Generates RDF data from non-RDF sources. – Linked Data for Professional Education https://ld4pe.dublincore.org Learning resources tagged by competency Thu, 19 Nov 2020 14:45:03 +0000 en-US hourly 1 https://wordpress.org/?v=4.9.16 Desiderata for an authoritative Representation of MeSH in RDF https://ld4pe.dublincore.org/learning_resource/desiderata-for-an-authoritative-representation-of-mesh-in-rdf/ Tue, 08 Aug 2017 08:07:57 +0000 https://ld4pe.dublincore.org/learning_resource/desiderata-for-an-authoritative-representation-of-mesh-in-rdf/ Although the Semantic Web provides a framework for the integration of resources on the web, datasets are not always made available in RDF by their producers and the Semantic Web community has had to convert some of these datasets to RDF in order for these datasets to participate in the LOD cloud. As a result, the LOD cloud sometimes contains outdated, partial and even inaccurate RDF datasets. The authors of this article review the LOD landscape for one of these resources, MeSH, and analyze the characteristics of six existing representations in order to identify desirable features for an authoritative version, for which they have created a prototype. They then illustrate the suitability of this prototype on three common use cases. NLM released an authoritative representation of MeSH in RDF (beta version) in the Fall of 2014.

URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4419968/
Keywords: Medical Subject Headings (MeSH), Linked Open Data (LOD) Cloud, Linked Open Data (LOD), Semantic Web, eXtensible Markup Language (XML)
Author: Bodenreider, Olivier
Publisher: American Medical Informatics Association (AMIA)
Date created: 2014-11-14 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P20M

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Transforming the Medical Subject Headings into Linked Data: a new article in the Journal of Library Metadata https://ld4pe.dublincore.org/learning_resource/transforming-the-medical-subject-headings-into-linked-data-a-new-article-in-the-journal-of-library-metadata/ Tue, 08 Aug 2017 08:07:57 +0000 https://ld4pe.dublincore.org/learning_resource/transforming-the-medical-subject-headings-into-linked-data-a-new-article-in-the-journal-of-library-metadata/ This article reviews the pilot project to convert the Medical Subject Headings (MeSH) from XML to Linked Data/RDF. The article examines the collaborative process, the technical and organizational issues tackled, and the future of Linked Data at the National Library of Medicine.

URL: http://aims.fao.org/activity/blog/transforming-medical-subject-headings-linked-data-new-article-journal-library-metadata
Keywords: Medical Subject Headings (MeSH), Semantic Web, LAMs (Libraries, Archives, and Museums)
Publisher: AIMS (Agricultural Information Management Standards)
Date created: 2016-02-11 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P10M
Educational audience: teacher-educationSpecialist
Interactivity type: expositive

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Converting Relational Data Into RDF Format https://ld4pe.dublincore.org/learning_resource/converting-relational-data-into-rdf-format/ Tue, 08 Aug 2017 08:07:57 +0000 https://ld4pe.dublincore.org/learning_resource/converting-relational-data-into-rdf-format/ This tutorial shows two different methods of converting or materializing relational data into RDF graph data format: the D2RQ based method and the SQL based method. The D2RQ based method provides customizable mapping files that allow users to specify the generation of URIs, enabling the reuse of URIs across different columns, tables, schemas, or even databases. URI reuse here means using the same URI to represent the same resource. The SQL-based approach, as provided in this tutorial, does not handle escapes, character encoding, new lines, tabs, and other special characters.

