Semantic Integration & Single-Site Opening of Multiple Governmental Data Sources
Konstantinos Kotis, Iraklis Athanasakis, George Vouros

TL;DR
This paper presents S3-AI, a semantic web-based approach enabling unified querying of distributed government data sources across multiple sites while preserving data ownership and autonomy.
Contribution
It introduces S3-AI, a novel semantic integration framework that supports federated, ontology-mediated queries across distributed government data sources.
Findings
S3-AI effectively supports federated queries across multiple sites.
The approach preserves data ownership and autonomy.
Demonstrated successfully with a government IT helpdesk case.
Abstract
In many cases, government data is still "locked" in several "data silos", even within the boundaries of a single (inter-)national public organization with disparate and distributed organizational units and departments spread across multiple sites. Opening data and enabling its unified querying from a single site in an efficient and effective way is a semantic application integration and open government data challenge. This paper describes how NARA is using Semantic Web technology to implement an application integration approach within the boundaries of its organization via opening and querying multiple governmental data sources from a single site. The generic approach proposed, namely S3-AI, provides support to answering unified, ontology-mediated, federated queries to data produced and exploited by disparate applications, while these are being located in different organizational sites.…
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Taxonomy
TopicsData Quality and Management · Semantic Web and Ontologies · Big Data and Business Intelligence
