WIMS 2019 - 9th International Conference on Web Intelligence, Mining and Semantics

WIMS is a series of peer-reviewed International Computer Science conferences. It is a forum for researchers and practitioners to present their state-of-the-art results in building Intelligent Web, to examine performance characteristics of various approaches in Web-based intelligent information technology, and to cross-fertilize their ideas on the development of Web-based intelligent information management solutions across different domains.
The purpose of the WIMS series is:
To provide a forum for established researchers and practitioners to present their contributions to the state of the art research and development in Web technology and applications.
To give doctoral students an opportunity to present their research to a friendly and knowledgeable audience and receive valuable feedback.
To provide an informal social event where Web technology researchers and practitioners can meet.
WIMS traditionally hosts a small number of short tutorials on the topics related to the scope of the conference series. The role of a WIMS tutorial is to be a theme-oriented comprehensive survey. WIMS also offers its infrastructure and facilities for the organizers of satellite workshops that complement the scope of the conference. The calls for WIMS’17 Tutorials and Workshops are published separately.
WIMS solicits regular and work-in-progress research, discussion papers and industry experience report papers in related fields. Papers exploring new directions or areas are also welcome. In particular but not exclusively the submissions within the following major areas are relevant:
Scalable Web and Data Architectures and Infrastructures
Crawling, Caching and Querying Linked (Semantic) Data
Dataset Dynamics and Synchronization
Big Data Computing
User Interfaces and Visualization for the Web of (Linked Semantic) Data at Scale
Indexing and Information Extraction from the (Semantic) Deep Web
3D Media and Content
Sensing Web and the Web of Things
Web-Based Health- and Bio- Information Systems
Web Security, Integrity, Privacy, and Trust
Nature-Inspired Models and Approaches in Web and Data Processing Infrastructures
Web Intelligence (WI)
Semantic Agent Systems for WI
Advanced Interaction and Communication Paradigms with WI
Natural Language / Ontology-/Taxonomy-based / Hybrid Interfaces
Intelligence for Visualizing (Linked Semantic) Web Data at scale
Intelligence for Big Data Analytics
Ubiquitous Intelligence and the Internet of Things
WI in Social Media
WI in Human Computation and Social Games
Opinion Mining / Sentiment Analysis on the Social Web
Social Monetization and Computational Advertising
Visualizing Social Network Data
WI for Services, Grids, and Middleware
Nature-Inspired Models and Approaches for WI
Web Mining, Information and Knowledge Extraction
Text, Data Stream, Web and Multimedia Content Mining
Contextualization and Clustering in Web Mining and Information Extraction
Knowledge Extraction and Ontology Learning from the Web
Linked Data Mining
Information Extraction and Knowledge Discovery from Big Data
Mining and Information Extraction from the Deep Web
Semantic Deep Web Data Fusion
Web Semantics and Reasoning
Knowledge Representation for the Web
Ontology Specification: Expressivity Versus Usability
Ontologies and Linked Semantic Data
Development and Re-Use of Ontologies for the Web
Crowdsourcing for Ontology Engineering and Management on the Social Web
Lifecycle, Management, and Evolution of Web Ontologies
Ontology Merging and Alignment
Rule Markup Languages and Systems
Semantic Annotation
Reasoning: Scalability, Expressivity, Incompleteness, Vagueness, and/or Uncertainty
WIMS Applications
Web Applications of Semantic Agent Systems
Semantics-Driven Information Retrieval
Semantic Search
Intelligent E-Technology and the Semantic Web
Intelligence and Semantics for Business Information Management and Integration
Intelligence and Semantic Technologies in Digital Media
Semantic Technologies in E-Business, E-Commerce, E-Finance, E-Health, E-Science, E-Government, E-Learning
WI for Multimedia, Sensors, and Situational Awareness
WI for Software and Systems Engineering
Quality of Life Technology for Web Access
Nature-Inspired Models and Approaches in WIMS Applications
Evaluation and Validation of WIMS Technologies and Applications
Evaluation and Validation Methodologies
Datasets and Benchmarks for Cross-Evaluations and Competitions
Evaluation and Validation Infrastructures
Evaluation and Validation Metrics (e.g., Fitness, Quality, Completeness, Correctness, etc.)