WordLift: Meaningful Navigation Systems and Content Recommendation for News Sites running WordPress
published: July 15, 2015, recorded: May 2015, views: 80
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
WordLift (WL) is an extension of WordPress that helps to search, organise, tag, browse, evaluate, and share content produced by bloggers, content owners and independent news organisations. While traditional CMS contain only text which computers can neither understand nor evaluate, WordLift adds semantic annotations that allow a website or a blog to function as a collaborative knowledge base. WordLift combines information publicly available as linked open data to support the editorial workflow of web publishers by suggesting relevant information, images and links. WordLift analyses articles using Named Entity Recognition (NER). The entities may pertain to different vocabulary sets including but not limited to DBpedia, GeoNames and Freebase. WordLift also provides UIs for creating and curating custom vocabularies. While annotating contents editors can identify the basic 'who, what, when and where' of an article and structure information around it by creating new entities in their custom vocabularies. Named entities are stored in the local WordPress database as well as in an optimized triple store in the cloud running Apache Marmotta. Annotation and entities are accessible via a Web Page and also using RDF, N3 and JSON-LD formats. Moreover the triple-store can be queried via SPARQL.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !