This paper intends to apply the Latent Semantix Indexing approach to ESCO, the European language for labour description and coding, overcoming the limits attributable to the current querying instruments. This objective is strategic to bridge the gap existing between ESCO repository, whose richness and granularity suggests to adopt it as a current operative language for labour processes management, and the users' current language, not always able to select the proper keywords to satisfy their information needs. The paper also discusses an application of the proposed approach to testing and debugging of ESCO linguistic objects, intending to identify redundancies and anomalies in the overall knowledge base.
A similarity matrix approach to empower ESCO interfaces for testing, debugging and in support of users’ experience / Adham Kahlawi, Cristina Martelli, Lucia Buzzigoli, Laura Grassini. - ELETTRONICO. - (2020), pp. 904-909. (Intervento presentato al convegno Riunione Scientifica della Società Italiana di Statistica - 2020 tenutosi a Pisa).
A similarity matrix approach to empower ESCO interfaces for testing, debugging and in support of users’ experience
Adham Kahlawi;Cristina Martelli;Lucia Buzzigoli;Laura Grassini
2020
Abstract
This paper intends to apply the Latent Semantix Indexing approach to ESCO, the European language for labour description and coding, overcoming the limits attributable to the current querying instruments. This objective is strategic to bridge the gap existing between ESCO repository, whose richness and granularity suggests to adopt it as a current operative language for labour processes management, and the users' current language, not always able to select the proper keywords to satisfy their information needs. The paper also discusses an application of the proposed approach to testing and debugging of ESCO linguistic objects, intending to identify redundancies and anomalies in the overall knowledge base.File | Dimensione | Formato | |
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