Publications

Implementation of a framework for graph-based keyword search over relational data  (2023)

Authors:
Cozza, Vittoria
Title:
Implementation of a framework for graph-based keyword search over relational data
Year:
2023
Type of item:
Articolo in Rivista
Tipologia ANVUR:
Articolo su rivista
Language:
Inglese
Referee:
Name of journal:
INTERNATIONAL JOURNAL OF INTELLIGENT INFORMATION AND DATABASE SYSTEMS
ISSN of journal:
1751-5858
N° Volume:
16
Number or Folder:
1
Page numbers:
62-88
Keyword:
keyword search; relational data; information system; knowledge management system
Short description of contents:
The challenge of easily interconnecting and exploiting the increasing amount of data from structured data sources is still a primary concern for researchers from the industry and the academy. Keyword search over structured data systems (KSS) has attracted much interest as it provides a simple interface to query structured data. At the best of our knowledge, KSS evolved neither into a standard model nor into a commercial product. The implementation of every new system published so far was isolated from the previous systems, even when it advanced the state of the art for a single aspect. Also, the source code of these systems is not shared and the experimental results are not easily replicable. The present study aims at filling this gap, by the design and the shared implementation of a unified framework for graph-based KSS.
Web page:
https://www.inderscienceonline.com/doi/abs/10.1504/IJIIDS.2023.128272
Product ID:
132814
Handle IRIS:
11562/1088406
Last Modified:
January 27, 2024
Bibliographic citation:
Cozza, Vittoria, Implementation of a framework for graph-based keyword search over relational data «INTERNATIONAL JOURNAL OF INTELLIGENT INFORMATION AND DATABASE SYSTEMS» , vol. 16 , n. 12023pp. 62-88

Consulta la scheda completa presente nel repository istituzionale della Ricerca di Ateneo IRIS

<<back

Activities

Research facilities

Share