model; Faceted queries over ontologies; Inclusion dependencies; Periodic-frequent patterns; Dynamic query reordering; Queries for linked data; Footprint reduction; Multi-dimensional indexing; Set similarity join algorithms; Incremental continuous query processing; Linkset views; High-utility itemsets; Reputation estimation; Quality prediction; Approximate query answering; Hidden semantic data models; Temporal extractions; Target-oriented keyword search; Filter-based profile matching; Mutual information on data streams; Stream processing; Digitized documents streams; Queries with binary constraints; Propagation granularity; Processing over raw data; Lossy transformations; Queries on massive time series; Generalized indexing; Answering batch queries; Database task schedulers; Similarity search; Fuzzy object databases; Automated prediction of relationships; Linked data streams and Internet of things; Preferred repairs; Parallel-correctness and transferability; Guarded existential rules; Tree pattern containment; Large datasets; Accessing small data; Skyline queries; Distributed set-joins; Stream sampling; Dynamic graph streams; Dynamic data structures; Nearest neighbor search

Databases and other domains

Leading-edge database technology and applications; Heterogeneous databases interoperability and mediation; Databases and Web services; Databases and artificial intelligence; Databases and agents; Advances in database management systems; Advanced transaction and workflow management; Advances on XML and databases

Databases technologies

Self-managing databases; Mobile databases; Database access; Embedded databases; Very large scale databases; Spatial and spatio-temporal databases; Data warehousing; Multimedia databases; Semantic databases; Data integration resources on the Internet; Object-oriented databases; Web-based databases; Deductive and active databases

Databases content processing

Contextual aggregated information retrieval; Aggregated query for workflows; Mining for complex data; Mining for text, video, and pictures; Knowledge discovery and classification; Process mining; Scalable data extraction; Query processing and optimization; Query rewrite rules; Navigational path expressions; Load-balancing in accessing distributed databases; Incompleteness, inconsistency, uncertainty; Storage and replication; Patterns and similarities in data streams; Fast matching; Multiple views

Knowledge and decision bases

Knowledge representation and management; Knowledge discovery (business intelligence); Semantic information; Ontology and advanced knowledge search; Heuristics and meta-heuristics; Intelligent knowledge querying; Feature sampling and feature selection; Context-aware knowledge base; Blogs and social relationship search; Deductive reasoning; Reasoning databases; Ontology-based reasoning

Specifics on application domains databases

Database applications in Life Sciences; Advanced database applications; Bioinformatics databases; Healthcare databases; Finance and marketing databases; Telecom databases; Geospatial databases; Census databases; Meteorological databases; Business intelligence databases; e-Business databases

XML-driven data, knowledge, databases

Data /dissemination, distributed, processing, management/; XML-data /storage, exchange, compress, metadata/; XML-data and metadata management; XML repositories; Knowledge discovery from XML repositories; XML-data processing /queries, indexing, management, retrieval, mining/; XML data and knowledge /representation, discovery, mining, orchestration/; XML-data in advances environments /clouds, P2P, multimedia, mobile, finance, biotechnologies, geospatial, space/; XML-data and process /data warehouse, workflow, web, learning, control/;

Data privacy

Privacy models; Privacy metrics; Privacy preservation; Watermarking; Data Hiding; Background knowledge; Privacy /data streams, social networks, databases, semantic web/; Privacy mechanisms /cryptography, privacy-aware access control, generalization-based algoritm, perturbation-based algorithm, preservation, sequental releases/; Practical studies /privacy leaking, privacy breach, threats to privacy, privacy in outsourcing/

Data quality and uncertainty

Models, frameworks, methodologies and metrics for data quality; Quality of complex data /documents, semi-structured data, XMLs, multimedia data, graphs, bio-sequences/; Uncertain and noisy data; Uncertain data representation; Processing uncertain data /querying, indexing, mining/; Mining uncertain data/probabilistic, spatially- and temporally- uncertain, uncertain streams/ Data lineage and provenance; Data profiling and measurement; Data integration, linkage and fusion; D uplicate detection and consistency checking; D ata mining and data quality assessment; Quality methods and algorithms / data transformation, reconciliation, consolidation, extraction, cleansing/; User perception on data quality and cleansing;

Data query, access, mining, and correlation

Data access technologies, Query optimisation, Discovering multi-modal correlations; Mining structural data from non-structural mixed-media documents; Data stream mining /frequent patterns, bursty event detection/; Profile mining; Corelation and anomaly in multi-modal-data /social networks, web traffic logs, sale transactions/; Information retrieval on a mixed collections; Multimedia data mining; Data mining system for medical multimedia data; Contents-based image/video retrieval systems

Data and process provenance

Provenance architectures and algorithms; Provenance modelling; Information management for provenance data; Provenance ontology and semantic; Provenance querying; Provenance annotation; Security, trust, and privacy for provenance information; Case studies and practice; Reasoning over provenance; Provenance analytics, mining and visualization

Data management

Distributed Query Languages; Query processing and optimization; Adaptive query processing; Management of mobile data; Managing data privacy and security; Data storage and management; Data stream systems; Data locating; Data warehouse management; Management of dynamic data; Workload adaptability; Transaction management; Performance evaluation and benchmarking or data management

GraphSM 2017 Topics (for topics and submission details: see CfP on the site)

Call for Papers:



Search in graph databases; Algebra and logic of graphs; Expressive power of graph query languages; Formalizations of graph databases


Graph data modelling; Advanced graph data models; Data modelling for specific graph applications


Indexing methods for graph processing; Storage systems for large-scale graph databases; Automatic distribution and replication of graph databases; Storage managers for specific graph applications


Flexible query answering on graph-structured data; SPARQL query processing; Intelligent distribution of SPARQL query processing; Using map-reduce operations for graph processing


Graph pattern matching; Knowledge discovery from graphs; Algorithms for graph database processing; Analysis of graph databases from specific domains; Information retrieval on graph-structured data


Biological and medical graph databases; Graph processing for Social Networks; Visualizing, browsing and navigating graph data; User-interfaces for graph databases


DBKDA 2017 Committee:

GraphSM 2017 Committee:

Related Resources

ECML-PKDD 2017   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery
CIKM 2017   The 26th 2017 ACM Conference on Information and Knowledge Management
ACISP 2017   Australasian Conference on Information Security and Privacy
USENIX Security 2017   USENIX Security '17
ICDM 2017   IEEE International Conference on Data Mining 2017
TrustCom 2017   16th IEEE International Conference On Trust, Security And Privacy In Computing And Communications
DSAA 2017   The 4th IEEE International Conference on Data Science and Advanced Analytics 2017
ICCDA 2017   2017 International Conference on Compute and Data Analysis (ICCDA 2017)—SCOPUS & Ei Compendex
ADBIS 2017   21st European Conference on Advances in Databases and Information Systems
AdCHIReS 2017   Special Issue on Advances in Computer-Human Interaction for Recommender Systems