View the Project on GitHub istavrak/vocab-recommender

Approach to leverage Websites to APIs through Semantics

The transformation of Websites to APIs refers to the steps needed to leverage the Web content to self-defined data structures that can be consumed by machines and Web agents, called semantic annotations. Cornerstone requirement for this to happen is the incorporation of the correct vocabulary terms in a website. The presented approach addresses this challenge by helping to identify the most appropriate set of Linked Open Vocabulary terms for a given Web content context by leveraging the existing dynamics within the LOV graph and the LOD cloud.

Vocabulary discovery assistant UI

A user interface (UI) has been added to the vocab-recommender which makes it easier to submit queries to the backend API. A link has been added to the main project page of vocab-recommender.

Read More - December 25, 2016

SEMANTiCS 2016 Demo/Poster Paper accepted!

An implementation details overview of the underlying LOVR methodology of the vocab-recommender framework has been accepted as a demo/poster paper, under the title Towards a Vocabulary Terms Discovery Assistant, that was submitted to the SEMANTiCS 2016 conference that will take place in Leipzig in September.

Read More - August 5, 2016

Vocab-recommender v1

The first working version of the framework is out and supports the extraction and recommendation of static HTML parts (i.e. images, etc.).

Read More - March 15, 2016

PhD teaser video

A short video has been published on YouTube to explain in 2’ the idea behind the vocab-recommender project, which consists my PhD topic. Check it here!

Read More - October 31, 2015