URL: http://www.oracle.com/webfolder/technetwork/tutorials/obe/db/11g/r1/prod/datamgmt/relational_into_rdf/relational_data_into_rdf_format_otn.htm
Keywords: D2RQ Mapping Language, SQL (Structured Query Language), N-Triples, N3
Publisher: Oracle
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P1H
Educational use: instruction
Educational audience: professional
Interactivity type: active

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Methodological Guidelines for Publishing Government Linked Data https://ld4pe.dublincore.org/learning_resource/methodological-guidelines-for-publishing-government-linked-data/ Wed, 21 Oct 2015 20:15:07 +0000 https://ld4pe.dublincore.org/learning_resource/methodological-guidelines-for-publishing-government-linked-data/ Publishing Linked Data is a process that involves many steps, design decisions and technologies. Some initial guidelines have been provided by Linked Data publishers, but these are still far from covering all the steps that are necessary. This chapter, from the book "Linking Government Data" (Springer, 2011), proposes a set of methodological guidelines for the activities involved in the publication process. These guidelines are the result of the authors' experience in the production of Linked Data in several Governmental contexts and are validated by the GeoLinkedData and AEMETLinkedData use cases.

URL: https://www.lri.fr/~hamdi/datalift/tuto_inspire_2012/Suggestedreadings/egovld.pdf
Keywords: Linked Open Data, Government Open Data, HTTP URIs
Author: Gomez-Perez, Asuncion
Publisher: Springer
Date created: 2011-01-01 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P25M
Educational use: professionalDevelopment
Educational audience: professional
Interactivity type: expositive

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Linking Spatial Data: Semi-Automated Conversion of Geoinformation Models and GML data to RDF https://ld4pe.dublincore.org/learning_resource/linking-spatial-data-semi-automated-conversion-of-geoinformation-models-and-gml-data-to-rdf/ Sat, 10 Oct 2015 12:05:44 +0000 https://ld4pe.dublincore.org/learning_resource/linking-spatial-data-semi-automated-conversion-of-geoinformation-models-and-gml-data-to-rdf/ Linked Data provides an alternative route for the dissemination of spatial information compared to the traditional Service-Oriented Architecture (SOA)-based Spatial Data Infrastructure (SDI) approach. The traditional approach has provided a wealth of standardized and structured location data based on Geography Markup Language (GML), while Linked Data provides an open mechanism for sharing and combining this data with anything, once the data is available as Linked Data. The first part of the paper focuses on deriving Linked Data from GML data. In the second part, it examines how more meaningfully expressed RDF data can be created from GML by transforming it from Unified Modeling Language (UML) to OWL.

URL: http://www.gdmc.nl/publications/2014/Linking_spatial_data.pdf
Keywords: eXtensible Stylesheet Language Transformations (XSLT), Web Ontology Language (OWL), HTTP URIs, XML Schema
Author: van den Brink, Linda
Publisher: International Journal of Spatial Data Infrastructures Research
Date created: 2014-01-01 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P30M
Educational use: professionalDevelopment
Educational audience: teacher-educationSpecialist
Interactivity type: expositive

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Relational Database to RDF Translation in the Cultural Heritage Domain https://ld4pe.dublincore.org/learning_resource/relational-database-to-rdf-translation-in-the-cultural-heritage-domain/ Tue, 15 Sep 2015 02:33:10 +0000 https://ld4pe.dublincore.org/learning_resource/relational-database-to-rdf-translation-in-the-cultural-heritage-domain/ The author argues that simple algorithms for automatically mapping relational data to RDF are wasteful and inefficient. Instead, mapping can be significantly improved by using a schema design tailored to RDF, and the smaller graph that results will promote powerful query mechanisms like faceted search. The research reported builds a substantial RDF graph from a real data archive in the cultural heritage domain. Proposed is a generic RDB2RDF mapping for such
data, based on the simple “People, Places, Things and Events” approach
frequently used in heritage data management.

URL: http://homepages.inf.ed.ac.uk/kbyrne3/docs/rdb2rdfForCH.pdf
Keywords: Relational Model, RDB2RDF, HTTP URIs, Cultural Heritage, RDBMS
Author: Byrne, Kate
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P30M
Educational use: professionalDevelopment
Educational audience: professional
Interactivity type: expositive

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FOAF-a-Matic https://ld4pe.dublincore.org/learning_resource/foaf-a-matic/ Tue, 15 Sep 2015 02:33:10 +0000 https://ld4pe.dublincore.org/learning_resource/foaf-a-matic/ FOAF-a-matic is a simple JavaScript application that allows you to create a FOAF (Friend-of-A-Friend) description of yourself. FOAF is a way to describe yourself using XML and RDF. This allows software to process these descriptions, perhaps as part of an automated search engine, to discover information about your and the communities of which you're a member. FOAF has the potential to drive many new interesting developments in online communities.

