On July 5th and 6th the team at WordLift reached Salzburg to meet the Consortium partners  for the WordLift Next Generation project. As you may know, WordLift received a grant from the EU to bring its tools to any website and to perfect anyone’s semantic SEOstrategy [link].

WordLift Next Generation is made up of WordLift, Redlink GmbH, SalzburgerLand Tourismus GmbH and the Department of Computer Science of the University of Innsbruck. The aim is to  develop a new platform to deliver Agentive SEO technology to any website, despite its CMS, and to concretely extend the possibilities of semantic SEO in a digital strategy. The work started in January 2019 and is being developed in a 3-year timeframe.

The project started with a clear definition of the roles and responsibilities of each partner in the scope to improve WordLift’s backend to enrich RDF/XML graphs with semantic similarity indices, full-text search and conversational UIs. The main goals for the project are: being able to add semantic search capabilities to WordLift, improved content recommendations on users’ websites and the integrations with personal digital assistants.


Here is an example of the initial testing done with Google’s team on a mini-app inside Google Search and the Google Assistant that we developed to experiment with conversational user interfaces.

Artificial Intelligence is leading big companies’ investments, and WordLift NG aims at bringing these technologies to small/mid sized business owners worldwide.

In order to accomplish these ambitions goals the consortium is working on various fronts:

  • Development of new functionalities and prototypes
  • Research activities 
  • Community engagement

What is WordLift NG?

The study for the new platform for WordLift’s clients started with a whole new user journey, including an improved UX. New features, developed with content analysis, include automatic content detection, specific web page markup, and knowledge graph curation.

The main benefit of this development is to exploit long tail queries to be featured as speakable (voice) tagging for search helpers. The new backend lets users create dedicated landing pages and applications with direct queries in GraphQL.

The new platform also provides users with useful information about data shared in the Knowledge Graph, including traffic stats, Structured Data reports. 

The development of NG involves features to bring WordLift’s technology to any CMS, the new on-boarding WebApp is part of that.

Envisioning a brand new customer journey, built to help publishers get their SEO done with a few easy steps, the new on-boarding web app guides the setup for users not running their websites on WordPress.

The workshop held various demos for applications developed by partners.

WordLift showcased a demo for semantic search built using Jina AI (an open-source AI-powered search framework), that uses deep learning models while providing relevant results when queried.
With semantic search one can immediately understand the intent behind customers and provide significantly improved search results that can drive deeper customer engagement.

This feature would have a major impact on e-commerces.

WordLift applied semantic search to the tourism sector and to e-commerce.

Find out more about Semantic Search here and drop us a line to learn more.


Application of Semantic Search to e-commerce

Austria In Pictures – a first demo built using Jina AI.

The backend of the new platform

The backend of the platform is being developed by RedLink, on state-of-the-art technologies.

The services are issued within a cloud microservice architecture which makes the platform scalable, and the data that today are published with WordLift is hosted on Microsoft Azure.

It will provide specific services and endpoints for the text analysis (Named Entity Recognition and Linking) data management (public and private knowledge graphs and schema, data publication), search (full text indexing) and conversation (natural language understanding, question answering, voice conversation) for its users.

GraphQL was selected to facilitate access to data in the Knowledge Graph by developers. Tools for interoperability between GraphQL and SPARQL were also tested and developed.

Data curation and Validation

An essential phase of the project is the collection of requirements and state of the art analysis in order to guarantee a perfectly functioning and functional product. 

The requirements for WordLift NG were developed by SLT, the partner network and STI.

The results of the research activities are aimed at:

  • enhancement of content analysis – read more about this here
  • analysis of the methodologies for the identification of similar entities (in order to allow, on the basis of the analysis of the pages in the SERP, the creation or optimization of relevant content already present in the Knowledge Graph)
  • the algorithms for data enrichment in the Knowledge Graph and reconciliation with data from different sources

On this front, the Consortium is currently working on the definition for SD verification and validation of Schema markup.

This phase will ensure all statements are:

  • Semantically correct
  • Corresponding to real world entities (annotations must comply with content present and validated on the web)

and that annotations are compliant with given Schema definitions (correct usage of schema.org vocabulary).

Community Engagement

Part of the project is the beta testing and the presentation of the platform to WordLift’s existing customers.

We’d be thrilled to share our findings on structured data with the SEO community and to contribute to the definition of the future of structured data alongside Google and Bing.

WordLift is an official member of the DBPedia community and will actively contribute to DBpedia Global. Find out more here.

If you’re willing to know more about it, and to be included in the testing of the new features contact us or subscribe to our newsletter!

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