Enrico Motta, Professor of Knowledge Technologies - Knowledge Media Institute - The Open University

My research spans a variety of aspects related to semantic technologies and knowledge engineering, including ontology engineering, semantic web, knowledge-intensive problem solving, interfaces to knowledge-based systems, question answering, intelligent data integration, semantic search, and foundational issues. Consistently with the ethos of the Knowledge Media Institute practically all my projects focus on concrete user-centric functionalities, developed through scalable solutions, which typically integrate semantic and other technologies, such as computational linguistics and machine learning.

KMi supports Fight Against Hate Campaign in Milton Keynes

KMi supports Fight Against Hate Campaign in Milton Keynes

20 Jul 2017

On Wednesday, July 19th, the Open University Library welcomed students from five local schools to celebrate their participation in a poster competition about fighting hate crime and hate incidents in...

WOSP2017 - Touchdown Toronto

19 Jul 2017

Since 2012, members of KMi’s CORE team, headed by Petr Knoth, have orchestrated the WOSP (Workshop On mining Scientific Publications) held each year as a part of JCDL (Joint Conference on...

What is a smart city?

05 Jan 2016

How can data, technology and smart infrastructure be used to future-proof our cities? What’s the role of citizens in shaping their design and development? Find out about all this and more by...

Petr Knoth @petrknothThursday 20 Jul 2017RT @wospworkshop: The 6th Annual Int'l WOSP workshop at was held at @UofT as part of @jcdl2017 Read all about it here.. @oacore #kmiou http…

SmartCitiesWorld @SmartCitiesWThursday 20 Jul 2017@Huawei and @mkcouncil combine for #smartcity innovation @MKSmartProject #miltonkeynes #smartcities https://t.co/ANeDzBks9c

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MK:Smart - Overview from Enrico Motta

Publications | Visit External Site for Details

Publications | doi

Liu, S., d'Aquin, M., , . and Motta, E. (2017) Measuring Accuracy of Triples in Knowledge Graphs, International Conference on Language, Data and Knowledge, Galway, Ireland, 10318, pp. 343-357, Springer, Cham

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Publications | doi

Daga, E., d'Aquin, M., Motta, E. and Gangemi, A. (2016) An Incremental Learning Method to Support the Annotation of Workflows with Data-to-Data Relations, Knowledge Engineering and Knowledge Management, pp. 129-144, Springer

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Osborne, F., de Ribaupierre, H. and Motta, E. (2016) TechMiner: Extracting Technologies from Academic Publications, 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2016), Bologna, Italy

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Osborne, F., Salatino, A.A., Birukou, A. and Motta, E. (2016) Automatic Classification of Springer Nature Proceedings with Smart Topic Miner, 15th International Semantic Web Conference, Kobe, Japan

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