Introducing WordLift 3.0: Dynamic Semantic Publishing for WordPress

Andrea Volpini


With the introduction of WordLift 3.0 (currently in beta testing) creating entity-centric web contents with WordPress has became extremely easy.

WordLift helps web editors seamlessly re-organise contents by telling them how each content is related to other published materials and how it relates to the data available in the Linked Open Data Cloud.  

WordLift 3.0 uses natural language processing and metadata extraction (using the Redlink APIs for Content Analysis and Linked Data Publishingto help publishers categorize content and enrich metadata by pulling information from publicly available Linked Data resources.

The Entity Search Revolution

In September 2013 Google announced that it had rolled out a brand new algorithm – “Hummingbird” – the month before. The name was chosen with care – the Hummingbird is very fast, and extremely precise. Hummingbird is a major move towards semantic search for Google and a big change in commercial search engines in general. As for Bing, Yandex and Yahoo! with Hummingbird named entities are become increasingly important.

Google has greatly improved its understanding of user  intention – especially for long-tail searches. The search query, and the relations between words in the search query, is now targeted, identified and interpreted.

As search engines get better at understanding the search intent of their users it becomes extremely important to publish and curate contents that are truly relevant using entities-based information architectures rather than pages and menus.

The Preview of WordLift 3.0

We had the opportunity to present a preview of WordLift 3.0 at the Linked Open Data 2014 event in Rome, Italy (an event organised by the W3C Italy). Here is our presentation and the screencast.

To begin testing our new release click the button below.

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