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Enrico Motta Member status icon

Professor of Knowledge Technologies
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I am interested in using semantic technologies to deliver intelligent functionalities to users. These functionalities may take several forms, such as i) smart query answering; ii) intelligent selection and composition of semantic services; and iii) intelligent support for navigating and making sense of web resources.

Keys: Knowledge Technologies, Semantic Technologies, Semantic Web, Smart Cities, Big Data, Visual Analytics, Scholarly Data, Problem Solving Methods

Team: Alessandro Adamou, Carlo Allocca, Emanuele Bastianelli, Elizabeth Cano, Mathieu d'Aquin, Enrico Daga, Shuangyan Liu, Francesco Osborne, Angelo Antonio Salatino, Keerthi Thomas, Ilaria Tiddi, Paul Warren, Patrick Wang, Niaz Chowdhury, Pinelopi Troullinou, Andrea Mannocci

News

14 Jul 2017


28 Oct 2016


02 Jul 2016


17 Jun 2016


15 Jun 2016

View all 34 Articles

Publications

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

Publications | Visit External Site for Details 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

Publications | Visit External Site for Details  

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

Publications | Visit External Site for Details  

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

Publications | Visit External Site for Details  

Osborne, F., Salatino, A.A., Birukou, A. and Motta, E. (2016) Smart Topic Miner: Supporting Springer Nature Editors with Semantic Web Technologies, Demo at International Semantic Web Conference 2016, Kobe, Japan

View all 329 publications

Tech Reports

View AbstractDownload PDF

Describing semantic web applications through relations between data nodes
Techreport ID: kmi-14-05
Date: 2014
Author(s): Enrico Daga,Mathieu d'Aquin,Aldo Gangemi,Enrico Motta

View AbstractDownload PDF

Unsupervised data linking using a genetic algorithm
Techreport ID: kmi-11-02
Date: 2011
Author(s): Andriy Nikolov,Mathieu d'Aquin,Enrico Motta

View AbstractDownload PDF

Probabilistic Methods for Data Integration in a Multi-Agent Query Answering System
Techreport ID: kmi-08-05
Date: 2008
Author(s): Miklos Nagy, Maria Vargas-Vera, Enrico Motta

View all 44 Tech Reports

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Research Themes

Jobs

Research Assistant / Associate

Knowledge Media Institute (KMi)
"£29,301 - £38,183"
Based in Milton Keynes
Temporary 15 months contract, commencing Octoberr 2017

The Knowledge Media Institute (KMi) is looking for a Research Assistant or a Research Associate to work on an EU funded project. The Hub4NGI project will strengthen and coordinate the work done by...

ERDF Project Secretary

Knowledge Media Institute (KMi)
"£21,843 - £24,565"
Based in Milton Keynes
Temporary contrat until 30th June 2019

The Open University’s Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM). The unit seeks an experienced Project...

ERDF Project Manager

Knowledge Media Institute (KMi)

Based in Milton Keynes
Temporary contract until 30th June 2019

The Open University’s Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM). The unit seeks an experienced Project...

CONTACT US

Knowledge Media Institute
The Open University
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MK7 6AA
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support

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