Semantic Web Research Papers

Semantic Web Research Papers-50
In 2001, Tim Berners-Lee, inventor of the World Wide Web, published an article in Scientific American.

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While we welcome work that relates to the W3C Semantic Web recommendations (e.g., RDF, OWL, SPARQL, etc.), we also encourage contributions to research at the intersection of Semantic Web and other scientific disciplines.

Submissions to the research track should describe original, significant, and replicable research on the Semantic Web.

For example, say “Previously, Ghidini and Hartig [7] have shown that…”, rather than “In our previous work [7] we have shown that…”.

Try to avoid including any information that would identify the authors or their affiliations.

We also strongly encourage papers that provide links to the data sets, source code, queries used to evaluate their approach, and/or live deployments.

All papers will be assessed by a program committee.All papers and abstracts have to be submitted electronically via Easy Chair.All research submissions must be in English, and no longer than 16 pages (including references).All papers must include method evaluations that are rigorous, repeatable and reproducible.This will be one of the key paper reviewing criteria.Languages, tools, and methodologies for representing and managing semantics and data on the Web Programming the Semantic Web Architectures and algorithms for extreme volume, heterogeneity, dynamicity, and decentralization of Semantic Web data Cleaning, quality assurance, and provenance of Semantic Web data, services, and processes Ontology-based data access and integration/exchange on the Web Ontology engineering and ontology patterns for the Web Ontology modularity, mapping, merging, and alignment for the Web Search, query, integration, and analysis on the Semantic Web Supporting multi-linguality in the Semantic Web Question answering over Linked Data and ontologies Information visualization and exploratory analysis methods for Semantic Web data Semantic social network mining, analysis, representation, and management Crowdsourcing semantics; methods, dynamics, and challenges Geospatial semantics and data on the Web Data streams and the Internet of Things Semantic technologies for mobile platforms Trust, privacy, and security on the Semantic Web Semantic Web and Linked Data for cloud environments Access control and privacy in semantic data Reviews and Review Criteria Papers in this track will be reviewed according to the following criteria: Originality Novelty Relevance and impact of the research contributions Soundness Rigour and reproducibility of the evaluation of the work Clarity and quality of presentation Grounding in the literature Authors will have the opportunity to submit a rebuttal to the reviews to clarify questions posed by program committee members.Submission Pre-submission of abstracts is a strict requirement.For details on the LNCS style, see Springer’s Author Instructions.For HTML submission guidance, please see the HTML submission guide.Since its introduction only a decade before, the web had fast become the world’s best means for sharing documents with other people.Now, the authors promised, the web would evolve to encompass not just documents but every kind of data one could imagine. The great promise of the Semantic Web was that it would be readable not just by humans but also by machines.


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