Showing all 16 Publications linked to Ilaria Tiddi

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Research Associate
Ilaria Tiddi Photograph

I am a Research Associate at the Data Science Group of the Knowledge Media Institute (KMi), in the U.K.

My area of research is the interaction of robots and cities in the context of the MK:Smart project. I am currently investigating how to use mobile sensors such as robots to dynamically acquire and update knowledge about a smart environment.

During my Ph.D. research, I focused on exploiting Linked Data for Knowledge Discovery. I studied how to use Linked Data as a background...

Keys: Semantic Technologies, Knowledge Representation, Robotics, Knowledge Discovery, Machine Learning


Publications | doi 

Tiddi, I., Bastianelli, E., Bardaro, G., d'Aquin, M. and Motta, E. (2017) An ontology-based approach to improve the accessibility of ROS-based robotic systems, The 9th International Conference on Knowledge Capture, Austin, TX, USA

 

Third, A., Tiddi, I., Bastianelli, E., Valentine, C. and Domingue, J. (2017) Towards the temporal streaming of graph data on distributed ledgers, Workshop: 2nd International Workshop on Linked Data and Distributed Ledgers at ESWC, Portoro�, Slovenia

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Tiddi, I., Bastianelli, E., Daga, E. and d'Aquin, M. (2016) DKA-robo: dynamically updating time-invalid knowledge bases using robots, Demo at 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW2016), Bologna, Italy

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Tiddi, I., Daga, E., Bastianelli, E. and d'Aquin, M. (2016) Update of time-invalid information in Knowledge Bases through Mobile Agents, Workshop: Integrating Multiple Knowledge Representation and Reasoning Techniques in Robotics (MIRROR-16) at 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016), Deajeon, South Korea

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Tiddi, I., d'Aquin, M. and Motta, E. (2016) Learning to Assess Linked Data Relationships Using Genetic Programming, 15th International Semantic Web Conference (ISWC) 2016, Kobe, Japan, Kobe,Japan Proceedings of the 15th International Semantic Web Conference (ISWC) 2016, Kobe, Japan, eds. Yolanda Gil, Elena Simperl, Paul Groth, Freddy Lecue, Markus Krötzsch, Alasdair Gray, Marta Sabou, Fabian Flöck, Hideaki Takeda, Springer

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Tiddi, I., d'Aquin, M. and Motta, E. (2015) Data Patterns explained with Linked Data, Demo at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases

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Tiddi, I., d'Aquin, M. and Motta, E. (2015) An Ontology Design Pattern to Define Explanations, The 8th International Conference on Knowledge Capture (K-CAP 2015), Palisades, New York, USA

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Tiddi, I., d'Aquin, M. and Motta, E. (2015) Using Linked Data Traversal to Label Academic Communities, Workshop: SAVE-SD 2015 at 24th International World Wide Web Conference, Florence

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Tiddi, I., d'Aquin, M. and Motta, E. (2014) Quantifying the bias in data links, 19th International Conference on Knowledge Engineering and Knowledge Management (EKAW2014), Linköping, Sweden

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Tiddi, I., d'Aquin, M. and Motta, E. (2014) Using Neural Networks to aggregate Linked Data rules, 19th International Conference on Knowledge Engineering and Knowledge Management (EKAW2014), Linköping, Sweden

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Tiddi, I., d'Aquin, M. and Motta, E. (2014) Walking Linked Data: A graph traversal approach to explain clusters, Workshop: Fifth International Workshop on Consuming Linked Data (COLD2014) at International Semantic Web Conference 2014, Riva del Garda, Italy

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Tiddi, I., d'Aquin, M. and Motta, E. (2014) Dedalo: looking for Clusters' Explanations in a Labyrinth of Linked Data, 11th Extended Semantic Web Conference, ESWC 2014, Crete

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Tiddi, I. (2013) Explaining data patterns using background knowledge from Linked Data, ISWC 2013 Doctoral Consortium, Sydney, Australia, Lara Aroyo and Natasha Noy

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Tiddi, I., d'Aquin, M. and Motta, E. (2013) Explaining Clusters with Inductive Logic Programming and Linked Data, Poster at ISWC 2013, Sydney, Australia, Eva Blomqvist & Tudor Groza

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Cataldi, M., Ballatore, A., Tiddi, I. and Aufaure, M. (2013) Good Location, Terrible Food: Detecting Feature Sentiment in User-Generated Reviews, Journal of Social Network Analysis and Mining, 3, 4, pp. 1149-1163

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Tiddi, I., Mustapha, N., Vanrompay, Y. and Aufaure, M. (2012) Ontology Learning from Open Linked Data and Web Snippets, Workshop: OTM 2012 Workshops at On the Move to Meaningful Internet Systems, pp. 434-443, Springer Berlin Heidelberg

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WE ACCEPT APPLICATIONS FROM CITIZENS GLOBALLY The Knowledge Media Institute (KMi) is one of the top research centres in the world in the area of knowledge and media technologies, and we offer a creative and flexible working environment. The style, impact and content of our work are described in detail at http://kmi.open.ac.uk/ Your goal is to strengthen KMi's international research reputation and in particular pursue a robust and innovative research agenda in one or more of these...

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Research Assistant / Associate

Knowledge Media Institute (KMi)
£29,799 - £38,833 (Grade AC1 / AC2)
Based in Milton Keynes
Temporary contract until 31st December 2018

WE ACCEPT APPLICATIONS FROM CITIZENS GLOBALLY The Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM) at the Open University. KMi is looking for a Research Assistant or a Research Associate to work on the OU ANALYSE project (http://analyse.kmi.open.ac.uk). The aim of the project is to increase the retention rate at the OU and at the same time to improve the quality of education. Internet technologies...

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