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INVITACIÓN EXPOSICIÓN PICTÓRICA 2015
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Provenance and Reuse of Open Data (PILOD 2.0 June 2014)
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Linkitup is a Web-based dashboard for enrichment of research output published via industry grade data repository services. It takes metadata entered through Figshare.com and tries to find equivalent terms, categories, persons or entities on the Linked Data cloud and several Web 2.0 services. It extracts references from publications, and tries to find the corresponding Digital Object Identifier (DOI). Linkitup feeds the enriched metadata back as links to the original article in the repository, but also builds a RDF representation of the metadata that can be downloaded separately, or published as research output in its own right. In this paper, we compare Linkitup to the standard workflow of publishing linked data, and show that it significantly lowers the threshold for publishing linked research data.
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In this paper we explore the possibilities of using the Linked Data representation of all Dutch regulations stored in the MetaLex Doc- ument Server for the purposes of network analysis over the citation graph between regulations, both at the document level, and at the article level. We show that this is possible using relatively straightforward SPARQL queries, and present preliminary results of the analysis. A Network Analysis of Dutch Regulations. Rinke Hoekstra. figshare. http://dx.doi.org/10.6084/m9.figshare.689880 Retrieved 11:12, Oct 07, 2013 (GMT)
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Rinke Hoekstra
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QBer - Connect your data to the cloud
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Jurix 2014 welcome presentation
Rinke Hoekstra
Provenance and Reuse of Open Data (PILOD 2.0 June 2014)
Provenance and Reuse of Open Data (PILOD 2.0 June 2014)
Rinke Hoekstra
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Prov-O-Viz: Interactive Provenance Visualization
Rinke Hoekstra
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Linkitup: Link Discovery for Research Data
Rinke Hoekstra
In this paper we explore the possibilities of using the Linked Data representation of all Dutch regulations stored in the MetaLex Doc- ument Server for the purposes of network analysis over the citation graph between regulations, both at the document level, and at the article level. We show that this is possible using relatively straightforward SPARQL queries, and present preliminary results of the analysis. A Network Analysis of Dutch Regulations. Rinke Hoekstra. figshare. http://dx.doi.org/10.6084/m9.figshare.689880 Retrieved 11:12, Oct 07, 2013 (GMT)
A Network Analysis of Dutch Regulations - Using the Metalex Document Server
A Network Analysis of Dutch Regulations - Using the Metalex Document Server
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Linked (Open) Data - But what does it buy me?
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Linked Science - Building a Web of Research Data
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This presentation describes the use by Data2Semantics (http://www.data2semantics.org) of the VIVO portal (http://vivoweb.org) for interlinking researchers contributing to projects within the COMMIT programme (http://www.commit-nl.nl).
COMMIT/VIVO
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Rinke Hoekstra
Semantic Representations for Research
Semantic Representations for Research
Rinke Hoekstra
The Data2Semantics project (COMMIT P23) is all about enriching research data, and making it more reusable for future research. Using Linked Data for this task is a fairly obvious step to make (surprise!). However, there are several shortcomings the current practices in publishing Linked Data, that calls for a slightly different approach which (hopefully) bridges a gap between Web 2.0 and Web 3.0. I will present a proof-of-concept service (Linkitup) that works on top of existing scientific data repositories, and allows individual researchers to enrich their data with additional (linked) metadata.
A Slightly Different Web of Data
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Keynote talk at CSHALS 2012 in Boston on the Knowledge Reengineering Bottleneck: knowledge engineering in the linked data age.
The Knowledge Reengineering Bottleneck
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Rinke Hoekstra
Talk about the use of Linked Data in historical research on census data. Has some slides about TabLInker as well (http://github.com/Data2Semantics/TabLinker). Part of the data2semantics project (http://data2semantics.org)
Linked Census Data
Linked Census Data
Rinke Hoekstra
Presentatie voor de Belastingdienst in het kader van een onderzoek naar de (on)mogelijkheden rond het herkennen en extraheren van concepten en hun definities, en het representeren daarvan met Semantic Web standaarden.
Concept- en Definitie Extractie
Concept- en Definitie Extractie
Rinke Hoekstra
SIKS 2011 Semantic Web Languages
SIKS 2011 Semantic Web Languages
Rinke Hoekstra
The MetaLex Document Server - Legal Documents as Versioned Linked Data
The MetaLex Document Server - Legal Documents as Versioned Linked Data
Rinke Hoekstra
Presentation at the Knowledge Systems course of the UvA (December 2010)
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Querying the Web of Data
Rinke Hoekstra
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Provenance and Reuse of Open Data (PILOD 2.0 June 2014)
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A Network Analysis of Dutch Regulations - Using the Metalex Document Server
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Linked (Open) Data - But what does it buy me?
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Linked Science - Building a Web of Research Data
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Semantic Representations for Research
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A Slightly Different Web of Data
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The Knowledge Reengineering Bottleneck
Linked Census Data
Linked Census Data
Concept- en Definitie Extractie
Concept- en Definitie Extractie
SIKS 2011 Semantic Web Languages
SIKS 2011 Semantic Web Languages
The MetaLex Document Server - Legal Documents as Versioned Linked Data
The MetaLex Document Server - Legal Documents as Versioned Linked Data
Querying the Web of Data
Querying the Web of Data
Overzicht Promoozo
1.
Automatische Aansprakelijkheids-toewijzing /
Commonsense causale verklaring in een juridisch domein Rinke Hoekstra
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Functional Ontology of
Law (Valente)
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9.
Schema
10.
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