The document discusses Linked Open Data APIs and describes how they build upon the web architecture by using URIs to name things and make them accessible through HTTP, representing data using the Resource Description Framework (RDF) model, and linking representations. It provides examples of how RDF data can be queried and returned in different formats like JSON-LD and N3. The document also offers design advice for Linked Data APIs, such as using URIs instead of internal IDs and reusing existing vocabularies and ontologies.
A single interface for accessing life sciences (LS) data is a natural consequence to master the data deluge in this domain. The data in the LS requires integration and current integrative solutions increasingly rely on the federation of queries for distributed resources. We introduce a federated query processing system name ``BioFed", customised for LS-LOD. BioFed federates SPARQL queries over more than 130 public SPARQL endpoints.
SPARQL and the Open Linked Data initiativeFulvio Corno
An introduction to the SPARQL query language and its application to the Open Linked Data initiative. Slides for the PhD Course on Semantic Web (http://elite.polito.it/).
A single interface for accessing life sciences (LS) data is a natural consequence to master the data deluge in this domain. The data in the LS requires integration and current integrative solutions increasingly rely on the federation of queries for distributed resources. We introduce a federated query processing system name ``BioFed", customised for LS-LOD. BioFed federates SPARQL queries over more than 130 public SPARQL endpoints.
SPARQL and the Open Linked Data initiativeFulvio Corno
An introduction to the SPARQL query language and its application to the Open Linked Data initiative. Slides for the PhD Course on Semantic Web (http://elite.polito.it/).
From: Linked Data: what cataloguers need to know. A CIG event. 25 November 2013, Birmingham. #cigld
http://www.cilip.org.uk/cataloguing-and-indexing-group/events/linked-data-what-cataloguers-need-know-cig-event
Accompanying write-up from Catalogue & Index 174: http://discovery.ucl.ac.uk/1449458/
Lecture at the advanced course on Data Science of the SIKS research school, May 20, 2016, Vught, The Netherlands.
Contents
-Why do we create Linked Open Data? Example questions from the Humanities and Social Sciences
-Introduction into Linked Open Data
-Lessons learned about the creation of Linked Open Data (link discovery, knowledge representation, evaluation).
-Accessing Linked Open Data
Federated data stores using semantic web technologySteve Ray
Semantic web, or linked data technology can help address interoperability problems in the internet, and particularly in support of the Internet of Things. This is an simple introduction to this technology.
The ability to take data, understand it, visualize it and extract useful information from it is becoming a hugely important skill. How can you turn all those logs, histories of purchases and trades or open government data, into useful information that help your business make money?
In this talk, we’ll look at doing data science using F#. The F# language is perfectly suited for this task – type providers integrate external data directly into the language – your language suddenly _understands_ CSV, XML, JSON, REST services and other sources. The interactive development style makes it easy to explore data and test your algorithms as you’re writing them. Rich set of libraries for working with data frames, time series and for visualization gives you all the tools you need. And finally – F# easily integrates with statistical environments like R and Matlab, giving you access to the industry standard libraries.
Presentation given by Patricia Malcolm-Tompkins at the KikForum
Abstract:
Floras offer a means for the identification and correct naming of plants for a particular region. Kew’s tradition for writing Floras has lead to the production of 6 main African Floras, which together with other monographic work are gradually being digitised and will form part of the online e-floras resource. Having these works in digital form not only enables access to the Floras for users around the world through the internet, but also opens opportunities to improve and reuse this information. In this talk I will cover 3 ways in which the information in Floras and monographs can be used to build interactive identification systems. I will first describe the methodology used for the digitisation of Kew’s legacy works and how this information is now part of an online database for identification and nomenclatural queries (Flora Zambesiaca online). I will then demonstrate how Lucid Phoenix can be used to publish dichotomous keys online, using Phyllanthus key from Flora Zambesiaca as an example. And finally, I will demonstrate how to transfer character base information from a monograph (“Then genus Croton in Madagascar and the Comoro Is.” by A. Radcliffe-Smith - unpublished) into a DELTA/INTKEY system. With this key the user can arrive to a group of less than 10 taxa by using only 5 characters, out of a total of ~150 species of Croton.
Healthcare Data Management using Domain Specific Languages for Metadata Manag...David Milward
A talk looking at Human factors of DSL Usage, tool support for DSL users, benefits for using DSLs. In essence an experience report on the usage of DSL's in the development of a metadata management toolkit, which focuses on DSL development in general
The ability to take data, understand it, visualize it and extract useful information from it is becoming a hugely important skill. How can you turn all those logs, histories of purchases and trades or open government data, into useful information that help your business make money?
