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 […]
The Designing Buildings Wiki (https://www.designingbuildings.co.uk) is an online Wiki publicly accessible by the general public and maintained by Designing Buildings Ltd. It contains over 7500 articles and concepts related to building construction, civil and structural engineering, architecture, policies, legislation and much more.By leveraging state-of-the-art Natural Language Processing (NLP) and Machine Learning (ML) techniques, the CityLABS […]
Abstract. 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 paper, we present the CSO Classifier, a new unsupervised approach for automatically classifying research papers […]
The Knowledge Media Institute (KMi) of The Open University and Springer Nature are partnering to provide a comprehensive Computer Science Ontology (CSO) to a broad range of communities engaged with scholarly data. CSO can be accessed free of charge through the CSO Portal, a web application that enables users to download, explore, and provide feedback […]
In November 2018, CityLabs and Akeman Solutions successfully began trialling IoT and Blockchain technologies to support the development of the Hygieneat smartphone app. The trial takes place in one of the restaurants located in the Open University (OU) campus in Milton Keynes. In particular, researchers in the Intelligent Systems and Data Science (ISDS) group at […]
The CityLabs team have so far connected with over 70 SMEs in the region and provided valuable business and technical support, as well as forming research collaborations. Across all categories of awards, SMEs who have engaged with CityLABS were well represented. The CityLabs Innovation Award was won by LivingWell at Home. Emma Luddington and the […]
Scholarly Knowledge Mining
Digital Humanities
Data Science
Smart Cities and Robotics
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