Aug 24 2016
World-leading archive uses GraphDB to build a machine learning assisted knowledge management platform.
The Institution of Engineering and Technology (IET), a publisher of widely respected publications and information services for engineers and technicians, has chosen Ontotext’s GraphDB to help it improve text indexing and discoverability in its Inspec database.
With Ontotext’s powerful graph database tool, the IET is continuing its reputation for innovative excellence by applying semantic technology to its text indexing. This technology promises to improve research access and deliver a superior experience to contributors and users.
The Inspec database contains more than 16 million highly curated and specialised journal articles, conferences and videos relating to engineering and physics research, developed over the last 40 years. As an authority in the engineering world, the IET has accumulated deep expertise in cataloguing the wealth of content it maintains.
Ontotext’s semantic technology will help the IET leverage the knowledge of its staff and improve indexing quality and discoverability in its database, to the benefit of all who use it.
Ontotext’s GraphDB is a semantic graph database tool, enhanced by a ground-breaking AI, which will enable the IET to better understand the content it manages and distributes. More than 550 million authors, subjects, institutions and metadata tags make up the data within the IET’s Inspec database, creating a large amount of interrelated and overlapping data.
We looked at half a dozen solutions and it was clear to us that Ontotext was the best technology partner for our project. With Ontotext’s GraphDB we will be able to conduct an enrichment process to determine and map the entities, concepts and relationships in our published works, allowing us to query our data in a way we have never been able to do before. Our partnership with Ontotext allows the IET to combine its expertise and pair it with technology to build an even richer knowledge base to the significant benefit of ourselves and our customers.
Tim Aitken, Inspec product manager at the IET
The IET looked to Ontotext to deliver artificial intelligence technologies into its database for discovering emerging trends and relationships. This technology gives customers both a deeper understanding of current developments and more value from the data they have contributed so much towards.
Working with an organisation such as The IET is always very exciting as we share the same principles of embracing innovation through cutting-edge technology. We are incredibly excited to explore the possibilities of enriching such a well-regarded and important database of knowledge with semantic technology, and enable the IET to extend its authority and leading position in the world of engineering and research.
Borislav Popov, project manager at Ontotext