Smart Topic Miner

Smart Topic Miner (STM) is a web application which uses Semantic Web technologies to classify scholarly publications on the basis of Computer Science Ontology (CSO), a very large automatically generated ontology of research areas.   STM was developed to support the Springer Nature Computer Science editorial team in classifying proceedings in the LNCS family. It […]

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Ontology Forecasting in Scientific Literature: Semantic Concepts Prediction based on Innovation-Adoption Priors

“Ontology Forecasting in Scientific Literature: Semantic Concepts Prediction based on Innovation-Adoption Priors” is a peer-reviewed paper presented on Tuesday 22nd November 2016 at the “Entity detection, matching and evolution” session at the 20th International Conference on Knowledge Engineering and Knowledge Management, Bologna, Italy Authors: Amparo Elizabeth Cano-Basave, Francesco Osborne and Angelo Antonio Salatino Abstract: The […]

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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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