Abbrevation
WIMS
City
Limassol
Country
Cyprus
Deadline Paper
Start Date
End Date
Abstract

Areas of interest include, but not limited to:<br>WIMS solicits regular and work&#8211;in&#8211;progress research, discussion papers and industry experience report papers in related fields&#046; Papers exploring new directions or areas are also welcome&#046; In particular but not exclusively the submissions within the following major areas are relevant:<br>Scalable Web and Data Architectures and Infrastructures<br>Crawling, caching and querying Linked (Semantic) Data<br>Dataset dynamics and synchronization<br>Big Data computing<br>User Interfaces and visualization for the Web of (Linked Semantic) Data at scale<br>Indexing and information extraction from the (Semantic) Deep Web<br>3D media and content<br>Sensing Web and the Web of Things<br>Web&#8211;based Health&#8211; and Bio&#8211; Information Systems<br>Web security, integrity, privacy, and trust<br>Nature&#8211;inspired models and approaches in Web and data processing infrastructures<br>Web Intelligence<br>Semantic Agent Systems for Web intelligence<br>Advanced Interaction and Communication Paradigms with Web intelligence<br>Natural Language / Ontology&#8211;/Taxonomy&#8211;based / Hybrid Interfaces<br>Intelligence for Visualizing (Linked Semantic) Web Data at scale<br>Intelligence for Big Data Analytics<br>Ubiquitous Intelligence and the Internet of Things<br>Web Intelligence in Social Media<br>Web Intelligence in Human Computation and Social Games<br>Opinion Mining / Sentiment Analysis on the Social Web<br>Social Monetization and Computational Advertising<br>Visualising social network data<br>Web intelligence for services, grids, and middleware<br>Nature&#8211;inspired Models and approaches for Web Intelligence<br>Web Mining, Information and Knowledge Extraction<br>Text, data stream, web and multimedia content mining<br>Contextualization and clustering in web mining and information extraction<br>Knowledge extraction and ontology learning from the Web<br>Linked Data mining<br>Information Extraction and Knowledge Discovery from Big Data<br>Mining and Information Extraction from the Deep Web<br>Semantic Deep Web data fusion<br>Web Semantics and Reasoning<br>Knowledge Representation for the Web<br>Ontology specification: expressivity versus usability<br>Ontologies and Linked Semantic Data<br>Development and re&#8211;use of ontologies for the Web<br>Crowdsourcing for ontology engineering and management on the Social Web<br>Lifecycle, management, and evolution of Web ontologies<br>Ontology merging and alignment<br>Rule markup languages and systems<br>Semantic annotation<br>Reasoning: scalability, expressivity, incompleteness, vagueness, and/or uncertainty<br>WIMS Applications<br>Web applications of semantic agent systems<br>Semantics&#8211;driven information retrieval<br>Semantic search<br>Intelligent e&#8211;Technology and the Semantic Web<br>Intelligence and semantics for business information management and integration<br>Intelligence and semantic technologies in Digital Media<br>Semantic technologies in e&#8211;Business, e&#8211;Commerce, e&#8211;Finance, e&#8211;Health and e&#8211;Science, e&#8211;Government, e&#8211;Learning<br>Web Intelligence for multimedia, sensors, and situational awareness<br>Web Intelligence for software and systems engineering<br>Quality of Life Technology for Web Access<br>Nature&#8211;inspired models and approaches in WIMS applications<br>Evaluation and Validation of WIMS Technologies and Applications<br>Evaluation and validation Methodologies<br>Datasets and Benchmarks for cross&#8211;evaluations and competitions<br>Evaluation and validation Infrastructures<br>Evaluation and validation metrics (e&#046;g&#046; fitness, quality, completeness, correctness, etc&#046;)<br>