In this talk, we’ll look at doing data science using F#. The F# language is perfectly suited for this task – type providers integrate external data directly into the language – your language suddenly _understands_ CSV, XML, JSON, REST services and other sources. The interactive development style makes it easy to explore data and test your algorithms as you’re writing them. Rich set of libraries for working with data frames, time series and for visualization gives you all the tools you need. And finally – F# easily integrates with statistical environments like R and Matlab, giving you access to the industry standard libraries.
Roman Imperial Social Network and other thingsewg118
Presentation delivered to the Standards of Networking Ancient Prosopographies meeting, held in London, March 31-April 1, 2014. It discusses nomisma.org and kerameikos.org datasets that can contribute to SNAP, the Roman Imperial Social Network (RISN) dataset, under development, and the open source EAC-CPF editing and publication software, xEAC (https://github.com/ewg118/xEAC)
Tape is a collection of queue-related classes for Android and Java by Square, Inc. We'll show you how to create tasks that can be paused and resumed later if the application crashes, connectivity is lost or even if the battery is drained out.
From: Linked Data: what cataloguers need to know. A CIG event. 25 November 2013, Birmingham. #cigld
http://www.cilip.org.uk/cataloguing-and-indexing-group/events/linked-data-what-cataloguers-need-know-cig-event
Accompanying write-up from Catalogue & Index 174: http://discovery.ucl.ac.uk/1449458/
Lecture at the advanced course on Data Science of the SIKS research school, May 20, 2016, Vught, The Netherlands.
Contents
-Why do we create Linked Open Data? Example questions from the Humanities and Social Sciences
-Introduction into Linked Open Data
-Lessons learned about the creation of Linked Open Data (link discovery, knowledge representation, evaluation).
-Accessing Linked Open Data
Federated data stores using semantic web technologySteve Ray
Semantic web, or linked data technology can help address interoperability problems in the internet, and particularly in support of the Internet of Things. This is an simple introduction to this technology.
The ability to take data, understand it, visualize it and extract useful information from it is becoming a hugely important skill. How can you turn all those logs, histories of purchases and trades or open government data, into useful information that help your business make money?
In this talk, we’ll look at doing data science using F#. The F# language is perfectly suited for this task – type providers integrate external data directly into the language – your language suddenly _understands_ CSV, XML, JSON, REST services and other sources. The interactive development style makes it easy to explore data and test your algorithms as you’re writing them. Rich set of libraries for working with data frames, time series and for visualization gives you all the tools you need. And finally – F# easily integrates with statistical environments like R and Matlab, giving you access to the industry standard libraries.
Presentation given by Patricia Malcolm-Tompkins at the KikForum
Abstract:
Floras offer a means for the identification and correct naming of plants for a particular region. Kew’s tradition for writing Floras has lead to the production of 6 main African Floras, which together with other monographic work are gradually being digitised and will form part of the online e-floras resource. Having these works in digital form not only enables access to the Floras for users around the world through the internet, but also opens opportunities to improve and reuse this information. In this talk I will cover 3 ways in which the information in Floras and monographs can be used to build interactive identification systems. I will first describe the methodology used for the digitisation of Kew’s legacy works and how this information is now part of an online database for identification and nomenclatural queries (Flora Zambesiaca online). I will then demonstrate how Lucid Phoenix can be used to publish dichotomous keys online, using Phyllanthus key from Flora Zambesiaca as an example. And finally, I will demonstrate how to transfer character base information from a monograph (“Then genus Croton in Madagascar and the Comoro Is.” by A. Radcliffe-Smith - unpublished) into a DELTA/INTKEY system. With this key the user can arrive to a group of less than 10 taxa by using only 5 characters, out of a total of ~150 species of Croton.
Healthcare Data Management using Domain Specific Languages for Metadata Manag...David Milward
A talk looking at Human factors of DSL Usage, tool support for DSL users, benefits for using DSLs. In essence an experience report on the usage of DSL's in the development of a metadata management toolkit, which focuses on DSL development in general
The ability to take data, understand it, visualize it and extract useful information from it is becoming a hugely important skill. How can you turn all those logs, histories of purchases and trades or open government data, into useful information that help your business make money?
