TogoTable: cross-database annotation system using the Resource Description Framework (RDF) data model

<span>This paper is a think piece about the possible future of bibliographic control; it provides a brief introduction to the Semantic Web and defines related terms, and it discusses granularity and structure issues and the lack of standards for the efficient display and indexing of bibliographic data. It is also a report on a work in progress—an experiment in building a Resource Description Framework (RDF) model of more FRBRized cataloging rules than those about to be introduced to the library community (Resource Description and Access) and in creating an RDF data model for the rules. I am now in the process of trying to model my cataloging rules in the form of an RDF model, which can also be inspected at </span><a href="http://myee.bol.ucla.edu/">http://myee.bol.ucla.edu/</a><span>. In the process of doing this, I have discovered a number of areas in which I am not sure that RDF is sophisticated enough yet to deal with our data. This article is an attempt to identify some of those areas and explore whether or not the problems I have encountered are soluble—in other words, whether or not our data might be able to live on the Semantic Web. In this paper, I am focusing on raising the questions about the suitability of RDF to our data that have come up in the course of my work.</span>

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Analysis of RDF Syntaxes for Semantic Web Development

Applied Computer Systems ◽

10.1515/acss-2015-0017 ◽

2015 ◽

Vol 18 (1) ◽

pp. 33-42 ◽

Cited By ~ 1

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.

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N3Logic: A logical framework for the World Wide Web

Theory and Practice of Logic Programming ◽

10.1017/s1471068407003213 ◽

2008 ◽

Vol 8 (3) ◽

pp. 249-269 ◽

Cited By ~ 89

Author(s):

TIM BERNERS-LEE ◽

DAN CONNOLLY ◽

LALANA KAGAL ◽

YOSI SCHARF ◽

JIM HENDLER

Keyword(s):

Semantic Web ◽

Data Model ◽

Structured Data ◽

Minimal Extension ◽

Web Environment ◽

Knowledge Models ◽

Rdf Data ◽

Description Framework ◽

Resource Description ◽

The Web

AbstractThe Semantic Web drives toward the use of the Web for interacting with logically interconnected data. Through knowledge models such as Resource Description Framework (RDF), the Semantic Web provides a unifying representation of richly structured data. Adding logic to the Web implies the use of rules to make inferences, choose courses of action, and answer questions. This logic must be powerful enough to describe complex properties of objects but not so powerful that agents can be tricked by being asked to consider a paradox. The Web has several characteristics that can lead to problems when existing logics are used, in particular, the inconsistencies that inevitably arise due to the openness of the Web, where anyone can assert anything. N3Logic is a logic that allows rules to be expressed in a Web environment. It extends RDF with syntax for nested graphs and quantified variables and with predicates for implication and accessing resources on the Web, and functions including cryptographic, string, math. The main goal of N3Logic is to be a minimal extension to the RDF data model such that the same language can be used for logic and data. In this paper, we describe N3Logic and illustrate through examples why it is an appropriate logic for the Web.

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Storing massive Resource Description Framework (RDF) data: a survey

The Knowledge Engineering Review ◽

10.1017/s0269888916000217 ◽

2016 ◽

Vol 31 (4) ◽

pp. 391-413 ◽

Cited By ~ 21

Author(s):

Zongmin Ma ◽

Miriam A. M. Capretz ◽

Li Yan

Keyword(s):

Data Storage ◽

Resource Description Framework ◽

Relational Databases ◽

Query Language ◽

Current State ◽

Rdf Data ◽

Description Framework ◽

Resource Description ◽

Flexible Model ◽

The Web

AbstractThe Resource Description Framework (RDF) is a flexible model for representing information about resources on the Web. As a W3C (World Wide Web Consortium) Recommendation, RDF has rapidly gained popularity. With the widespread acceptance of RDF on the Web and in the enterprise, a huge amount of RDF data is being proliferated and becoming available. Efficient and scalable management of RDF data is therefore of increasing importance. RDF data management has attracted attention in the database and Semantic Web communities. Much work has been devoted to proposing different solutions to store RDF data efficiently. This paper focusses on using relational databases and NoSQL (for ‘not only SQL (Structured Query Language)’) databases to store massive RDF data. A full up-to-date overview of the current state of the art in RDF data storage is provided in the paper.

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Relational Techniques for Storing and Querying RDF Data

Advanced Database Query Systems - Advances in Data Mining and Database Management ◽

10.4018/978-1-60960-475-2.ch011 ◽

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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An effective biomedical data migration tool from resource description framework to JSON

Database ◽

10.1093/database/baz088 ◽

2019 ◽

Vol 2019 ◽

Cited By ~ 2

Author(s):

Jian Liu ◽

Mo Yang ◽

Lei Zhang ◽

Weijun Zhou

Keyword(s):

Resource Description Framework ◽

Data Migration ◽

Biomedical Data ◽

Practical Applications ◽

Mapping Tool ◽

Single Nucleotide Polymorphism Database ◽

Rdf Data ◽

Description Framework ◽

User Friendly ◽

Resource Description

AbstractResource Description Framework (RDF) is widely used for representing biomedical data in practical applications. With the increases of RDF-based applications, there is an emerging requirement of novel architectures to provide effective supports for the future RDF data explosion. Inspired by the success of the new designs in National Center for Biotechnology Information dbSNP (The Single Nucleotide Polymorphism Database) for managing the increasing data volumes using JSON (JavaScript Object Notation), in this paper we present an effective mapping tool that allows data migrations from RDF to JSON for supporting future massive data explosions and releases. We firstly introduce a set of mapping rules, which transform an RDF format into the JSON format, and then present the corresponding transformation algorithm. On this basis, we develop an effective and user-friendly tool called RDF2JSON, which enables automating the process of RDF data extractions and the corresponding JSON data generations.

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