Emanuele Della Valle (Politecnico di Milano) will talk at LiU about Stream Reasoning

Postad i: Uncategorized den 21 September, 2017 av Olaf Hartig

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On October 5 (Thursday), Emanuele Della Valle of Politecnico di Milano, Italy, will give a Semantic Web related talk at LiU. The title of his talk is:

Stream Reasoning: A Summary of Ten Years of Research and a Vision for the Next Decade

Abstract: Stream reasoning studies the application of inference techniques to data characterised by being highly dynamic. It can find application in several settings, from Smart Cities to Industry 4.0, from Internet of Things to Social Media analytics. This year stream reasoning turns ten, and this talk analyses its growth. In the first part, it traces the main results obtained so far, by presenting the most prominent studies. It starts by an overview of the most relevant studies developed in the context of semantic web, and then it extends the analysis to include contributions from adjacent areas, such as database and artificial intelligence. Looking at the past is useful to prepare for the future: the second part presents a set of open challenges and issues that stream reasoning will face in the next future.

Time and date: 9.00am, October 5, 2017

Location: Campus Valla, Building E, Room “Alan Turing”


 

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Semantic Web research at LiU

The Semantic Web is an extension of the traditional Web towards having machine processable content and interlinked data on the Web, with well-described semantics.

Ideally we would be able to view the whole Web as a large set of interconnected databases, which can be queried and browsed by software systems as well as human users. Semantic Web research at LiU includes areas such as ontologies and ontology engineering (ontology design patterns, ontology alignment and completion, ontology and alignment visualisation), graph databases and triple stores, querying the Web of data, RDF stream processing and complex event processing, as well as applications of these technologies in a number of fields, including open data, security, decision support systems, e-health and e-science, etc.

The aim of this blog is to report on the activities of our research group, and make results accessible to a wider audience.

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