Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Giovanni simonini"'
Publikováno v:
Advances in Multimedia, Vol 2015 (2015)
Algorithms and techniques for searching in collections of data address a challenging task, since they have to bridge the gap between the ways in which users express their interests, through natural language expressions or keywords, and the ways in wh
Externí odkaz:
https://doaj.org/article/b7e20b49d550475f9b7ab36e9c783179
Autor:
Luca Gagliardelli, Luca Zecchini, Luca Ferretti, Domenico Beneventano, Giovanni Simonini, Sonia Bergamaschi, Mirko Orsini, Luca Magnotta, Emma Mescoli, Andrea Livaldi, Nicola Gessa, Piero De Sabbata, Gianluca D’Agosta, Fabrizio Paolucci, Fabio Moretti
Publikováno v:
Future Generation Computer Systems. 141:595-610
Publikováno v:
Journal of Data and Information Quality. 12:1-22
We present BLAST2 , a novel technique to efficiently extract loose schema information , i.e., metadata that can serve as a surrogate of the schema alignment task within the Entity Resolution (ER) process, to identify records that refer to the same re
Entity Resolution (ER) aims to identify and merge records that refer to the same real-world entity. ER is typically employed as an expensive cleaning step on the entire data before consuming it. Yet, determining which entities are useful once cleaned
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5132f5d986323f93b532919b2330e9ce
https://hdl.handle.net/11380/1278078
https://hdl.handle.net/11380/1278078
Publikováno v:
Information Systems. 80:136-147
We propose a novel knowledge-based technique for inter-document similarity computation, called Context Semantic Analysis (CSA). Several specialized approaches built on top of specific knowledge base (e.g. Wikipedia) exist in literature, but CSA diffe
Autor:
George Papadakis, Leonidas Tsekouras, Manos Thanos, Nikiforos Pittaras, Giovanni Simonini, Dimitrios Skoutas, Paul Isaris, George Giannakopoulos, Themis Palpanas, Manolis Koubarakis
JedAI is an open-source toolkit that allows for building and benchmarking thousands of schema-agnostic Entity Resolution (ER) pipelines through a non-learning, blocking-based end-to-end workflow. In this paper, we present its latest release, JedAI3 ,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::57cb41897a118996ecdfc930204b7c04
https://zenodo.org/record/3941549
https://zenodo.org/record/3941549
Autor:
Georgios M. Mandilaras, Themis Palpanas, Giovanni Simonini, George Giannakopoulos, George Papadakis, Sonia Bergamaschi, Luca Gagliardelli, Emmanouil Thanos, Manolis Koubarakis
Publikováno v:
Information Systems
Entity Resolution (ER) is the task of detecting different entity profiles that describe the same real-world objects. To facilitate its execution, we have developed JedAI, an open-source system that puts together a series of state-of-the-art ER techni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ae2d99fd6871c519688d051a8f9ba00
https://hdl.handle.net/11380/1203953
https://hdl.handle.net/11380/1203953
Autor:
Antonio Fariña, Georgios M. Mandilaras, George Giannakopoulos, Sonia Bergamaschi, Alicia Lara-Clares, Luca Gagliardelli, Giovanni Simonini, Emmanouil Thanos, Manolis Koubarakis, Themis Palpanas, George Papadakis
Publikováno v:
Information Systems. 102:101830
In Papadakis et al. (2020), we presented the latest release of JedAI , an open-source Entity Resolution (ER) system that allows for building a large variety of end-to-end ER pipelines. Through a thorough experimental evaluation, we compared a schema-
Publikováno v:
Procedia Manufacturing. 11:695-702
Many of the challenges that have to be faced in Industry 4.0 involve the management and analysis of huge amount of data (e.g. sensor data management and machine-fault prediction in industrial manufacturing, web-logs analysis in e-commerce). To handle