Recognizes that owl:sameAs, while popular as a mapping property, has strong formal semantics that can entail unintended inferences. – Linked Data for Professional Education

<sameAs>: interlinking the Web of Data

Fri, 21 Jul 2017 07:20:23 +0000

The Web of Data has many equivalent URIs. This service helps you to find co-references between different data sets. The main store includes referents from DBpedia, VIAF, the British Library, and other authoritative sources. There are also links to many smaller sameAs stores that are being populated and used by projects and people. The latter are entirely independent from the main sameAs store, although some of the data may also be reflected in the main sameAs store..

URL: http://sameas.org/
Keywords: Web Ontology Language (OWL), HTTP URIs
Author: Glasser, Hugh
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P15M
Educational use: instruction
Educational audience: student
Interactivity type: active

OWL "Same As"

Sun, 02 Apr 2017 06:55:49 +0000

This PowerPoint presentation explains the role which concepts from thesauri and taxonomies play in Linked Data. It briefly discusses ontologies in general before moving on to OWL (Web Ontology Language). Discusses the advantages and drawbacks of mixing vocabularies (e.g., OWL, RDFS, SKOS) and trade-offs between simplicity and expressivity. Focuses on the importance of not trying to force relationship types when they are not appropriate (e.g., "broader than" or "narrower than" when no hierarchy exists; "same as" when two objects are not exact matches).

URL: https://github.com/elsevierlabs/LD4PE/files/877579/OWL_SameAs.pptx
Keywords: Web Ontology Language (OWL), Taxonomy, Thesaurus, Equivalence properties
Author: Malaise, Veronique
Publisher: Elsevier
Date created: 2017-03-28 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P25M
Educational use: instruction
Educational audience: professional
Interactivity type: expositive

A Complete Example of How to Link Data, Part 3

Wed, 16 Nov 2016 05:44:22 +0000

This video picks up where the previous two left off, covering the steps of setting up a Fuseki server to store data, interlinking that data with Silk, and then using Pubby to publish the data on the Web. Demonstrates how to connect entities by their URIs (rather than their labels) using sameAs. The tutorial ends by showing how SPARQL can be used to successfully query and filter the data which has just been published.

URL: https://www.youtube.com/watch?v=ucn2GMrAupQ
Keywords: Fuseki, Silk, Pubby, SPARQL endpoint
Author: Da, Ani
Publisher: LATC
Date created: 2012-06-30 03:45:55.540
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P15M

Linked Data Patterns

Sat, 16 Jan 2016 13:43:28 +0000

This resource is a pattern catalogue for modelling, publishing, and consuming Linked Data which adopts a tried and tested means of communicating knowledge and experience in software development: the design pattern. The intent is to create a ready reference that will be useful for both the beginner and the experienced practitioner alike. It is also intended to grow and mature in line with the practitioner community. NOTE: This is a book-length resource and covers a wide range of different areas from the design of Web-scale identifiers to application development patterns.

URL: http://patterns.dataincubator.org/book/index.html
Keywords: Reification, Graph annotation, Autodiscovery, Named query, Binding
Author: Dodds, Leigh
Date created: 2012-05-31 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P3H

Publishing Relational Databases as Linked Data

Abi Evans — Wed, 21 Oct 2015 20:15:07 +0000

These slides appear to have been used for a course in Database Management Systems at the University of Toronto, but contain material which the creator attributes to other authors. Part 1 outlines a six-step process for "Publishing Linked Data on the Web". Part 2, "How to Publish Relational Databases as Linked Data", covers the following subjects: Mapping relational databases to RDF; following Linked Data Principles and guidelines; mapping and publication tools; the D2R Server.

