New release: CSO Classifier v2.1

We are pleased to announce that we recently created a new release of the CSO Classifier (v2.1), an application for automatically classifying research papers according to the Computer Science Ontology (CSO). Recently, we have been intensively working on improving its scalability, removing all its bottlenecks and making sure it could be run on large corpus. […]

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CSO Classifier

Classifying research papers according to their research topics is an important task to improve their retrievability, assist the creation of smart analytics, and support a variety of approaches for analysing and making sense of the research environment. In this page, we present the CSO Classifier, a new unsupervised approach for automatically classifying research papers according […]

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Computer Science Ontology

The Computer Science Ontology is a large-scale ontology of research areas that was automatically generated using the Klink-2 algorithm [1] on a dataset of about 16 million publications, mainly in the field of Computer Science. In the rest of the paper, we will refer to this corpus as the Rexplore dataset [2]. The current version of CSO […]

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CityLABS Project

CityLabs is a collaborative project that is grant funded by ERDF. The Open University, ZTE and Fronesys have pooled their skills to create an environment that engages SMEs in research and business development. CityLabs is a place for SMEs to work with academic and industry leaders to develop concepts into prototypes for new products and […]

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Smart Book Recommender

The Smart Book Recommender (SBR) is a semantic application designed to support the Springer Nature editorial team in promoting their publications at Computer Science venues. It takes as input the proceedings of a conference and suggests books, journals, and other conference proceedings that are likely to be relevant to the attendees of the conference in question. It […]

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MK:SMART – Garden Monitor

I joined the project in March 2016 until September 2016, as Project Officer. My activities in this project involved setting up a network of sensors linked to MK Smart Data Hub. These sensors monitor the soil moisture of our users in a trial period, so that we could perform the evaluation of the following technology: Unnecessary […]

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20th Anniversary of KMi

On the 20th of May 2015, my colleagues and I celebrated the 20th anniversary of the Knowledge Media Institute (KMi). The main point of the event was to show how far the KMi has reached as a lab and what is next in the Knowledge Media. The event itself has been organized in two main sessions. […]

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Rexplore: Exploring Research Data

Rexplore leverages novel solutions in large-scale data mining, semantic technologies and visual analytics, to provide an innovative environment for exploring and making sense of scholarly data. In particular, Rexplore allows users: To detect and make sense of important trends in research, such as, significant migrations of researchers from one area to another, the emergence of […]

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