Automated subject indexing using word embeddings and controlled vocabularies: a comparative study
- Michalis Sfakakis,
- Leonidas Papachristopoulos,
- Kyriaki Zoutsou,
- Christos Papatheodorou,
- Giannis Tsakonas
Text mining methods contribute significantly to the understanding and the management of digital content, increasing the potential of entry links. This paper introduces a method for subject analysis combining topic modelling and automated labelling of the ...
EPIC: an iterative model for metadata improvement
This paper provides a case study of iterative metadata correction and enhancement at the University of North Texas (UNT), within a model that we have developed to describe this process: Evaluate, Prioritise, Identify, Correct (EPIC). These steps are ...
What process can a university follow for open data? The University of Crete case
All public bodies in Greece, including universities, are obliged to comply with the national legal framework and policy on open data. An emerging concern is how such a big and diverse organisation could develop supporting procedures from an administrative,...
An ontology proposal for a corpus of letters of Vincenzo Bellini: formal properties of physical structure and the case of rotated texts
In this paper the formal OntoBelliniLetters ontology is described concerning the corpus of Vincenzo Bellini's letters kept at the Belliniano Civic Museum of Catania. This ontology is part of a wider project - the BellinInRete project - one of whose aims ...
Making heterogeneous smart home data interoperable with the SAREF ontology
SAREF is an ontology created to enable interoperability between smart devices, but there is a lack in the literature of practical examples to implement SAREF in real applications. We validate the practical implementation of SAREF through two approaches. ...
