The project explores how external linked data, as provided by OCLC's edition and work descriptions, can be mappend on a collection of bibliographical instances, in order to link multiple editions/instances to a common work. Results are reported in this ZBW Labs article.
ZBW Labs now uses DBpedia resources as tags/categories for articles and projects. The new Web Taxonomy plugin for DBpedia Drupal module (developed at ZBW) integrates DBpedia labels, stemming from Wikipedia page titles, via a comfortable autocomplete plugin into the authoring process. On the term page (example), further information about a keyword can be obtained by a link to the DBpedia resource. This at the same time connects ZBW Labs to the Linked Open Data Cloud.
The plugin is the first one released for Drupal Web Taxonomy, which makes LOD resources and web services easily available for site builders. Plugins for further taxonomies are to be released within our Economics Taxonomies for Drupal project.
From the beginning, our econ-ws (terminology) web services for economics produce tabular output, very much like the results of a SQL query. Not a surprise - they are based on SPARQL, and use the well-defined table-shaped SPARQL 1.1 query results formats in JSON and XML, which can be easily transformed to HTML. But there are services, whose results not really fit this pattern, because they are inherently tree-shaped. This is true especially for the /combined1 and the /mappings service. For the former, see our prior blog post; an example of the latter may be given here: The mappings of the descriptor International trade policy are (in html) shown as:
|<http://zbw.eu/stw/descriptor/10616-4>||"International trade policy" @en||<http://www.w3.org/2004/02/skos/core#exactMatch>||"International trade policies" @en||<http://aims.fao.org/aos/agrovoc/c_31908>||<http://zbw.eu/stw/mapping/agrovoc/target>|
|<http://zbw.eu/stw/descriptor/10616-4>||"International trade policy" @en||<http://www.w3.org/2004/02/skos/core#closeMatch>||"Commercial policy" @en||<http://dbpedia.org/resource/Commercial_policy>||<http://zbw.eu/stw/mapping/dbpedia/target>|
That´s far from perfect - the "concept" and "prefLabel" entries of the source concept(s) of the mappings are identical over multiple rows.
As a laboratory for new, Linked Open Data based publishing technologies, we now develop the ZBW Labs web site as a Semantic Web Application. The pages are enriched with RDFa, making use of Dublin Core, DOAP (Description of a Project) and other vocabularies. The schema.org vocabulary, which is also applied through RDFa, should support search engine visibility.
With this new version we aim at a playground to test new possibilities in electronic publishing and linking data on the web. At the same time, it facilitates editorial contributions from project members about recent developments and allows comments and other forms of participation by web users.
As it is based on Drupal 7, RDFa is "build-in" (in the CMS core) and is easy done by configuration on a field level. Enhancements are made through the RDFx. Schema.org and SPARQL Views modules. A lot of other ready-made components in Drupal (most noteworthy the Views and the new Entity Reference modules) make it easy to provide and interlink the data items on the site. The current version of Zen theme enables the HTML 5 and the use of RDFa 1.1, and permits a responsive design for smartphones and pads.
The Linked Open Data movement has gained momentum in the library world, resulting into a set of LOD publications from bibliographic metadata. By publishing the metadata from our repository for Working Papers in Economics and Business Studies (econstor.eu), we provide more than 40.000 bibliographic records as RDF triples. The dataset contains links to well-established external datasets for thesauri in Economics like our own STW and the JEL classification.
Here you can find the historical press clippings archives of the ZBW as Linked Open Data. Nearly 7,000 dossiers on individual persons and companies with more than 250,000 press clippings and company reports can be made addressable and citable down to page level. They can be viewed comfortably with the DFG viewer and are linked to data in the Linked Data Cloud.
The Journal of Economic Literature (JEL) Classification System was created and is maintained by the American Economic Association. The AEA provides this widely used resource freely for scholarly purposes.
The JEL dataset (as of 2012-09) is mirrored here to mint preliminary identifiers for semantic web applications and to publish the translations from the original (English) version to German, French and Spanish which were created by André Davids, K.U. Leuven. This site and especially the translations are not authorized by AEA.
As the publisher of the STW Thesaurus for Economics, ZBW provides experimental thesaurus web services for use by humans and by machines. In the first instance these services are designed to support autosuggest functions and query expansion in the context of information retrieval applications. Parts of the delivered data originate from datasets which were created by third parties and shared through open licenses.
ZBW Labs Website is a semantically enriched directory of ZBW Labs Projects. Labs projects range from small showcases, which may or may not be part of a larger project, to full-fleged applications in beta state.
The new ZBW Labs website is based on Drupal 7 and uses RDFa, which is part of Drupal Core. Used vocabularies are Dublin Core Terms (dc), Description of a Project (doap) und Schema.org (schema).