Conference Information
ISWC 2020: International Semantic Web Conference
https://iswc2020.semanticweb.org/
Submission Date:
2020-03-27
Notification Date:
2020-06-19
Conference Date:
2020-11-02
Location:
Athens, Greece
Years:
19
CCF: b   CORE: a   QUALIS: a1   Viewed: 17368   Tracked: 71   Attend: 6

Conference Location
Call For Papers
The International Semantic Web Conference is the premier venue for presenting fundamental research, innovative technology, and applications concerning semantics, data, and the Web.

In this track of ISWC 2020, we are looking for novel and significant research contributions addressing theoretical, analytical and empirical aspects of the Semantic Web. 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 the Semantic Web and other scientific disciplines. Submissions to the research track should describe original, significant, and replicable research on the Semantic Web. All papers must include method evaluations that are rigorous, repeatable and reproducible. This will be one of the key reviewing criteria. We also strongly encourage papers that provide links to the data sets, source code and queries used to evaluate their approach, and/or live deployments.

All papers will be assessed by the track program committee. Each paper will be reviewed by at least four committee members, including one senior member. The review criteria used are outlined below.

After a successful first edition, the ISWC Reproducibility Initiative is running for the second time at ISWC2020. The Reproducibility Initiative is open to the accepted papers of the ISWC Research Track that have some significant experimental results that are amenable to be reproducible.

Before submitting to the research track, authors are asked to consult the calls of the other tracks featured at ISWC 2020 and to choose the track that best suits their contribution. The submission of the same work to multiple tracks is not allowed and may result in a rejection of the work across all tracks without a review.

Topics of Interest

We encourage papers that directly contribute to the advancement of the Semantic Web area. Topics include, but are not limited to:

    Databases and Ontology-based data access, integration and exchange on the Web
    Information retrieval and semantic analysis
    Semantic approaches in and for Information Extraction
    Knowledge Driven NLP
    Artificial intelligence techniques (e.g. planning, game theory) for the Semantic Web
    Multi-agent and autonomous systems
    Knowledge representation and reasoning
    Knowledge graphs (e.g. construction, maintenance, reasoning) and virtual knowledge graphs
    Machine learning and data mining methods for Semantic Web data, ontology induction and discovery in Linked data 
    Data mining and knowledge Knowledge-driven ML and data mining
    Ontology based neural symbolic reasoning and learning
    Robust and scalable management of semantics and data
    Processing and storage of semantic data on the blockchain
    Methods to investigate and catalogue semantic primitives used in ontology definitions
    Multi-modal and multi-lingual access
    Multi-modal semantic reasoning
    Programming the Semantic Web
    Architectures and algorithms for extreme volume, heterogeneity, dynamicity, and decentralization
    Cleaning, quality assurance, and provenance of Semantic Web data, services, and processes
    Ontology engineering and ontology patterns
    Ontology modularity, mapping, merging, and alignment
    Search, Query, Integration and Analysis on the Semantic Web and Knowledge Graphs
    Question answering and dialogues over Linked Data, Ontologies and Knowledge Graphs 
    Information visualization and exploratory analysis methods
    Semantic social network mining, analysis, representation, and management
    Crowdsourcing semantics; methods, dynamics, and challenges
    Geospatial semantics and data
    Data streams, Internet of Things, mobile platforms, cloud environment
    Trust, privacy, and security
Last updated by Dou Sun in 2020-03-28
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