Schema Matching, ie the process of discovering semantic correspondences between
concepts adopted in different data source schemas, has been a key topic in Database and …

In this paper, we propose a new network-based model to uniformly represent the structured,
semi-structured and unstructured sources of a data lake, which is one of the newest and …

Metadata have always played a key role in favoring the cooperation of heterogeneous data
sources. This role has become much more crucial with the advent of data lakes, in which …

In the last two years, we have seen a huge number of debates and discussions on COVID-
19 in social media. Many authors have analyzed these debates on Facebook and Twitter …

Distinct social networks are interconnected via bridge users, who play thus a key role when
crossing information is investigated in the context of Social Internetworking analysis …

In the last years, data lakes are emerging as an effective and an efficient support for
information and knowledge extraction from a huge amount of highly heterogeneous and …

Ontology & schema matching predictors assess the quality of matchers in the absence of an
exact match. We propose MCD (Match Competitor Deviation), a new diversity-based …

Dynamic topic models (DTM) are of great use toanalyze the evolution of unobserved topics
of a text collectionover time. Recent years have witnessed the explosive growth ofstreaming …

Most of the schema matching tools are assembled from multiple match algorithms, each
employing a particular technique to improve matching accuracy and making matching …

The analysis of people's comments in social platforms is a widely investigated topic because
comments are the place where people show their spontaneity most clearly. In this article, we …