scholarly journals A Semantic Web query Optimization Using Resource Description Framework

2015 ◽  
Vol 70 ◽  
pp. 723-732 ◽  
Author(s):  
Varghese S. Chooralil ◽  
E. Gopinathan
Keyword(s):  
Semantic Web ◽  
Query Optimization ◽  
Resource Description Framework ◽  
Description Framework ◽  
Resource Description

Linked Open Statistical Metadata

2017 ◽  
pp. 297-320
Author(s):  
Franck Cotton ◽  
Daniel Gillman
Keyword(s):  
Semantic Web ◽  
Resource Description Framework ◽  
Statistical Data ◽  
Open Data ◽  
Statistical Analyses ◽  
Statistical Literacy ◽  
Statistical Process ◽  
Description Framework ◽  
Resource Description ◽  
The Web

Linked Open Statistical Metadata (LOSM) is Linked Open Data (LOD) applied to statistical metadata. LOD is a model for identifying, structuring, interlinking, and querying data published directly on the web. It builds on the standards of the semantic web defined by the W3C. LOD uses the Resource Description Framework (RDF), a simple data model expressing content as predicates linking resources between them or with literal properties. The simplicity of the model makes it able to represent any data, including metadata. We define statistical data as data produced through some statistical process or intended for statistical analyses, and statistical metadata as metadata describing statistical data. LOSM promotes discovery and the meaning and structure of statistical data in an automated way. Consequently, it helps with understanding and interpreting data and preventing inadequate or flawed visualizations for statistical data. This enhances statistical literacy and efforts at visualizing statistics.

Technique for Transformation of Data From RDB to XML Then to RDF

2017 ◽  
pp. 70-91 ◽  
Author(s):  
Kaleem Razzaq Malik ◽  
Tauqir Ahmad
Keyword(s):  
Semantic Web ◽  
Relational Database ◽  
Resource Description Framework ◽  
Data Science ◽  
True Nature ◽  
Extensible Markup ◽  
Description Framework ◽  
Mapping Techniques ◽  
Resource Description ◽  
The Web

This chapter will clearly show the need for better mapping techniques for Relational Database (RDB) all the way to Resource Description Framework (RDF). This includes coverage of each data model limitations and benefits for getting better results. Here, each form of data being transform has its own importance in the field of data science. As RDB is well known back end storage for information used to many kinds of applications; especially the web, desktop, remote, embedded, and network-based applications. Whereas, EXtensible Markup Language (XML) in the well-known standard for data for transferring among all computer related resources regardless of their type, shape, place, capability and capacity due to its form is in application understandable form. Finally, semantically enriched and simple of available in Semantic Web is RDF. This comes handy when with the use of linked data to get intelligent inference better and efficient. Multiple Algorithms are built to support this system experiments and proving its true nature of the study.

scholarly journals Analysis of RDF Syntaxes for Semantic Web Development

2015 ◽  
Vol 18 (1) ◽  
pp. 33-42 ◽  
Author(s):  
Yevgeny Gryaznov ◽  
Pavel Rusakov
Keyword(s):  
Semantic Web ◽  
Directed Graph ◽  
Resource Description Framework ◽  
Formal Model ◽  
Information Representation ◽  
Web Development ◽  
Rdf Data ◽  
Description Framework ◽  
Rdf Graphs ◽  
Resource Description

Abstract In this paper authors perform a research on possibilities of RDF (Resource Description Framework) syntaxes usage for information representation in Semantic Web. It is described why pure XML cannot be effectively used for this purpose, and how RDF framework solves this problem. Information is being represented in a form of a directed graph. RDF is only an abstract formal model for information representation and side tools are required in order to write down that information. Such tools are RDF syntaxes – concrete text or binary formats, which prescribe rules for RDF data serialization. Text-based RDF syntaxes can be developed on the existing format basis (XML, JSON) or can be an RDF-specific – designed from scratch to serve the only purpose – to serialize RDF graphs. Authors briefly describe some of the RDF syntaxes (both XML and non-XML) and compare them in order to identify strengths and weaknesses of each version. Serialization and deserialization speed tests using Jena library are made. The results from both analytical and experimental parts of this research are used to develop the recommendations for RDF syntaxes usage and to design a RDF/XML syntax subset, which is intended to simplify the development and raise compatibility of information serialized with this RDF syntax.

Survey of directly mapping SQL databases to the Semantic Web

2011 ◽  
Vol 26 (4) ◽  
pp. 445-486 ◽  
Author(s):  
Juan F. Sequeda ◽  
Syed Hamid Tirmizi ◽  
Oscar Corcho ◽  
Daniel P. Miranker
Keyword(s):  
Semantic Web ◽  
Resource Description Framework ◽  
Information Sources ◽  
The Internet ◽  
Web Ontology Language ◽  
Ontology Language ◽  
Description Framework ◽  
Resource Description ◽  
Semantic Properties ◽  
Rdf Schema

AbstractThe Semantic Web anticipates integrated access to a large number of information sources on the Internet represented as Resource Description Framework (RDF). Given the large number of websites that are backed by SQL databases, methods that automate the translation of those databases to RDF are crucial. One approach, taken by a number of researchers, is to directly map the SQL schema to an equivalent Web Ontology Language (OWL) or RDF Schema representation, which in turn, implies an RDF representation for the relational data. This paper reviews this research, and derives a consolidated, overarching set of translation rules expressible as a stratified Datalog program. We present all the possible key combinations in an SQL schema and consider their implied semantic properties. We review the approaches and characterize them with respect to the scope of their coverage of SQL constructs.

scholarly journals Evolusi Penggunaan Teknologi Web 3.0 : Semantic Web

2020 ◽  
Vol 2 (02) ◽  
pp. 54-60
Author(s):  
Himawan ◽  
Trinugi Wira Harjanti ◽  
Ruli Supriati ◽  
Hari Setiyani
Keyword(s):  
Semantic Web ◽  
Resource Description Framework ◽  
Web 3.0 ◽  
Description Framework ◽  
Resource Description

Generasi baru dari konsep teknologi yang digunakan pada halaman website mengalami perubahan yang juga selaras dengan kebutuhan bisnis yang ada dalam dunia digital. Halaman website mengalami transformasi dari pada mulanya adalah hanya berupa halaman website statis, kemudian pada versi atau generasi berikutnya menjadi halaman website 2.0 sampai dengan generasi ketiga atau halaman website 3.0 (web 3.0) atau yang juga dikenal dengan istilah website semantik (Semantic Web). Generasi ketiga dari teknologi halaman website inilah yang akan menjadi topik utama dari penulisan paper ini, dimana pembahasan yang akan dituliskan dan dijelaskan pada paper ini adalah mengenai karakteristik dari web 3.0, teknologi yang ada pada web 3.0 seperti RDF (Resource Description Framework), SPARQL dan Web Ontology. Kemudian dalam penulisan jurnal ini juga akan diberikan contoh atau implementasi dari penggunaan teknologi web 3.0 dan kemudian penjelasan teknis mengenai cara kerja web 3.0. Hasil dari penulisan paper ini adalah untuk mengetahui perbedaan apakah yang ditawarkan oleh halaman website yang mengadopsi atau menggunakan teknologi web 3.0 dan juga untuk mengetahui keunggulan yang dimiliki oleh teknologi web 3.0.

scholarly journals Semantic Web in the expansion of E Commerce

2019 ◽  
Vol 8 (3) ◽  
pp. 3820-3827
Keyword(s):  
Semantic Web ◽  
Resource Description Framework ◽  
Search Engines ◽  
Web Ontology Language ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Semantic Enrichment ◽  
Ontology Language ◽  
Description Framework ◽  
Resource Description

This study focuses on the enhancing the potential of the e-commerce websites with various Semantic web technologies. The involvement of semantic enrichment gives more meaning to the data and makes content more easily discoverable by both search engines and users. Daily thousands of people try searching for a product they are willing to buy and due to the system inefficiency, customers waste a lot of their precious time and resources and also there are a lot of problems with the current e-commerce systems. So, semantic web has certain technologies/languages specifically established for data, i.e. RDF (Resource description framework), OWL (Web ontology language) and XML, etc. which can help overcome the problems and accelerate the business to a higher level where e-commerce websites will be playing an important role.

Technique for Transformation of Data From RDB to XML Then to RDF

2018 ◽  
pp. 1078-1096
Author(s):  
Kaleem Razzaq Malik ◽  
Tauqir Ahmad
Keyword(s):  
Semantic Web ◽  
Relational Database ◽  
Resource Description Framework ◽  
Data Science ◽  
True Nature ◽  
Extensible Markup ◽  
Description Framework ◽  
Mapping Techniques ◽  
Resource Description ◽  
The Web

This chapter will clearly show the need for better mapping techniques for Relational Database (RDB) all the way to Resource Description Framework (RDF). This includes coverage of each data model limitations and benefits for getting better results. Here, each form of data being transform has its own importance in the field of data science. As RDB is well known back end storage for information used to many kinds of applications; especially the web, desktop, remote, embedded, and network-based applications. Whereas, EXtensible Markup Language (XML) in the well-known standard for data for transferring among all computer related resources regardless of their type, shape, place, capability and capacity due to its form is in application understandable form. Finally, semantically enriched and simple of available in Semantic Web is RDF. This comes handy when with the use of linked data to get intelligent inference better and efficient. Multiple Algorithms are built to support this system experiments and proving its true nature of the study.

Relational Techniques for Storing and Querying RDF Data

2011 ◽  
pp. 269-285
Author(s):  
Sherif Sakr ◽  
Ghazi Al-Naymat
Keyword(s):  
Semantic Web ◽  
Resource Description Framework ◽  
Query Evaluation ◽  
Evaluation Strategies ◽  
Fundamental Challenge ◽  
Rdf Data ◽  
Description Framework ◽  
Resource Description ◽  
Flexible Model ◽  
The Web

The Resource Description Framework (RDF) is a flexible model for representing information about resources in the Web. With the increasing amount of RDF data which is becoming available, efficient and scalable management of RDF data has become a fundamental challenge to achieve the Semantic Web vision. The RDF model has attracted attentions in the database community and many researchers have proposed different solutions to store and query RDF data efficiently. This chapter focuses on using relational query processors to store and query RDF data. It gives an overview of the different approaches and classifies them according to their storage and query evaluation strategies.

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