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Most organizations rely on relational database(s) for their day-to-day business functions. Data management policies fall under the umbrella of IT Operations, dictated by a combination of internal organizational policies and government regulations. Many ...

We propose a novel graph database system that overcomes existing limitations by integrating relational databases, unifying RDF and property graph data models, and incorporating large language models and natural language processing. Graphologue, ...

In the area of Internet of Things (IoT) data storage, the integration of Relational Database Management Systems (RDBMS) and Time Series Database (TSD) approaches represents a promising reliable, and scalable solution. This paper aims to design and ...

For decades, ontologies have defined valuable terminology for describing and representing a knowledge domain, capturing relationships between concepts, and improving knowledge management.

Ontologies enable the exchange and sharing of information, ...

In many cases information is found to be naturally fuzzy or imprecise, that's why flexible query systems have become indispensable to represent and manage this information and especially facilitate interrogation to a non-expert user, the problem is that ...

The growing demand and the diverse traffic pattern of smart devices place an increasing strain on the wireless networks. Routing data among wireless routers becomes a challenging issue as traditional routing algorithms, which cannot fulfill the ...

As a conceptual model and modeling tool, ontology can describe knowledge systems at the semantic level, it can also effectively solve the problem of information integration and sharing. In the research of information integration based on ontology, how ...

The authors developed a Sistematização de Assistência de Enfermagem (SAE) system to the Clínica Escola da Universidade Potiguar (UnP) -- Campus Mossoró (RN - Brazil), that aids in tracking gynecologic cancer. This methodology had been implemented and ...

With the development of sensing devices, the size of data managed by human being has been rapidly increasing. To manage such huge data, relational database management system (RDBMS) plays a key role. RDBMS models the real world data as n-ary relational ...

Codd’s relational model describes just one possible world. To better cope with incomplete information, extended database models allow several possible worlds. Vague tables are one such convenient extended model where attributes accept sets of possible ...

In this paper, we present a federated path querying language (FPQ) as itself an extension of the nested regular path querying language with adding an axis operator to support the federation of RDF dataset and relational database. We have proven that FPQ ...

Data Provenance is the history associated with that data. It constitutes the origin, creation, processing, and archiving of data. In today's Internet era, it has gained significant importance for database analytics. Most of the provenance models store ...

Ontologies have recently became a popular mechanism to expose relational database (RDBs) due to their ability to describe the domain of data in terms of classes and properties that are clear to domain experts. Ontological terms are related to the ...

Object-relational technology provides a significant increase in scalability and flexibility over the traditional relational databases. The additional object-relational features are particularly satisfying for advanced database applications that ...

Such as relational databases, most graphs databases are OLTP databases (online transaction processing) of

generic use and can be used to produce a wide range of solutions. That said, they shine particularly when the

solution depends, first, on our ...

We present an extension of the ontology-based data access platform Ontop that supports answering SPARQL queries under the OWL 2 QL direct semantics entailment regime for data instances stored in relational databases. On the theoretical side, we ...

Given a source relational database, a target OWL ontology and a mapping from the source database to the target ontology, Ontology-Based Data Access (OBDA) concerns answering queries over the target ontology using these three components. This paper ...

The Cloud computing paradigm emerged by establishing new resources provisioning and consumption models. Together with the improvement of resource management techniques, these models have contributed to an increase in the number of application developers ...

Efficient store and query of RDF graph database is of increasing importance due to the popularity and widespread acceptance of RDF on various applications including semantic/situation aware computing. In this paper, we have applied an query optimization ...

On the purpose of generating ontologies from data sources on the practical application consideration, some rules on mapping relational database to ontologies are proposed. For the massive data stored in information systems, Master data management is ...