URL: http://www.cs.toronto.edu/~oktie/slides/publishing-relational-databases-as-linked-data.pdf
Keywords: RBD2RDF, HTTP URIs, Query rewriting, Link discovery
Author: Heath, Tom
Publisher: Herman, Ivan
Date created: 2011-03-01 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P30M
Educational use: instruction
Educational audience: professional
Interactivity type: expositive

Methodological Guidelines for Publishing Government Linked Data

Abi Evans — Wed, 21 Oct 2015 20:15:07 +0000

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

RDF, SPARQL and Semantic Repositories

Abi Evans — Fri, 09 Oct 2015 12:05:16 +0000

This massive slide presentation covers a LOT of ground, including. It begins with the benefits of using RDF, RDFS/OWL entailment rules and how they can be used for inferencing, and a thorough discussion of the OWL language and its flavors. The next section covers the SPARQL query language , discussing its basic features and how it compares to SQL. Moving on, the next few sections cover semantic repositories as well as bench-marking and scalability. Then, the use of MapReduce for massively distributed RDF materialization is discussed, followed by RDBMS-to-RDF mapping approaches and tools. Finally, various RDF tools (including ontology editors, RDF-izers, and RDF APIs) are presented.

URL: http://www.slideshare.net/marin_dimitrov/rdf-sparql-and-semantic-repositories
Keywords: SPARQL, Web Ontology Language (OWL), RDF Schema, Semantic repositories, MapReduce, RDB2RDF
Author: Dimitrov, Marin
Publisher: Ontotext
Date created: 2010-09-15 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P90M
Educational use: instruction
Educational audience: student

Discovering Missing Semantic Relations Between Entities in Wikipedia

Abi Evans — Tue, 15 Sep 2015 02:33:09 +0000

Wikipedia’s infoboxes contain rich structured information of various entities, which have been exploited by the DBpedia project to generate large-scale Linked Data datasets. Among all the infobox attributes, those attributes which have hyperlinked values identifying semantic relations between entities are the most important for creating links between DBpedia’s instances. However, quite a few of the hyperlinks in infoboxes have not been annotated by editors, which causes lots of missing relations between entities in Wikipedia. The speaker proposes an approach for automatically discovering the missing entity links in Wikipedia’s infoboxes, so that the missing semantic relations between entities can be established.

URL: http://videolectures.net/iswc2013_wang_semantic_relations/
Keywords: Link prediction, Machine Learning, DBpedia, Semantic relationships
Author: Wang, Zhichun
Date created: 2013-11-28 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P20M
Educational use: instruction
Educational audience: professional
Interactivity type: expositive

Providing Linked Data

Abi Evans — Tue, 15 Sep 2015 02:33:09 +0000

This video presentation covers the whole spectrum of Linked Data production and exposure. It begins with a grounding in Linked Data principles and best practices, with special emphasis on the VoID vocabulary. It then covers R2RML (for operating on relational databases), Open Refine (for operating on spreadsheets), and GATECloud (for operating on natural language). Finally, the presentation describes means to increase inter-linkage between datasets, focusing on tools like Silk. NOTE: This a three-part lecture, with all three videos hosted at the same URL. These videos represent material from several lessons that comprised a larger "module" of the EUCLID Project. As such, they cover a wider range of topics than most resources.

URL: http://videolectures.net/eswc2013_norton_acosta_linked_data/
Keywords: Vocabulary of Interlinked Datasets (VOID), Data extraction, Link discovery, Validation, Simple Knowledge Organization System (SKOS), Linked Open Vocabularies (LOV)
Author: Norton, Barry
Publisher: EUCLID Project
Date created: 2013-11-05 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P3H
Educational use: instruction
Educational audience: professional
Interactivity type: expositive

From Excel File to RDF with Links to DBpedia and Europeana

Abi Evans — Thu, 13 Aug 2015 13:45:23 +0000

This screencast is a step-by-step walk-through showing how to transform Excel tables to RDF data and then link that RDF data to external data sources. Google Refine is used for the transformation process. The goal is to show how to build a basic RDF structure, link particular tables, and explain the reconciliation process. The data is linked to the DBpedia and Europeana SPARQL endpoints.

URL: https://www.youtube.com/watch?v=XdpzmGxA33U
Keywords: Google Refine, Google Refine Expression Language (GREL), Excel, Schema alignment
Author: Da, Ani
Publisher: Digital Enterprise Research Institute (DERI)
Date created: 2012-10-23 07:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P15M