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PhD Studentships at the Knowledge Media Institute

The Knowledge Media Institute is currently offering two fully-funded studentships commencing October 2017. Applications are invited from UK, EU and international students for full-time, 3-year study on the following PhD topics. In particular, our research group is looking for PhD students to work on Big Data Analytics, under the supervision of Professor Enrico Motta. We offer the []

The Rexplore team and Springer Nature launch a new collaboration

The Rexplore team and Springer Nature have launched a new research project with the aim of developing new innovative solutions to support business processes in Springer Nature. This new initiative builds on our previous collaborations which focus on two research directions. The first one is Smart Topic Miner, a web application which uses semantic web []

SAVE-SD 2017: a meeting point for the Scholarly Data Community

After the success of the past two editions, the third edition of the Semantics, Analytics, Visualisation: Enhancing Scholarly Data workshop (SAVE-SD) has been recently announced. SAVE-SD aims to bring together publishers, companies and researchers from different fields to bridge the gap between the theoretical and practical aspects in regards to scholarly data. The workshop was []

Strong presence of the Rexplore team at EKAW 2016

Last week Francesco Osborne presented two research papers of our team at the 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2016) in Bologna, Italy. The first one introduces TechMiner, a novel tool which combines NLP, machine learning and semantic technologies, for mining technologies from research publications and generating an OWL ontology describing []

Smart Topic Miner shines at ISWC 2016

Last week Francesco Osborne attended the 15th edition of the International Semantic Web Conference (ISWC 2016) where he presented our work on the Smart Topic Miner (STM), the innovative application developed in collaboration with Springer Nature for automatically classifying research publications. STM was designed to classify proceedings and more in general any collection of articles []

A new solution for classifying scholarly publications: Smart Topic Miner

The process of classifying scholarly outputs is crucial to ensure timely access to knowledge. This process is typically carried out manually by expert editors, leading to high costs and slow throughput. For these reasons, the Rexplore team, in collaboration with Springer Nature, created Smart Topic Miner (STM), a novel solution which uses semantic web technologies []

Rexplore at ISWC 2015

Francesco Osborne attended the 14th edition of the prestigious International Semantic Web Conference where he presented the paper “Klink-2: Integrating Multiple Web Sources to Generate Semantic Topic Networks” in the highly selective research track. The paper introduced Klink-2, the new version of the Klink algorithm for the automatic generation of ontologies of research topics. Klink-2 []

First Prize for Rexplore at ESWC Semantic Publishing Challenge

The groundbreaking Rexplore system for analysing scholarly data was awarded first prize, as Best Semantic Publishing Application, at the “Semantic Publishing Challenge”, which was held in the context of the 11th Extended Semantic Web Conference. Rexplore was chosen from a number of innovative Semantic Web applications by a jury comprising both researchers and commercial publishers. []