Alessandro Adamou's profile document
Description for Alessandro Adamou
Alessandro Adamou
Alessandro Adamou
Alessandro
Adamou
Research Associate
Alessandro Adamou is a research associate at the Knowledge Media Institute. His main research and software development focus is on the means to make the Semantic Web state of the art available to, and usable by, a variedly specialised public. These means include integrated ontology development environments, dynamic ontology network management, semantic content management and end-user generation of quality Linked Data. Alessandro received his master degree in Computer Science at the University of Rome "La Sapienza", and his Ph.D. at the University of Bologna. In between, he has also worked as a research assistant at the Italian Institute for Cognitive Science and Technologies (ISTC-CNR). Alessandro has been actively involved with the EU research projects NeOn, Interactive Knowledge Stack and LinkedUp, as well as the Listening Experience Database, a joint effort between the OU and Royal College of Music. He is a committer and project management board member at the Apache Software Foundation for the Stanbol software project.
The Open University account for Alessandro Adamou
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Alessandro Adamou's membership at KMi
Alessandro Adamou on LinkedIn
@anticitizen79 (Alessandro Adamou on Twitter)
Alessandro Adamou's participation in MK:Smart
MK:Smart
MK:Smart
2014-01-01
2016-12-31
An innovation programme developing sustainable smart solutions for Milton Keynes
Alessandro Adamou's participation in AFEL
AFEL
AFEL
2015-12-01
2018-11-30
Analytics for Everyday Learning
The goal of AFEL (Analytics for Everyday Learning) is to develop methods and tools to understand informal/collective learning as it surfaces implicitly in online social environments. While Learning Analytics and Educational Data Mining traditionally rely on data from formal learning environments, studies have for a long time demonstrated that learning activities happen for a large part online, in a variety of other platforms. The aim of AFEL is therefore to devise the tools for exploiting learning analytics on such learning activities, in relation to cognitive models of learning and collaboration that are necessary to the understanding of loosely defined learning processes in online social environments.
To achieve this, AFEL gathers a range of skills in a consortium funded by the EU Horizon 2020 programme including experts in data analytics, interaction with data, cognitive models of learning and collaboration, as well as the developers of online social platforms. Concretely, the objectives of this consortium are to 1) develop the tools necessary to capture information about learning activities from online social environments; 2) create methods for the analysis of such informal learning data, based on combining visual analytics with cognitive models of learning and collaboration; and 3) demonstrate the potential of the approach in improving the understanding of informal learning, and the way it can be better supported.
Alessandro Adamou's participation in Listening Experience Database
Listening Experience Database
Listening Experience Database
2013-01-01
2018-03-31
A crowd-sourced linked data resource of documented experiences of listening to music
The Listening Experience Database (LED) project is a collaboration between the Open University and the Royal College of Music. It has been awarded a £0.75m grant over three years from the Arts and Humanities Research Council.
The main purpose of the project is to collate people�s experiences of listening to music. It will also be used to shed light on a wide range of issues, including musical performance and reception, particularly in relation to the RCM's expertise in Western musical traditions.
The project focuses on the building of a large database of personal listening experiences, relating to any culture and repertoire up to the present. It looks at sources such as diaries, memoirs, letters and oral history.
LED is entirely managed and published as Linked Data, and reuses data from external sources (including DBpedia, the British National Bibliography and MusicBrainz) as part of its life-cycle.