8th International Conference on Web Intelligence, Mining and Semantics
June 25 – 27 2018, Novi Sad, Serbia

 
 

Aim and Scope

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.)