The call for participation to the world’s first smart city robot competition was officially closed on June 30th. 15 teams from 8 countries will be competing across 5 different robotic tasks (or episodes). Episode 3 – Coffee shop order delivery This episode, sponsored by Costa Coffee, will see robot waiters attempting to manage order deliveries in […]
Smart Topic Miner Smart Topic Miner (STM) is an application that assists the Springer Nature editorial team in classifying the scientific literature in Computer Science in terms of a catalogue of about 15K research topics, with a very high degree of accuracy. This catalogue was itself generated by our team using a highly innovative knowledge […]
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 repository, we present the CSO Classifier, a new unsupervised approach for automatically classifying research papers according […]
Congratulations to Angelo Salatino for succeeding in his viva! On 31st May 2019, Angelo Salatino successfully defended his PhD thesis on Early Detection of Research Trends. The thesis is a body of research work over the last three years leading to a successful system that identifies the emergence of new research topics up to two […]
Last week, DARIAH EU The Digital Research Infrastructure for the Arts and Humanities (DARIAH) aims to enhance and support digitally-enabled research and teaching across the arts and humanities. Last week, Enrico Daga joined digital humanities researchers and practitioners at the DARIAH annual event 2019 in Warsaw and reported on the latest achievements of the LED […]
The first meeting of the Artificial Intelligence and Music WG has been held in Warsaw, May 17, within the DARIAH Annual Event, featuring an introductory keynote by Lev Manovich. The Artificial Intelligence and Music WG – led by Albert Meroño-Peñuela (Vrije Universiteit Amsterdam) and Enrico Daga (ISDS – KMi, The Open University) – has been created to […]
Last 11th April, Dr Enrico Daga visited University of Bologna to give a seminar with students of the Degree programme (LM) in Digital Humanities and Digital Knowledge. He presented his research on hybridising statistical NLP and Semantic Web technologies to support humanist scholars and discussed the recent developments of the AHRC-funded LED Project. The talk focused […]
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. […]
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 […]
Eduvocation scales up thanks to CityLABS collaboration. The CityLABS technical support team led by Dr Enrico Daga contributed to the development of a geospatial navigation of job adverts, released on October 2018. After that, the user based increased significantly, 10 times as much in applications, 5 times as much in users. Eduvocation reported a growth […]
Scholarly Knowledge Mining
Digital Humanities
Data Science
Smart Cities and Robotics
You must be logged in to post a comment.