Industry

PoolParty Semantic Integrator (https://www.poolparty.biz/) is a world-class semantic technology suite for organizing, enriching, and searching knowledge, which is available on the market for more than 10 years.

​The collection of digitized historical newspapers of the National Library of the Netherlands contains an abundance of information about events, persons, concepts etc. As part of our effort to automatically extract this information from the unstructured text we are developing methods to recognize named entities and link them to external knowledge bases such as DBpedia and Wikidata.

We are continuously working on further increasing the accuracy of the links by exploring new machine learning algorithms and adding new features. