Tech Services on the Web: RESOURCE DESCRIPTION AND ACCESS (RDA) BLOG http://resourcedescriptionandaccess.blogspot.com/

2014 ◽  
Vol 31 (3) ◽  
pp. 299-300
Author(s):  
Elise Y. Wong
Keyword(s):  
Web Resource ◽  
Resource Description ◽  
The Web

Towards Massive RDF Storage in NoSQL Databases

2019 ◽  
pp. 263-284 ◽  
Author(s):  
Zongmin Ma ◽  
Li Yan
Keyword(s):  
Data Storage ◽  
Large Scale ◽  
Future Research ◽  
Nosql Databases ◽  
Current State ◽  
Data Store ◽  
Rdf Data ◽  
Description Framework ◽  
Resource Description ◽  
The Web

The resource description framework (RDF) is a model for representing information resources on the web. With the widespread acceptance of RDF as the de-facto standard recommended by W3C (World Wide Web Consortium) for the representation and exchange of information on the web, a huge amount of RDF data is being proliferated and becoming available. So, RDF data management is of increasing importance and has attracted attention in the database community as well as the Semantic Web community. Currently, much work has been devoted to propose different solutions to store large-scale RDF data efficiently. In order to manage massive RDF data, NoSQL (not only SQL) databases have been used for scalable RDF data store. This chapter focuses on using various NoSQL databases to store massive RDF data. An up-to-date overview of the current state of the art in RDF data storage in NoSQL databases is provided. The chapter aims at suggestions for future research.

A Review of RDF Storage in NoSQL Databases

2016 ◽  
pp. 210-229 ◽  
Author(s):  
Zongmin Ma ◽  
Li Yan
Keyword(s):  
Data Storage ◽  
Large Scale ◽  
Future Research ◽  
Nosql Databases ◽  
Current State ◽  
Data Store ◽  
Rdf Data ◽  
Description Framework ◽  
Resource Description ◽  
The Web

The Resource Description Framework (RDF) is a model for representing information resources on the Web. With the widespread acceptance of RDF as the de-facto standard recommended by W3C (World Wide Web Consortium) for the representation and exchange of information on the Web, a huge amount of RDF data is being proliferated and becoming available. So RDF data management is of increasing importance, and has attracted attentions in the database community as well as the Semantic Web community. Currently much work has been devoted to propose different solutions to store large-scale RDF data efficiently. In order to manage massive RDF data, NoSQL (“not only SQL”) databases have been used for scalable RDF data store. This chapter focuses on using various NoSQL databases to store massive RDF data. An up-to-date overview of the current state of the art in RDF data storage in NoSQL databases is provided. The chapter aims at suggestions for future research.

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 RDF 1.1: Knowledge Representation and Data Integration Language for the Web

Symmetry ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 84 ◽  
Author(s):  
Dominik Tomaszuk ◽  
David Hyland-Wood
Keyword(s):  
Knowledge Representation ◽  
Resource Description Framework ◽  
Relational Databases ◽  
Formal Definition ◽  
Natural Languages ◽  
Description Framework ◽  
Generalized Knowledge ◽  
Definition Of ◽  
Resource Description ◽  
The Web

Resource Description Framework (RDF) can seen as a solution in today’s landscape of knowledge representation research. An RDF language has symmetrical features because subjects and objects in triples can be interchangeably used. Moreover, the regularity and symmetry of the RDF language allow knowledge representation that is easily processed by machines, and because its structure is similar to natural languages, it is reasonably readable for people. RDF provides some useful features for generalized knowledge representation. Its distributed nature, due to its identifier grounding in IRIs, naturally scales to the size of the Web. However, its use is often hidden from view and is, therefore, one of the less well-known of the knowledge representation frameworks. Therefore, we summarise RDF v1.0 and v1.1 to broaden its audience within the knowledge representation community. This article reviews current approaches, tools, and applications for mapping from relational databases to RDF and from XML to RDF. We discuss RDF serializations, including formats with support for multiple graphs and we analyze RDF compression proposals. Finally, we present a summarized formal definition of RDF 1.1 that provides additional insights into the modeling of reification, blank nodes, and entailments.

scholarly journals RIKEN MetaDatabase

2018 ◽  
Vol 14 (1) ◽  
pp. 140-164 ◽  
Author(s):  
Norio Kobayashi ◽  
Satoshi Kume ◽  
Kai Lenz ◽  
Hiroshi Masuya
Keyword(s):  
Graphical User Interface ◽  
Life Science ◽  
Data Distribution ◽  
Image Databases ◽  
Technical Knowledge ◽  
Science Data ◽  
Description Framework ◽  
Database Platform ◽  
Resource Description ◽  
The Web

Recently, the number and heterogeneity of life science datasets published on the Web have increased significantly. However, biomedical scientists face numerous serious difficulties finding, using and publishing useful databases. To address these issues, the authors developed a Resource Description Framework-based database platform, called the RIKEN MetaDatabase (http://metadb.riken.jp), that allows biologists to develop, publish and integrate multiple databases easily. The platform manages the metadata of both research and individual data described using standardised vocabularies and ontologies, and has a simple browser-based graphical user interface to view data including tabular and graphical forms. The platform was released in April 2015, and 113 databases, including mammalian, plant, bioresource and image databases, with 26 ontologies have been published using this platform as of January 2017. This paper describes the technical knowledge obtained through the development and operation of the RIKEN MetaDatabase to accelerate life science data distribution.

