Reads and understands high-level descriptions of the classes and properties of a dataset in order to write queries. – Linked Data for Professional Education

Wikidata and Authority Control

Tue, 17 Jan 2017 06:46:13 +0000

This video discuss Wikidata's pivotal role in bolstering authority control in Wikipedia through automated interactions with VIAF and other international authority files. Also includes a step-by-step Wikidata tutorial.

URL: https://www.youtube.com/watch?v=cMMzfG9LITc
Keywords: Virtual International Authority File (VIAF), Wikipedia
Author: Proffitt, Merrilee
Publisher: OCLCResearch
Date created: 2013-06-05 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P15M

An Introduction to Wikidata

Tue, 17 Jan 2017 06:46:13 +0000

Describes Wikidata, a "free and open knowledge base" which houses the data formerly located at Google's Freebase. Discusses how Wikidata is well-placed to solve data provenance issues on the Web, such as those currently faced by Google's Knowledge Graph. Wikidata is machine-readable, open source, and multilingual. In addition, it assigns unique identifiers to resources and describes those resources using statements.

URL: https://www.youtube.com/watch?v=GFh9gVUgbuA
Keywords: Knowledge Graph, Wikipedia
Author: McAndrew, Ewan
Publisher: Wikimedia UK
Date created: 2016-09-02 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P25M
Educational use: instruction
Educational audience: student
Interactivity type: expositive

Ordnance Survey Linked Data: Combining Postcode and Spatial Queries

Mon, 16 Jan 2017 06:46:07 +0000

Building on previous blog posts, the author shows how to query and combine data from two different datasets. Although the datasets were published by the same organization, they are in two different file formats (CSV and shape). The two datasets are, however, implicitly linked via a key. By converting both datasets into a common data language (RDF), those implicit links can be made explicit, allowing the user to easily query both datasets together.

URL: https://johngoodwin225.wordpress.com/2013/08/05/ordnance-survey-linked-data-combining-postcode-and-spatial-queries/
Keywords: SPARQL, Linked Open Data (LOD), Government Open Data
Author: Goodwin, John
Date created: 2013-08-05 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P20M
Educational use: instruction

Ordnance Survey Linked Data: A Simple Postcode Query

Mon, 16 Jan 2017 06:46:07 +0000

This blog post shares give some simple examples of what can be done with the Code-Point(R) Open dataset, available as Linked Open Data (LOD). This dataset has a URI for every Postcode Unit, Postcode Sector, Postcode District and Postcode Area in England, Scotland and Wales. Includes example SPARQL queries and also serves as a brief exercise in how to find the URIs of particular resources within a dataset and determine which predicates describe important relationships between those resources. These skills are necessary to form SPARQL queries.

URL: https://johngoodwin225.wordpress.com/2013/08/05/ordnance-survey-linked-data-a-simple-postcode-query/
Keywords: Linked Open Data (LOD), SPARQL
Author: Goodwin, John
Date created: 2013-08-05 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P15M
Educational use: professionalDevelopment
Educational audience: student
Interactivity type: expositive

Ordnance Survey Linked Data: A Simple Spatial Query

Wed, 11 Jan 2017 06:45:37 +0000

In this blog post, the author discusses the relative lack of spatial indexes for data in RDF triple stores, compared to data stored in GIS systems and a number of spatially enabled relational databases. He shares an example using the Ordnance Survey Data's API to obtain a location's URI, which is then used to construct a series of SPARQL queries based on several spatial relationships related to that location.

URL: https://johngoodwin225.wordpress.com/2013/08/02/ordnance-survey-linked-data-a-simple-spatial-query/
Keywords: Linked Open Data (LOD), Government Open Data, SPARQL
Author: Goodwin, John
Date created: 2013-08-02 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P15M
Educational use: professionalDevelopment
Educational audience: student
Interactivity type: expositive

Wikidata SPARQL Query Tutorial

Thu, 29 Dec 2016 06:44:05 +0000

This video presentation demonstrates how to construct SPARQL queries simply and easily using the Wikidata Query Service. It works through an example of searching for notable females educated at the University of Edinburgh, with results filtered by place of birth. The data is then visualized with images, timelines, maps, and in the new Timeline Viewer using Histropedia.

URL: https://www.youtube.com/watch?v=1jHoUkj_mKw
Keywords: Wikidata, Histropedia, SPARQL
Author: McAndrew, Ewan
Date created: 2016-09-02 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P30M
Educational use: instruction
Educational audience: professional
Interactivity type: expositive

DBPedia SPARQL Endpoint Exercises

Thu, 24 Nov 2016 05:51:17 +0000

This slide tutorial teaches the user how to form SPARQL queries to answer various questions of interest and retrieve results from DBpedia's SPARQL endpoint. In each example, a prompt is given and then followed by the completed query and results table. Also discussed is how to find an appropriate vocabulary using the Linked Open Vocabularies (LOV).

URL: http://skkudatalab.weebly.com/dbpedia.html
Keywords: SPARQL, DBpedia, Linked Open Vocabularies (LOV)
Author: Kim, Seonghun
Publisher: Sungkyunkwan University (SKKU)
Date created: 2016-11-22 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P20M
Educational use: instruction
Educational audience: teacher-educationSpecialist
Interactivity type: mixed

Querying the Linked Archives Hub data using SPARQL

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

This blog post provides a few sample SPARQL queries that can be used as a starting point for exploring an unfamiliar dataset. The queries are intended to give users an idea of what is possible and a platform to build on. The dataset used in these examples is LOCAH archival data which, like most archives, is hierarchically organized into collection level and sub-levels.

URL: http://locah.archiveshub.ac.uk/tag/sparql/
Keywords: Archives, Dataset, RDF, SPARQL endpoint, SPARQL
Author: Petej
Publisher: LOCAH Project
Date created: 2011-05-10 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P30M

Watch this: Probe the Semantic Web with SPARQL

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

One thing that is immediately obvious from the triple pattern of SPARQL queries is that harvesting information from the Semantic Web is more complex than firing query terms at a database. SPARQL queries are addresses to specific locations in the RDF graph structure, and furthermore, the elements of a SPARQL query are themselves addresses.

URL: http://staff.washington.edu/tabrooks/SPARQL/watchThisSPARQL.htm
Keywords: SPARQL endpoint, DBpedia, Semantic Web, Linked Movie Database (LinkedMDB), MeSH (Medical Subject Headings)
Author: Brooks, Terrance
Publisher: Information Research
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P1H
Interactivity type: mixed

Linked Data and SPARQL Queries Tutorial

Wed, 30 Dec 2015 18:37:26 +0000

This tutorial goes through some basic SPARQL queries in order to give the user a sense of how to discover and query different Linked Data (LD) sets. It seeks to answer, through some examples, the following questions:1. How do I know where to look to identify LD sets? 2. Once I know that a LD set of interest exists, how should I query it? 3. How do I query across different LD sets?

URL: http://ctsaconnect.org/system/files/Linked%20data%20and%20SPARQL%20queries%20tutorial.pdf
Keywords: Linked Data, Linked Open Data Cloud, Dataset, RDF, SPARQL, Query, SPARQL endpoint
Publisher: VIVO
Date created: 2012-01-01 07:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P30M
Educational use: instruction
Educational audience: generalPublic
Interactivity type: active