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Linked Data: Evolving the Web into a Global Data Space

Linked Data: Evolving the Web into a Global Data Space
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. The World Wide Web has enabled the creation of a global information space comprising linked documents. As the Web becomes ever more enmeshed with our daily lives, there is a growing desire for direct access to raw data not currently available on the Web or bound up in hypertext documents. Linked Data provides a publishing paradigm in which not only documents, but also data, can be a first class citizen of the Web, thereby enabling the extension of the Web with a global data space based on open standards - the Web of Data. In this Synthesis lecture we provide readers with a detailed technical introduction to Linked Data.

http://linkeddatabook.com/editions/1.0/

Related:  teaching: Linked Data

searchFAST Welcome to the new searchFAST user interface. This new interface simplifies the process of heading selection, in an easy to use one-page design. FAST subject headings were developed by adapting the Library of Congress Subject Headings (LCSH) with a simplified syntax, retaining the very rich vocabulary of LCSH while making the schema easier to understand, control, apply, and use. The new interface design combines search box, brief results list, and full view of a selected record on a single page. Several indexes and the ability to restrict the result to a desired FAST facet increase searching accuracy. The default result ranking is by usage, giving the most likely candidate heading near the top of the result, although alphabetic and facet order options are easily available. How to publish Linked Data on the Web This document provides a tutorial on how to publish Linked Data on the Web. After a general overview of the concept of Linked Data, we describe several practical recipes for publishing information as Linked Data on the Web. This tutorial has been superseeded by the book Linked Data: Evolving the Web into a Global Data Space written by Tom Heath and Christian Bizer. This tutorial was published in 2007 and is still online for historical reasons.

Interlinking Linked Data is a method to publish data on the Web and to interlink data between different data sources. Linked Data can be accessed using Semantic Web browsers, just as traditional Web documents are accessed using HTML browsers. However, instead of following document links between HTML pages, Semantic Web browsers enable surfers to navigate between different data sources by following RDF links. RDF links can also be followed by robots or Semantic Web search engines in order to crawl the Semantic Web.

Linked Data - Design Issues Up to Design Issues The Semantic Web isn't just about putting data on the web. It is about making links, so that a person or machine can explore the web of data. With linked data, when you have some of it, you can find other, related, data. Like the web of hypertext, the web of data is constructed with documents on the web. Linked Data Platform 1.0 Introduction Many HTTP applications and sites have organizing concepts that partition the overall space of resources into smaller containers. Blog posts are grouped into blogs, wiki pages are grouped into wikis, and products are grouped into catalogs. Each resource created in the application or site is created within an instance of one of these container-like entities, and users can list the existing artifacts within one. Containers answer some basic questions, which are: To which URLs can I POST to create new resources?

PubChemRDF Release Notes V1.6 beta (See the V1.5.2 beta Release Notes)Total number of triples: (last update on: )for more details, please see Table 2 1. Introduction Semantic Web technologies are emerging as an increasingly important approach to distribute and integrate scientific data. Watson Semantic Web Search This is the Watson Web interface for searching ontologies and semantic documents using keywords. This interface is subject to frequent evolutions and improvements. If you want to share your opinion, suggest improvement or comment on the results, don't hesitate to contact us... At the moment, you can enter a set of keywords (e.g.

Datasets / NLP Each and every dataset from DBpedia is potentially useful for several Natural Language Processing (NLP) tasks. We describe here a few examples of how to use these datasets. Moreover, we describe a number of extended datasets that were generated during the creation of DBpedia Spotlight and other NLP-related projects. In the context of this page, the word “resource” — as in DBpedia Resource — refers to an entity or concept identified by a DBpedia URI. 1. DBpedia Core Datasets What Is Digital Humanities and What’s it Doing in the Library? tl;dr – Libraries and digital humanities have the same goals. Stop asking if the library has a role, or what it is, and start getting involved in digital projects that are already happening. Advocate for new expanded roles and responsibilities to be able to do this. Become producers/creators in collaboration with scholars rather than servants to them. Comprehending the Digital Humanities – from Elijah Meeks at Stanford. Where’s the library?

C Linked Data Platform Working Group Charter The mission of the Linked Data Platform (LDP) Working Group is to produce a W3C Recommendation for HTTP-based (RESTful) application integration patterns using read/write Linked Data. This work will benefit both small-scale in-browser applications (WebApps) and large-scale Enterprise Application Integration (EAI) efforts. It will complement SPARQL and will be compatible with standards for publishing Linked Data, bringing the data integration features of RDF to RESTful, data-oriented software development. Introduction

Using SPARQL to access Linked Open Data Lesson Goals This lesson explains why many cultural institutions are adopting graph databases, and how researchers can access these data though the query language called SPARQL. Table of contents Many cultural institutions now offer access to their collections information through web Application Programming Interfaces. While these APIs are a powerful way to access individual records in a machine-readable manner, they are not ideal for cultural heritage data because they are structured to work for a predetermined set of queries. For example, a museum may have information on donors, artists, artworks, exhibitions, and provenance, but its web API may offer only object-wise retrieval, making it difficult or impossible to search for associated data about donors, artists, provenance, etc.

RDF - Semantic Web Standards Overview RDF is a standard model for data interchange on the Web. RDF has features that facilitate data merging even if the underlying schemas differ, and it specifically supports the evolution of schemas over time without requiring all the data consumers to be changed. RDF extends the linking structure of the Web to use URIs to name the relationship between things as well as the two ends of the link (this is usually referred to as a “triple”). Using this simple model, it allows structured and semi-structured data to be mixed, exposed, and shared across different applications. This linking structure forms a directed, labeled graph, where the edges represent the named link between two resources, represented by the graph nodes.

Nature.com Ontologies Dataset IRI | Applications | Diagram | Example The Articles Dataset comprises the full set of articles on nature.com (1845-2015). The Articles Dataset has the following Namespace IRI. A Web of People and Machines: W3C Semantic Web Standards It’s 1989. We are at CERN, the European Organization for Nuclear Research. Physicists and engineers from all over the world have gathered to seek answers about particle physics, bringing a variety of computers, file formats, software and procedures to the site.

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