In this talk, we’ll look at doing data science using F#. The F# language is perfectly suited for this task – type providers integrate external data directly into the language – your language suddenly _understands_ CSV, XML, JSON, REST services and other sources. The interactive development style makes it easy to explore data and test your algorithms as you’re writing them. Rich set of libraries for working with data frames, time series and for visualization gives you all the tools you need. And finally – F# easily integrates with statistical environments like R and Matlab, giving you access to the industry standard libraries.
Roman Imperial Social Network and other thingsewg118
Presentation delivered to the Standards of Networking Ancient Prosopographies meeting, held in London, March 31-April 1, 2014. It discusses nomisma.org and kerameikos.org datasets that can contribute to SNAP, the Roman Imperial Social Network (RISN) dataset, under development, and the open source EAC-CPF editing and publication software, xEAC (https://github.com/ewg118/xEAC)
Tape is a collection of queue-related classes for Android and Java by Square, Inc. We'll show you how to create tasks that can be paused and resumed later if the application crashes, connectivity is lost or even if the battery is drained out.
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https://doi.org/10.6084/m9.figshare.11854626.v1
Presented at Dutch National Librarian/Information Professianal Association annual conference 2011 - NVB2011
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Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...informapgpstrackings
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2. Linked Open Data in 1 slide
1. URIs
2. Uniform access
3. Uniform representation
4. Links
3. Web of linked documents
1. URLs
2. HTTP GET/POST
3. HTML (DOM tree)
4. href
4. Web of linked data
1. Use URIs to name things
2. Make URIs accessible through HTTP with
standard uniform semantics (REST)
3. Use standard uniform representations for the
exposed things (RDF)
4. Link representations
5. A note on RDF
Uniform and general data model
Carlos
33 31
Jillhttp://mexicans.mx/Carlos#me
http://britons.co.uk/Jill#me
foaf:friendOf
foaf:age
foaf:age
foaf:name
foaf:name
7. A note on RDF
GET http://mexicans.mx/Carlos#me
Accept: application/json+ld
GET http://mexicans.mx/Carlos
Accept: application/json+ld
{
"@id": "http://mexicans.mx/Carlos#me",
"name": "Carlos",
"age": 33,
"knows": "http://britons.co.uk/Jill#me",
"@context": {
"@vocab": "http://xmlns.com/foaf/0.1/",
"friendOf": {"@type":"@id"}
}
}
http://mexicans.mx/Carlos#me foaf:age (33 xsd:int)
http://mexicans.mx/Carlos#me foaf:name (‘Carlos’ xsd:string)
http://mexicans.mx/Carlos#me foaf:friendOf http://britons.co.uk/Jill#me
Carlos
33
http://mexicans.mx/Carlos#me
foaf:friendOf
foaf:age
foaf:name
http://britons.co.uk/Jill#me
8. A note on RDF
GET http://britons.co.uk/Jill#me
Accept: text/n3
GET http://britons.co.uk/Jill
Accept: text/n3
<http://britons.co.uk/Jill#me>
<foaf:name> “Jill” ;
<foaf:age> 35^^<xsd:int> ;
<foaf:friendOf> <http://mexicans.mx/Carlos#me> .
http://britons.co.uk/Jill#me foaf:age (31 xsd:int)
http://britons.co.uk/Jill#me foaf:name (‘Jill’ xsd:String)
http://britons.co.uk/Jill#me foaf:friendOf http://mexicans.mx/Carlos#me
Carlo
s
33 31
http://mexicans.mx/Carlos#me
http://britons.co.uk/Jill#me
foaf:friendOf
foaf:age
foaf:age
foaf:name
foaf:name
Jill
9. LD API architecture
ABox / Data (RDF)
TBox / Schema
(OWL,FOAF,FIBO)
Relatio
nal DB
Triple
Store
Physical Mapping (R2RML)
Conceptual RDF graph
Linked
Resource
Graph partition
HTTPS
CRUD Semantics / SPARQL
REST Semantics / Linked
Data Platform (LDP)
Representa
tion
JSON-LD, N3, Turtle, RDF/XML
URL
Legacy
API
Authentication / WebID
(W3C Recommendations)
10. API design advice
● Use URIs, not db ids, UUIDs...
● Design a data model, not end-points
● Re-use vocabularies / ontologies
● Link entities, don’t embed them
● Data needs a schema / meta-data
● Representation is different from data model