Award winning participation at K-CAP

Every two years the ACM conference highlights significant research on the extraction of knowledge from diverse information sources. Main themes this year included capturing Scientific Knowledge, acquisition of complex Logical Knowledge, Knowledge Processing  with Big Data and Semantic Web Technologies such Linked Data, Knowledge Extraction from structured and unstructured sources, Crowdsourcing, and Knowledge Base Learning. The acceptance rate at this conference was 29%.

The conference launched this year. The 1st International Workshop on Capturing Scientific Knowledge (SciKnow 2015), where KMier Alan Third presented "Capturing Scientific Knowledge on Medical Risk Factors.” coauthored with KMi Director John Domingue, in collaboration with Eleni Kaldoudi, Stefanos Roumeliotis, and Kalliopi Pafili (Democritus University of Thrace), and George Gkotsis (ex-KMi, now King’s College London).

Three out of sixteen papers in the main conference track were contributions from KMi

Thomas Dickinson presented "Identifying Prominent Life Events on Twitter”, a paper written in collaboration with Miriam Fernandez, Paul Mulholland, Harith Alani and Lisa A Thomas Pam Briggs from the Northumbria University (presentation slides).
The second paper was "An Ontology Design Pattern to Define Explanations”, a work by Ilaria Tiddi, Mathieu d’Aquin and Enrico Motta, in the session dedicated to Ontology Engineering.
Finally, Enrico Daga presented "Propagation of Policies in Rich Data Flows”, co-authored with Mathieu d’Aquin, Enrico Motta and Aldo Gangemi (ISTC-CNR, Italy and Université Paris 13, France), during the closing session on Ontology and Knowledge Base Learning (slides).
Mathieu d’Aquin continued to participate in steering the committee, and chaired the session dedicated to K-Cap 2013, including papers from the proceedings of the previous edition of the conference, cancelled due to weather conditions in 2013.
While waiting for the next edition in 2017, you can check out the proceedings.



Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support


If you have any comments, suggestions or general feedback regarding our website, please email us at the address below.

Email: Digital Development Services