Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Mirko Cesarini"'
Publikováno v:
Future Generation Computer Systems. 86:319-328
The rapid growth of Web usage for advertising job positions provides a great opportunity for real-time labour market monitoring. This is the aim of Labour Market Intelligence (LMI), a field that is becoming increasingly relevant to EU Labour Market p
Publikováno v:
SAC
In this paper we present GraphDBLP, a tool to query the DBLP bibliography as a graph. The DBLP source data were enriched with semantic similarity relationships computed using word-embeddings. A user can interact with the system either writing queries
GraphDBLP: a system for analysing networks of computer scientists through graph databases: GraphDBLP
This paper presents GraphDBLP, a system that models the DBLP bibliography as a graph database for performing graph-based queries and social network analyses. GraphDBLP also enriches the DBLP data through semantic keyword similarities computed via wor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c53f7615046bb83ef2f5c1ef6654551e
http://hdl.handle.net/10281/176732
http://hdl.handle.net/10281/176732
Online job portals collecting web vacancies have become important media for job demand and supply matching. They also represent a growing research area for the application of analytical methods to study the labour market using innovative data sources
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c7caa4e7750a6f3f9d6dd807720332d
http://hdl.handle.net/10281/189703
http://hdl.handle.net/10281/189703
This paper presents GraphDBLP, a system that models the DBLP bibliography as a graph database for performing graph-based queries and social network analyses. GraphDBLP also enriches the DBLP data through semantic keyword similarities computed via wor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3730::d2a259f0805a005378a61fc8aff0f410
http://hdl.handle.net/11588/707772
http://hdl.handle.net/11588/707772
Publikováno v:
Information Processing & Management. 51:144-166
We live in the Information Age, where most of the personal, business, and administrative data are collected and managed electronically. However, poor data quality may affect the effectiveness of knowledge discovery processes, thus making the developm
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783319712727
ECML/PKDD (3)
ECML/PKDD (3)
The rapid growth of Web usage for advertising job positions provides a great opportunity for real-time labour market monitoring. This is the aim of Labour Market Intelligence (LMI), a field that is becoming increasingly relevant to EU Labour Market p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9d2aa8a07e017cc51462ce2f4ed95b2
https://doi.org/10.1007/978-3-319-71273-4_27
https://doi.org/10.1007/978-3-319-71273-4_27
Autor:
Gabriella Pasi, Mirko Cesarini, Mario Mezzanzanica, Fabio Mercorio, Marco Pappagallo, Stefania Marrara, Marco Viviani
Publikováno v:
WI
This article presents an approach for the identification of potential new occupations, i.e., professions, not yet codified by the international standard taxonomy ISCO. This work is framed within the research activities of the WoLMIS project, develope
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::793e9650736216499701e1c60b1f577b
http://hdl.handle.net/10281/168475
http://hdl.handle.net/10281/168475
Publikováno v:
Intelligenza Artificiale. 8:57-69
Nowadays Information Systems generate a lot of data for supporting the activities of firms, organisations, and state agencies. While on the one hand such data are primarily collected for realising domain-specific services (e.g., state agencies use da
Autor:
Roberto Boselli, Antonio Picariello, Fabio Persia, Mirko Cesarini, Fabio Mercorio, Flora Amato, Vincenzo Moscato, Mario Mezzanzanica
Publikováno v:
ICSC
Today the Web represents a rich source of labour market data for both public and private operators, as a growing number of job offers are advertised through Web portals and services. In this paper we apply and compare several techniques, namely expli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::971678184bd18f530194c8d97d2452b7
http://hdl.handle.net/11588/655713
http://hdl.handle.net/11588/655713