A Graph DB-Based Solution for Semantic Technologies in the Future Internet

Stefano Ferilli (), Eleonora Bernasconi, Davide Di Pierro and Domenico Redavid
Additional contact information
Stefano Ferilli: Department of Computer Science, University of Bari, 70125 Bari, Italy
Eleonora Bernasconi: Department of Computer Science, University of Bari, 70125 Bari, Italy
Davide Di Pierro: Department of Computer Science, University of Bari, 70125 Bari, Italy
Domenico Redavid: Department of Computer Science, University of Bari, 70125 Bari, Italy

Future Internet, 2023, vol. 15, issue 10, 1-28

Abstract: With the progressive improvements in the power, effectiveness, and reliability of AI solutions, more and more critical human problems are being handled by automated AI-based tools and systems. For more complex or particularly critical applications, the level of knowledge, not just information, must be handled by systems where explicit relationships among objects are represented and processed. For this purpose, the knowledge representation branch of AI proposes Knowledge Graphs, widely used in the Semantic Web, where different online applications may interact by understanding the meaning of the data they process and exchange. This paper describes a framework and online platform for the Internet-based knowledge graph definition, population, and exploitation based on the LPG graph model. Its main advantages are its efficiency and representational power and the wide range of functions that it provides to its users beyond traditional Semantic Web reasoning: network analysis, data mining, multistrategy reasoning, and knowledge browsing. Still, it can also be mapped onto the SW.

Keywords: graph databases; ontologies; Knowledge Graphs; Semantic Web; knowledge representation and reasoning; graph mining; network analysis; knowledge exploration (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1999-5903/15/10/345/pdf (application/pdf)
https://www.mdpi.com/1999-5903/15/10/345/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jftint:v:15:y:2023:i:10:p:345-:d:1264141

Access Statistics for this article

Future Internet is currently edited by Ms. Grace You

More articles in Future Internet from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().