URL: http://www.ldodds.com/foaf/foaf-a-matic.html
Keywords: FOAF (Friend-of-A-Friend), RDF, XML, JavaScript
Author: Dodds, Leigh
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P15M
Educational use: instruction
Educational audience: generalPublic
Interactivity type: mixed

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From Trees to Graphs: Creating Linked Data from XML https://ld4pe.dublincore.org/learning_resource/from-trees-to-graphs-creating-linked-data-from-xml/ https://ld4pe.dublincore.org/learning_resource/from-trees-to-graphs-creating-linked-data-from-xml/#respond Thu, 13 Aug 2015 13:45:22 +0000 https://ld4pe.dublincore.org/learning_resource/from-trees-to-graphs-creating-linked-data-from-xml/ This presentation features a use case from Oxford University Press, in which data was migrated from XML content to Linked Data. It covers the business drivers which were identified and some of the issues that arose while modelling RDF from an XML base. Also discussed are the advantages and limitations of Schema.org and RDFa markup relative to richer XML metadata. Finally, the speaker briefly describes an experimental system architecture combining stores for both XML documents and RDF triples.

URL: https://www.youtube.com/watch?v=TwEi1oBGy40
Keywords: eXtensible Markup Language (XML), Search Engine Optimization (SEO), Metadata, Reification
Author: McDonald, Shaun
Date created: 2013-11-01 07:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P35M
Educational use: professionalDevelopment
Educational audience: professional
Interactivity type: expositive

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Linked Archival Metadata: A Guidebook (Version 0.99) https://ld4pe.dublincore.org/learning_resource/linked-archival-metadata-a-guidebook-version-0-99/ https://ld4pe.dublincore.org/learning_resource/linked-archival-metadata-a-guidebook-version-0-99/#respond Thu, 13 Aug 2015 03:26:18 +0000 https://ld4pe.dublincore.org/learning_resource/linked-archival-metadata-a-guidebook-version-0-99/ Linked Archival Metadata: A Guidebook provides archivists with an overview of the Linked Data landscape. It begins by defining basic concepts, such as the RDF data model and its various serializations. It also covers Linked Data principles and emphasizes the tangible payoffs for Libraries, Archives, and Museums (LAMs). However, this resource is most useful for its information on the "Linked Data Life Cycle", as well as numerous links to tools and resources. The process of creating RDF data (including transforming from other data sources) and publishing it is described in detail. Topics related to designing, mapping, and publishing RDF vocabularies are given minimal coverage.

URL: http://infomotions.com/sandbox/liam/tmp/guidebook.pdf
Keywords: Semantic Web, HTTP URIs, D2RQ, R2RML
Author: Morgan, Eric Lease
Publisher: Tufts University
Date created: 2014-04-23 07:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P3H
Educational use: instruction
Educational audience: teacher-educationSpecialist

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Apache Jena Tutorial: Create an RDF File Using the FOAF Ontology https://ld4pe.dublincore.org/learning_resource/apache-jena-tutorial-create-an-rdf-file-using-the-foaf-ontology/ https://ld4pe.dublincore.org/learning_resource/apache-jena-tutorial-create-an-rdf-file-using-the-foaf-ontology/#respond Thu, 13 Aug 2015 03:26:18 +0000 https://ld4pe.dublincore.org/learning_resource/apache-jena-tutorial-create-rdf-file-using-foaf-ontology/ This video tutorial demonstrates how to create an RDF file using the FOAF ontology and the FOAF-a-matic service. The file is then loaded into a project folder in Eclipse so that Jena can be used to manipulate this data semantically.

URL: https://www.youtube.com/watch?v=N_GpbwMHeMQ
Keywords: Apache Jena, Eclipse, FOAF
Publisher: Betacoding
Date created: 2013-06-04 07:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P10M

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