Conference Information
ISWC 2021: International Semantic Web Conference
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CCF: b   CORE: a   QUALIS: a1   Viewed: 23877   Tracked: 80   Attend: 7
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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 2021, 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 three committee members, including one senior member. The review criteria used are outlined below.

Before submitting to the research track, authors are asked to consult the calls of the other tracks featured at ISWC 2021 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. The relationship to the core area of the conference needs to be clearly described in the submitted work. Topics in this area 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
    ● 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, complex event processing and stream reasoning
    ● Internet of Things, mobile platforms, cloud environment
    ● Trust, privacy, and security
    ● Social and human aspects of the Semantic Web
    ● Science and Semantic Web
Last updated by Dou Sun in 2021-04-13
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