347 research outputs found
Report of the Stanford Linked Data Workshop
The Stanford University Libraries and Academic Information Resources (SULAIR) with the Council on Library and Information Resources (CLIR) conducted at week-long workshop on the prospects for a large scale, multi-national, multi-institutional prototype of a Linked Data environment for discovery of and navigation among the rapidly, chaotically expanding array of academic information resources. As preparation for the workshop, CLIR sponsored a survey by Jerry Persons, Chief Information Architect emeritus of SULAIR that was published originally for workshop participants as background to the workshop and is now publicly available. The original intention of the workshop was to devise a plan for such a prototype. However, such was the diversity of knowledge, experience, and views of the potential of Linked Data approaches that the workshop participants turned to two more fundamental goals: building common understanding and enthusiasm on the one hand and identifying opportunities and challenges to be confronted in the preparation of the intended prototype and its operation on the other. In pursuit of those objectives, the workshop participants produced:1. a value statement addressing the question of why a Linked Data approach is worth prototyping;2. a manifesto for Linked Libraries (and Museums and Archives and …);3. an outline of the phases in a life cycle of Linked Data approaches;4. a prioritized list of known issues in generating, harvesting & using Linked Data;5. a workflow with notes for converting library bibliographic records and other academic metadata to URIs;6. examples of potential “killer apps” using Linked Data: and7. a list of next steps and potential projects.This report includes a summary of the workshop agenda, a chart showing the use of Linked Data in cultural heritage venues, and short biographies and statements from each of the participants
Linked Data - the story so far
The term “Linked Data” refers to a set of best practices for publishing and connecting structured data on the Web. These best practices have been adopted by an increasing number of data providers over the last three years, leading to the creation of a global data space containing billions of assertions— the Web of Data. In this article, the authors present the concept and technical principles of Linked Data, and situate these within the broader context of related technological developments. They describe progress to date in publishing Linked Data on the Web, review applications that have been developed to exploit the Web of Data, and map out a research agenda for the Linked Data community as it moves forward
Assigning Creative Commons Licenses to Research Metadata: Issues and Cases
This paper discusses the problem of lack of clear licensing and transparency
of usage terms and conditions for research metadata. Making research data
connected, discoverable and reusable are the key enablers of the new data
revolution in research. We discuss how the lack of transparency hinders
discovery of research data and make it disconnected from the publication and
other trusted research outcomes. In addition, we discuss the application of
Creative Commons licenses for research metadata, and provide some examples of
the applicability of this approach to internationally known data
infrastructures.Comment: 9 pages. Submitted to the 29th International Conference on Legal
Knowledge and Information Systems (JURIX 2016), Nice (France) 14-16 December
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Linked Data based Health Information Representation, Visualization and Retrieval System on the Semantic Web
Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.To better facilitate health information dissemination, using flexible ways to
represent, query and visualize health data becomes increasingly important.
Semantic Web technologies, which provide a common framework by
allowing data to be shared and reused between applications, can be applied
to the management of health data. Linked open data - a new semantic web
standard to publish and link heterogonous data- allows not only human,
but also machine to brows data in unlimited way.
Through a use case of world health organization HIV data of sub Saharan
Africa - which is severely affected by HIV epidemic, this thesis built a
linked data based health information representation, querying and
visualization system. All the data was represented with RDF, by
interlinking it with other related datasets, which are already on the cloud.
Over all, the system have more than 21,000 triples with a SPARQL
endpoint; where users can download and use the data and – a SPARQL
query interface where users can put different type of query and retrieve the
result. Additionally, It has also a visualization interface where users can
visualize the SPARQL result with a tool of their preference. For users who
are not familiar with SPARQL queries, they can use the linked data search
engine interface to search and browse the data.
From this system we can depict that current linked open data technologies
have a big potential to represent heterogonous health data in a flexible and
reusable manner and they can serve in intelligent queries, which can
support decision-making. However, in order to get the best from these
technologies, improvements are needed both at the level of triple stores
performance and domain-specific ontological vocabularies
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