ASWC 2013 - 1st Australasian Semantic Web Conference

To maintain the high level of quality and impact of the ISWC series, all papers will be reviewed by at least three program committee members and one vice chair of the program committee. To assess papers, reviewers will judge their originality and significance for further advances in the Semantic Web, as well as the technical soundness of the proposed approaches and the overall readability of the submitted papers. We will give specific attention to the evaluation of the approaches described in the papers. We strongly encourage evaluations that are repeatable: preference will be given to papers that provide links to the data sets and queries used to evaluate their approach, as well as systems papers providing links to their source code or to some live deployment.
*Topics Of Interest*
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Topics of interest include, but are not limited to:
● Management of Semantic Web data and Linked Data
● Languages, tools, and methodologies for representing and managing Semantic Web data
● Database, IR, NLP and AI technologies for the Semantic Web
● Search, query, integration, and analysis on the Semantic Web
● Robust and scalable knowledge management and reasoning on the Web
● Cleaning, assurance, and provenance of Semantic Web data, services, and processes
● Semantic Web Services
● Semantic Sensor Web
● Semantic technologies for mobile platforms
● Evaluation of semantic web technologies
● Ontology engineering and ontology patterns for the Semantic Web
● Ontology modularity, mapping, merging, and alignment
● Ontology Dynamics
● Social and Emergent Semantics
● Social networks and processes on the Semantic Web
● Representing and reasoning about trust, privacy, and security
● User Interfaces to the Semantic Web
● Interacting with Semantic Web data and Linked Data
● Information visualization of Semantic Web data and Linked Data
● Personalized access to Semantic Web data and applications
● Semantic Web technologies for eGovernment, eEnvironment, eMobility or eHealth
● Semantic Web and Linked Data for Cloud environments