Unleashing the power of querying streaming data in a temporal database world: A relational algebra approach

F Grandi, F Mandreoli, R Martoglia, W Penzo - Information Systems, 2022 - Elsevier
Modern data-intensive applications have to manage huge quantities of streaming/relational
data and need advanced query capabilities involving combinations of continuous queries …

From data integration to big data integration

S Bergamaschi, D Beneventano, F Mandreoli… - A Comprehensive Guide …, 2018 - Springer
Abstract The Database Group (DBGroup, www. dbgroup. unimore. it) and Information
System Group (ISGroup, www. isgroup. unimore. it) research activities have been mainly …

Employee attitudes and (digital) collaboration data: A preliminary analysis in the HRM field

T Fabbri, F Mandreoli, R Martoglia… - … and Networks (ICCCN …, 2019 - ieeexplore.ieee.org
The digital transformation of organizations is making workplace collaboration more and
more powerful and work always" observable"; however, the informational and managerial …

A framework for user-driven mapping discovery in rich spaces of heterogeneous data

F Mandreoli - On the Move to Meaningful Internet Systems. OTM …, 2017 - Springer
Data analysis in rich spaces of heterogeneous data sources is an increasingly common
activity. Examples include exploratory data analysis and personal information management …

Semantic, integrated keyword search over structured and loosely structured databases

X Lu - 2020 - digitalcommons.njit.edu
Keyword search has been seen in recent years as an attractive way for querying data with
some form of structure. Indeed, it allows simple users to extract information from databases …

SocialGQ: Towards semantically approximated and user-Aware querying of social-graph data

R Martoglia - Proceedings of the International Conference on …, 2018 - iris.unimore.it
The proliferation of social and collaborative sites makes users increasingly active in the
generation of socialgraph data; however, such sea of data often hinders them from finding …

[引用][C] UNIVERSITA'DEGLI STUDI

DI MODENA, R EMILIA

[引用][C] Using the GeX Approach for Approximate Matching on Graph Databases

GB Reddy - 2016 - Rochester Institute of Technology

[引用][C] Implementing GEX-A Framework for approximating complex queries on graph-modeled data

V Tantry