scholarly journals Identity of Resources and Entities on the Web

2010 ◽  
pp. 123-147
Author(s):  
Valentina Presutti ◽  
Aldo Gangemi
Keyword(s):  
Current Situation ◽  
Global Community ◽  
Web Resource ◽  
Share Information ◽  
The Web ◽  
Information Objects

One of the main strengths of the Web is that it allows any party of its global community to share information with any other party. This goal has been achieved by making use of a unique and uniform mechanism of identification, the uniform resource identifiers (URI). Although URIs succeed when used for retrieving resources on the Web, their suitability for identifying any kind of thing, for example, resources that are not on the Web, is not guaranteed. In this article we investigate the meaning of the identity of a Web resource, and how the current situation, as well as existing and possible future improvements, can be modeled and implemented on the Web. In particular, we propose an ontology, IRE, that provides a formal way to model both the problem and the solution spaces. IRE describes the concept of resource from the viewpoint of the Web, by reusing an ontology of information objects, built on top of DOLCE+ and its extensions. In particular, we formalize the concept of Web resource, as distinguished from the concept of a generic entity, and how those and other concepts are related, for example, by different proxy for relations. Based on the analysis formalized in IRE, we propose a formal pattern for modeling and comparing different solutions to the problems of the identity of resources.

scholarly journals МЕТОДИКА АВТОМАТИЗОВАНОГО ОЦІНЮВАННЯ РЕЗУЛЬТАТІВ ВИКОНАННЯ ЛАБОРАТОРНИХ РОБІТ З ПРИКЛАДНОЇ МАТЕМАТИКИ ЗДОБУВАЧАМИ ВИЩОЇ ОСВІТИ

2018 ◽  
Vol 66 (4) ◽  
pp. 162
Author(s):  
Victor V. Oliynyk ◽  
Oleksandr М. Samoilenko ◽  
Nataliia S. Ruchynska
Keyword(s):  
Higher Education ◽  
Academic Discipline ◽  
Educational Process ◽  
Laboratory Work ◽  
Automated Assessment ◽  
Knowledge And Skills ◽  
Web Resources ◽  
Web Resource ◽  
Automated Knowledge ◽  
The Web

In the context of reforming education in Ukraine, electronic systems for managing the learning process and web resources of educational disciplines as components of these systems are widely introduced into the educational process. The need to improve the quality of education and the effectiveness of monitoring the knowledge of applicants for higher education have led to an increase of interest in automated knowledge assessment. Laboratory classes play a leading role in developing skills and application of the acquired knowledge. The effectiveness of using computer technology in laboratory classes depends on the qualitative methodology for conducting them through the academic discipline web resource tools and the automated evaluation of learners’ knowledge and acquired skills. The paper justifies the relevance of automated assessment of students’ knowledge and skills for higher education, describes the methodology for conducting laboratory classes using the web resource tools of the academic discipline and the technology of automated knowledge and skills assessment based on the results of students’ laboratory assignments. The key idea of the proposed methodology is phased approach to the laboratory work implementation inside and outside the classroom through the academic discipline web resource tools, which includes the preparation manual and automatic access to the laboratory work, implementation and defence of laboratory work with the automated assessment of the corresponding reports. The technology of automated laboratory work assessment is understood as a technology of quality assessment in higher education. To determine whether the answer is correct the relevant algorithms have been incorporated into the web resources of the training course.

scholarly journals Models and scenarios of implementation of threats for internet resources

2020 ◽  
Vol 8 (6) ◽  
pp. 9-33
Author(s):  
S. A. Lesko
Keyword(s):  
Web Application ◽  
Query Language ◽  
Sql Injection ◽  
Web Resource ◽  
Injection Attacks ◽  
Sql Injections ◽  
Sql Injection Attacks ◽  
Client Side ◽  
Cross Site ◽  
The Web

To facilitate the detection of various vulnerabilities, there are many different tools (scanners) that can help analyze the security of web applications and facilitate the development of their protection. But these tools for the most part can only identify problems, and they are not capable of fixing them. Therefore, the knowledge of the security developer is a key factor in building a secure Web resource. To resolve application security problems, developers must know all the ways and vectors of various attacks in order to be able to develop various protection mechanisms. This review discusses two of the most dangerous vulnerabilities in the field of Web technologies: SQL injections and XSS attacks (cross-site scripting – XSS), as well as specific cases and examples of their application, as well as various approaches to identifying vulnerabilities in applications and threat prevention. Cross-site scripting as well as SQL-injection attacks are related to validating input data. The mechanisms of these attacks are very similar, but in the XSS attacks the user is the victim, and in the SQL injection attacks, the database server of the Web application. In XSS attacks, malicious content is delivered to users by means of a client-side programming language such as JavaScript, while using SQL injection, the SQL database query language is used. At the same time, XSS attacks, unlike SQL injections, harm only the client side leaving the application server operational. Developers should develop security for both server components and the client part of the web application.

scholarly journals USING OF WEB-RESOURCE IN IN-SERVICE TEACHER TRAINING

1970 ◽  
Vol 1 (1) ◽  
Author(s):  
Olha A. Bondar ◽  
Oksana Ye. Kravchina ◽  
Larysa M. Olifira
Keyword(s):  
Teacher Training ◽  
Web Resource ◽  
The Web

In the article the authers consider some aspects of universal informative environment formation in in-service teacher training, using the web-resource as informative and communicative centre.

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