Resource Description Framework (RDF) is an open standard by W3C for describing concepts and resources digitally with semantic meaning. The SPARQL standard is syntax and protocol for making querying and manipulating datasets in RDF format. The standard is comprehensive and includes everything from searching, updating, exporting and maintaining RDF datasets and can be compared with the SQL standard for relational databases. With the difference that SPARQL is applied to datasets with triplets pattern – subject, predicate, object and has a semantic meaning. The guide is based on the previously presented knowledge graph with artists and paintings.
Continue reading “RDF elementary guide part 3: SPARQL querying knowledge graphs and datasets with semantic meaning”RDF elementary guide part 2: Creating Ontologies and Knowledge Graphs with RDF-Schema
The Resource Description Framework (RDF) is an open standard by W3C to describe concepts and resources digitally with semantic meaning. Data described in RDF format can be exchanged and reused with retained conceptual understanding of concepts between businesses, industries and countries. This is the second article in a series that introduce the basics of describing digital resources with semantic meaning. The model in the article interlink resource descriptions from Wikidata (Wikipedia) to relate to equivalent concepts to create context. The previous article describe how classes and properties are defined with RDF-Schema (RDFS).
Continue reading “RDF elementary guide part 2: Creating Ontologies and Knowledge Graphs with RDF-Schema”RDF elementary guide part 1: Class and property definition in RDF-Schema
Resource Description Framework (RDF) is an open standard of the W3C to describe digital resources with semantic meaning. Data described in RDF format can be exchanged and reused while maintaining a conceptual understanding of resources between businesses, industries and countries. This is the first article in a series of guides to get started describing data with semantic meaning. The first article describes how concepts with associated attributes are defined with RDF-Schema.
Continue reading “RDF elementary guide part 1: Class and property definition in RDF-Schema”Congruent organisational structure – digital value creation part 2
In order for businesses to gain added value from partnerships, they need to be structured and adapted to collaborate. Which facilitate quick and efficient implementation of decision-making processes, project change, knowledge transfer et cetera. Congruent structures are the second general mechanism identified in the study of data and information exchange within a partnership between train operators and the Swedish Transport Administration. The first mechanism highlights interoperability for digital resources and infrastructure.
Continue reading “Congruent organisational structure – digital value creation part 2”State-of-art of linked data and semantic web
Resource description framework (RDF) is a technical framework for data exchange and interpretation of concepts published on the Web. This used to be called the semantic web, which never became a reality. Now, almost 20 years after its launch, interest seems to be on the rise to address some of the issues that the digitalised society faces.
Continue reading “State-of-art of linked data and semantic web”Interoperability for digital resource and infrastructure – Digital value creation part 1
A recently completed study examined railway operators perspectives on digital value creation within the partnership between Swedish Transport Administration and national railway operators for data and information exchange. The first mechanism identified of three, highlights value creation of data and information exchange and alignment of information system used within the collaboration.
Continue reading “Interoperability for digital resource and infrastructure – Digital value creation part 1”Machine-readable in open data context
The attention to make data available in machine-readable formats is something that is addressed in more articles related to open data for better proliferation. The Swedish government is proposing a bill for better reuse of public transportation data trough machine-readable format and we have addressed the importance of machine-readable format in a article about liquid open data. What is often not mentioned is the importance of metadata in regards to machine-readable formats to augment use and reuse of data. Therefore, we want to give our perspective on why metadata are an indistinguishable part of open data and machine-readable formats. Continue reading “Machine-readable in open data context”
Review of Trafikverket open API for traffic information
The Swedish transport administration authority Trafikverket, offering several open data services. One of these is the API for traffic information, which contains data and information for nation-wide train and road traffic. The API began as a information service for train, which was later on expanded to include road data. Our reviews of open APIs are part of an effort to highlight barriers and requirements from a user perspective. We hope that the reviews providing constructive feedback to the data owners, and inspire others by showing examples and solutions. Read more about the background to why we are reviewing open APIs and open data sources.
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Review of Västtrafik open API for public transport
Västtrafik handles and coordinate all public transport in west Sweden with the city of Gothenburg as its main transit hub. Västtrafik offers several APIs to search and plan journeys by train, tram, ferries and bus in West Sweden. The API can be found at Västtrafiks development portal (in Swedish), which serves as a focal point for their open API service. The aim of our reviews of open API:s is to shed light on common obstacles and requirements from a user perspective. Note that the portal around the API is in Swedish, but the documentation and the API syntax is in English. The review will try to guide user with no knowledge in Swedish on how to get started. Continue reading “Review of Västtrafik open API for public transport”
User demand driven and machine-readable open data
Open data is undergoing a paradigm change where the focus is shifting to user demand driven publication of data in machine-readable formats, with open standards and licenses that is appropriate for its application area. This is often refereed to as “liquid information” or “liquid data” which can be read about in this report from McKinsey’s 2013. The report address the potential value that can be achieved if standards, formats and metadata are functional for its intended use. Open data 2.0 is another emerging term which refers to data that is being made available based on demand and provides means for participation and collaboration, where users can report suggestions for improvement and provide feedback on flawed data. Continue reading “User demand driven and machine-readable open data”