Creating and Exploiting a Hybrid Knowledge Base for Linked Data

A ‘Semantic Web’ Using Linked Data for day-to-day data transfer , 2009

The term Linked Data refers to a set of best practices for publishing and connecting structured data on the Web. These best practices have been adopted by an increasing number of data providers over the last three years, leading to the creation of a global data space containing billions of assertions - the Web of Data. In this article we present the concept and technical principles of Linked Data, and situate these within the broader context of related technological developments. We describe progress to date in publishing Linked Data on the Web, review applications that have been developed to exploit the Web of Data, and map out a research agenda for the Linked Data community as it moves forward.

The term linked data is entering into common vocabulary and, as most interests us in this instance, into the specific terminology of library and information science. The concept is complex; we can summarize it as that set of best practices required for publishing and connecting structured data on the web for use by a machine. It is an expression used to describe a method of exposing, sharing and connecting data via Uniform Resource Identifiers (URIs) on the web. With linked data, in other words, we refer to data published on the web in a format readable, interpretable and, most of all, useable by machine, whose meaning is explicitly defined by a string of words and markers. In this way we constitute a linked data network (hence linked data) belonging to a domain (which constitutes the initial context), connected in turn to other external data sets (that is, those outside of the domain), in a context of increasingly extended relationships. Next is presented the Linked Open Data cloud (LOD), which collects the open data sets available on the web, and the paradigm of its exponential growth occurring in a very brief period of time which demonstrates the level of interest that linked data has garnered in organizations and institutions of different types.

2013

The term linked data is entering into common vocabulary and, as most interests us in this instance, into the specific terminology of library and information science. The concept is complex; we can summarize it as that set of best practices required for publishing and connecting structured data on the web for use by a machine. It is an expression used to describe a method of exposing, sharing and connecting data via Uniform Resource Identifiers (URIs) on the web. With linked data, in other words, we refer to data published on the web in a format readable, interpretable and, most of all, useable by machine, whose meaning is explicitly defined by a string of words and markers. In this way we constitute a linked data network (hence linked data) belonging to a domain (which constitutes the initial context), connected in turn to other external data sets (that is, those outside of the domain), in a context of increasingly extended relationships. Next is presented the Linked Open Data cloud (LOD), which collects the open data sets available on the web, and the paradigm of its exponential growth occurring in a very brief period of time which demonstrates the level of interest that linked data has garnered in organizations and institutions of different types.

2010

Abstract: Twenty years ago Tim Berners-Lee proposed a distributed hypertext system based on standard Internet protocols. The Web that resulted fundamentally changed the ways we share information and services, both on the public Internet and within organizations. That original proposal contained the seeds of another effort that has not yet fully blossomed: a Semantic Web designed to enable computer programs to share and understand structured and semi-structured information easily.

Sir Tim Burners-Lee created quite the stir with the introduction of Linked Data. Instead of having hyperlinks link to static documents online, Burners-Lee proposes that data be linked together semantically online in a concept he calls Linked Data. This paper will explore the many facets of Linked Data. This will be accomplished with an overview of the principles and standards of Linked Data to include concepts such as RDF, OWL, and SPARQL. To provide the audience with a better understanding of how Linked Data can function, it will illustrate current projects such as DBpedia, BabelNet, and MeLOD. Finally, there will a discussion on how libraries are impacted by Linked Data and some initiatives being explored such as BIBFRAME.

Synthesis Lectures on the Semantic Web: Theory and Technology, 2011

This book gives an overview of the principles of Linked Data as well as the Web of Data that has emerged through the application of these principles. The book discusses patterns for publishing Linked Data, describes deployed Linked Data applications and examines their architecture.

Springer eBooks, 2019

This chapter presents Linked Data, a new form of distributed data on the web which is especially suitable to be manipulated by machines and to share knowledge. By adopting the linked data publication paradigm, anybody can publish data on the web, relate it to data resources published by others and run artificial intelligence algorithms in a smooth manner. Open linked data resources may democratize the future access to knowledge by the mass of internet users, either directly or mediated through algorithms. Governments have enthusiastically adopted these ideas, which is in harmony with the broader open data movement.

Internet Computing, IEEE, 2009

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Semantic Services, Interoperability and Web Applications

The term “Linked Data” refers to a set of best practices for publishing and connecting structured data on the Web. These best practices have been adopted by an increasing number of data providers over the last three years, leading to the creation of a global data space containing billions of assertions— the Web of Data. In this article, the authors present the concept and technical principles of Linked Data, and situate these within the broader context of related technological developments. They describe progress to date in publishing Linked Data on the Web, review applications that have been developed to exploit the Web of Data, and map out a research agenda for the Linked Data community as it moves forward.

JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 2019

The web has been, in the last decades, the place whereinformation retrieval achieved its maximum importance,given its ubiquity and the sheer volume of information.However, its exponential growth made the retrieval taskincreasingly hard, relying in its effectiveness on idio-syncratic and somewhat biased ranking algorithms. Todeal with this problem, a“new”web, called the Seman-tic Web (SW), was proposed, bringing along conceptslike“Web of Data”and“Linked Data,”although the defi-nitions and connections among these concepts areoften unclear. Based on a qualitative approach builtover a literature review, a definition of SW is presented,discussing the related concepts sometimes used assynonyms. It concludes that the SW is a comprehensiveand ambitious construct that includes the great purposeof making the web a global database. It also follows thespecifications developed and/or associated with its oper-ationalization and the necessary procedures for the con-nection of data in an open format on the web. The goalsof this comprehensive SW are the union of two out-comes still tenuously connected: the virtually unlimitedpossibility of connections between data—the webdomain—with the potentiality of the automated inferenceof“intelligent”systems—the semantic component.