eProphet Payroll is a comprehensive, robust, feature-rich payroll software solution tailor-made for the quick service restaurant (QSR) industry. Which we believe is the best payroll software.
En la actualidad, el diseño centrado en el usuario se convierte en un elemento primordial al momento de concebir un producto o un servicio DIGITAL.
Ya que todo está en constante movimiento y los usuarios demandan que sus marcas estén con ellos en cada instante de sus vidas haciéndoles vivir experiencias que los lleven al límite. Es por esto que nos enfocamos en explicar cómo las marcas han decidido dar experiencias a los usuarios a través de los medios digitales.
eProphet Payroll is a comprehensive, robust, feature-rich payroll software solution tailor-made for the quick service restaurant (QSR) industry. Which we believe is the best payroll software.
En la actualidad, el diseño centrado en el usuario se convierte en un elemento primordial al momento de concebir un producto o un servicio DIGITAL.
Ya que todo está en constante movimiento y los usuarios demandan que sus marcas estén con ellos en cada instante de sus vidas haciéndoles vivir experiencias que los lleven al límite. Es por esto que nos enfocamos en explicar cómo las marcas han decidido dar experiencias a los usuarios a través de los medios digitales.
Managing Metadata for Science and Technology Studies: the RISIS caseRinke Hoekstra
Presentation of our paper at the WHISE workshop at ESWC 2016 on requirements for metadata over non-public datasets for the science & technology studies field.
Prov-O-Viz is a visualisation service for provenance graphs expressed using the W3C PROV vocabulary. It uses the Sankey-style visualisation from D3js.
See http://provoviz.org
Linkitup: Link Discovery for Research DataRinke Hoekstra
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.
A Network Analysis of Dutch Regulations - Using the Metalex Document ServerRinke 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)
Managing Metadata for Science and Technology Studies: the RISIS caseRinke Hoekstra
Presentation of our paper at the WHISE workshop at ESWC 2016 on requirements for metadata over non-public datasets for the science & technology studies field.
Prov-O-Viz is a visualisation service for provenance graphs expressed using the W3C PROV vocabulary. It uses the Sankey-style visualisation from D3js.
See http://provoviz.org
Linkitup: Link Discovery for Research DataRinke Hoekstra
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.
A Network Analysis of Dutch Regulations - Using the Metalex Document ServerRinke 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)
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).
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.
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)
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.