Importing, transforming, storing and indexing data should be easy.

Catmandu is a command line tool to access and convert data from your digital library, research services or any other open data sets. Catmandu provides a suite of Perl modules to ease the import, storage, retrieval, export and transformation of metadata records. Combine Catmandu modules with web application frameworks such as PSGI/Plack, document stores such as MongoDB and full text indexes such as Solr to create a rapid development environment for digital library services such as institutional repositories and search engines.

In the http://librecat.org/ project it is our goal to provide an open source set of programming components to build up digital libraries services suited to your local needs.

Read an in depth introduction into Catmandu programming at https://github.com/LibreCat/Catmandu/wiki/Introduction.

Bibliopedia will perform advanced data-mining and cross-referencing of scholarly literature to create a humanities-centered collaboratory. As a prototype, it will search resources including JSTOR and Library of Congress for metadata about scholarly articles and books that mention the famed medieval travel narrative The Travels of Sir John Mandeville, examine the articles and books for citations, then save the results in a publicly accessible database. Although using works centered around a single text as a test case, Bibliopedia will be designed to work with all humanities scholarship. Bibliopedia will also allow users to create browsable and customizable bibliographies of all the works cited by each article and book. Most importantly, it will use semantic web technology to perform automated textual analysis, data extraction, cross-referencing, and visualizations of the relationships among texts and authors.

Bibliopedia will crawl, aggregate, cross-reference, and display multiple scholarly repositories such as JSTOR, Library of Congress, Project Muse, and Google Books. The project will transform bibliographic data that is currently readable only by humans into machine-readable data via semantic web technology, which will make scholarly resources available for automated analyses, inferences, and visualizations.

Korbo is a powerful aggregation platform for gathering Linked Data objects relevant to your area of research into single workspaces or “baskets”.

Korbo is targeted primarily at developers who want to build applications on top of its API and make full use of the linked cultural data from sources such as Europeana, FreeBase and DBPedia.

Korbo is currently in the early stages of development, but you can already try out a demo version of the platform.