Tag Archives: Computer Science Ontology

Klink-2: Automatic generation of large scale taxonomies of research areas

Klink-2 is an application which takes as input large amounts of scholarly metadata and automatically generates an OWL ontology containing all the research areas mined from the input data and their semantic relationships. It was developed to produced large scale ontology of research topics.   The traditional way to address the problem of identifying and […]


Techminer Architecture. TechMiner is a novel approach, which combines natural language processing, machine learning and semantic technologies, for mining technologies from research publications and generating an OWL ontology describing their relationships with other research entities. The resulting knowledge base can support tasks such as: richer semantic search, richer expert search, monitoring the emergence and impact […]

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 analyses […]

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 […]