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Relational database to ontology mapping and ontology matching techniques are mostly addressed separately, even though it is known that the real power of semantic data lies in data interconnection. The latter is especially important when designing a new ontology, which often includes at least some of the concepts that already exist in the linked open data cloud. Thus, in this paper we describe a new...
This paper presents an analysis of the state of the art solutions for mapping a relational database and an ontology by adding reasoning capabilities and offering the possibility to query the inferred information. We analyzed four approaches: Jena with D2RQ, Jena with R2RML, KAON2 and OWL API. In order to highlight the differences between the four approaches, we used a nutrition diagnostics related...
Sharing and reusing the big data in relational databases in a semantic way have become a big challenge. In this paper, we propose a new approach to enable semantic web applications to access relational databases (RDBs) and their contents by semantic methods. Domain ontologies can be used to formulate RDB schema and data in order to simplify the mapping of the underlying data sources. Our method consists...
Constructing an ontology from RDBs and its query through ontologies is a fundamental problem for the development of the semantic web. This paper proposes an approach to extract ontology directly from RDB in the form of OWL/RDF triples, to ensure its availability at semantic web. We automatically construct an OWL ontology from RDB schema using direct mapping rules. The mapping rules provide the basic...
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 based on graph contraction that boosts the query processing on relationally-backed RDF store. The query optimization technique based on graph contraction...
RDB2RDF mapping has been a hot topic in the Semantic Web research community. In order to standardize the mapping mechanism and then facilitate sharing and reuse of the mapping definitions, the W3C RDB2RDF Working Group published a general purpose RDB2RDF mapping language standard, R2RML, in September 2012. Several mapping tools or ongoing projects have been gradually supporting the R2RML standard...
Ontology is the foundation of the Semantic Web, and the relational database is the most current data storage method on the World Wide Web, so the ontology storage research based on relational database is the one of the main problems. In order to achieve general storage of ontology data, make it easy to use the ontology data in the following application. This paper presents a model of storing Ontology...
Put forward the implementation method of the semantic data be stored into the relational database. Based upon the analysis of the logic model of the semantic graph, built a storage system which consists of schema table and instance table, to enhance the integrality and agility of the storage, Describe the semantics by directed-hyper graph to simplify the semantic graph and strengthening the semantic...
The Semantic Web aims to enrich the existing Web by building an infrastructure layer of a web of data. Three-quarters of the data on the Web come from relational databases. Thus, in the context of the Semantic Web, it has become one of the most important topics to generate OWL ontologies from the legacy databases. For this purpose, the existing approaches typically define how to map the databases...
Lately, we hear more and more about Semantic Web and the benefits that it brings to the current Web. But just a few companies are adopting solutions based on semantic web technologies, one reason being that their currently information technology systems are generally based on data stored in relational databases. Replicating a relational database, only with the public information, in a RDF repository,...
Accurate cardinality estimates are essential for a successful query optimization. This is not only true for relational DBMSs but also for RDF stores. An RDF database consists of a set of triples and, hence, can be seen as a relational database with a single table with three attributes. This makes RDF rather special in that queries typically contain many self joins. We show that relational DBMSs are...
EEG/ERP (event-related potentials) domain is shortly introduced in this paper and system for storing and managing EEG/ERP experiments is presented. The system has been developed as a standalone web based portal. Authors' plan to register this portal as a recognized data source requires providing domain ontology. Authors investigate transformation of data from the system (data in relational database)...
The growing demand for a Semantic Web is focusing attention on Semantic Web trials that use a huge amount of data from a relational database (RDB). Hence, the literature on the transformation of RDB data to resource description framework (RDF) statements has consequently become very important. The relational data model (RDM), the base of RDB, represents real world data using relationships [1]. In...
Effcient RDF data management is an essential factor in realizing the Semantic Web vision. However, most existing RDF storage schemes based on row-store relational databases are constrained in terms of efficiency and scalability. In this paper, we propose an RDF storage scheme that implements sextuple indexing for RDF triples using a column-oriented DBMS. To evaluate the performance of our approach,...
The urban transportation ontology is created and stored in a relational database by abstracting and analyzing the traffic information. The semantic reasoning mechanism based on Jena and the issues involved were analyzed comparatively. The potential relative semantic results are obtained by achieving the function of semantic query and path search in the platform of Jena, which applying the reasoning...
This paper points towards the integration rules of mapping from relational database such as SQL DDL, schema and data into the semantic web ontology such as OWL which build on top of RDF using vocabulary RDFS and XML schema data type. From the study, different cases are considered: such as tables, relationships, composite-column, single or multiple primary key, foreign key, constraints, check between,...
In order to enable the data stored in relational database can be accessed dynamically for the Semantic Web and realize the relational database's query with SPARQL query language, the idea of realizing the SPARQL-TO-SQL query translation based on restrict RDF view is proposed. First, a novel way used to build the restrict RDF view for relational database is introduced. Then, based on restrict RDF view...
The emergence of the Semantic Web has given rise to researches on semantic integration of heterogeneous relational databases using ontology. Semantic-based heterogeneous relational data integration is recently attracting many diverse attentions, since most of the information is still stored in relational databases. This paper focuses on the query processing problem in semantic-based heterogeneous...
A vast majority of the world's valuable data currently exists in relational databases and other legacy storage systems. In order for Semantic Web applications to access such legacy data without replication or synchronization of the same, the gap between the two needs to be bridged. Several efforts exist that publish relational data as Resource Description Framework (RDF) triples, however almost all...
Semantic Web has promoted researches on semantic integration of heterogeneous relational databases. Ontology-based heterogeneous relational data integration is recently attracting many diverse attentions, since most of the information is still stored in relational databases. This paper focuses on the query efficiency problem of ontology-based heterogeneous relational databases querying. To improve...
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