Zobrazeno 1 - 10
of 210
pro vyhledávání: '"Maurizio Lenzerini"'
Publikováno v:
Frontiers in Artificial Intelligence, Vol 6 (2023)
It is well-known that Artificial Intelligence (AI), and in particular Machine Learning (ML), is not effective without good data preparation, as also pointed out by the recent wave of data-centric AI. Data preparation is the process of gathering, tran
Externí odkaz:
https://doaj.org/article/fcbb10d974a04fde8dc02531e5c1b855
Autor:
Marianna Maranghi, Stefano Leonardi, Andrea Mastropietro, Laura Palagi, Massimiliano Pappa, Riccardo Rosati, Riccardo Valentini, Paola Velardi, Aris Anagnostopoulos, Irene Cannistraci, Ioannis Chatzigiannakis, Federico Croce, Giulia Di Teodoro, Michele Gentile, Giorgio Grani, Maurizio Lenzerini
Publikováno v:
Web of Science
The Associazione Medici Diabetologi (AMD) collects and manages one of the largest worldwide-available collections of diabetic patient records, also known as the AMD database. This paper presents the initial results of an ongoing project whose focus i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2195b086010c9c5f031d60412d506b99
Publikováno v:
AAAI
In the context of the Description Logic DL-Liteℛ≠, i.e., DL-Liteℛ without UNA and with inequality axioms, we address the problem of adding to unions of conjunctive queries (UCQs) one of the simplest forms of negation, namely, inequality. It is
Autor:
Maurizio Lenzerini, Marco Console
Publikováno v:
AAAI
Console, M & Lenzerini, M 2020, Epistemic Integrity Constraints for Ontology-Based Data Management . in Proceedings of the Thirty-fourth AAAI Conference on Artificial Intelligence . pp. 2790-2797, 34th AAAI Conference on Artificial Intelligence, New York, United States, 7/02/20 . https://doi.org/10.1609/aaai.v34i03.5667
Console, M & Lenzerini, M 2020, Epistemic Integrity Constraints for Ontology-Based Data Management . in Proceedings of the Thirty-fourth AAAI Conference on Artificial Intelligence . pp. 2790-2797, 34th AAAI Conference on Artificial Intelligence, New York, United States, 7/02/20 . https://doi.org/10.1609/aaai.v34i03.5667
Ontology-based data management (OBDM) is a powerful knowledge-oriented paradigm for managing data spread over multiple heterogeneous sources. In OBDM, the data sources of an information system are handled through the reconciled view provided by an on
Publikováno v:
CIKM
Given an input dataset (i.e., a set of tuples), query definability in Ontology-based Data Management (OBDM) amounts to finding a query over the ontology whose certain answers coincide with the tuples in the given dataset. We refer to such a query as
Publikováno v:
Next-Gen Digital Services. A Retrospective and Roadmap for Service Computing of the Future-Essays Dedicated to Michael Papazoglou on the Occasion of His 65th Birthday and His Retirement
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Next-Gen Digital Services. A Retrospective and Roadmap for Service Computing of the Future
Next-Gen Digital Services. A Retrospective and Roadmap for Service Computing of the Future ISBN: 9783030732028
Next-Gen Digital Services
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Next-Gen Digital Services. A Retrospective and Roadmap for Service Computing of the Future
Next-Gen Digital Services. A Retrospective and Roadmap for Service Computing of the Future ISBN: 9783030732028
Next-Gen Digital Services
Distributed information systems and applications are generally described in terms of components and interfaces among them. How these component-based architectures have been designed and implemented evolved over the years, giving rise to the so-called
Publikováno v:
LICS
Data integration provides a unified and abstract view over a set of existing data sources. The typical architecture of a data integration system comprises the global schema, which is the structure for the unified view, the source schema, and the mapp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec8d1c040a5e1df680f134402081b6e9
http://hdl.handle.net/11573/1572050
http://hdl.handle.net/11573/1572050
OWL 2 QL is a standard profile of the OWL 2 ontology language, specifically tailored to Ontology-Based Data Management. Inspired by recent work on higher-order Description Logics, in this paper we present a new semantics for OWL 2 QL ontologies, call
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3afafcdf5b94401ab1851fd3d953b47
http://hdl.handle.net/11573/1483956
http://hdl.handle.net/11573/1483956
Publikováno v:
IJCAI
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence
The use of virtual collections of data is often essential in several data and knowledge management tasks. In the literature, the standard way to define virtual data collections is via views, i.e., virtual relations defined using queries. In data and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5f7e91c19b95b09da0b0b0fdb05e8f3
http://hdl.handle.net/11573/1572039
http://hdl.handle.net/11573/1572039
Publikováno v:
KR
In Ontology-Based Data Access (OBDA), a domain ontology is linked to the data sources of an organization in order to query, integrate and manage data through the concepts and relations of the domain of interest, thus abstracting from the technical de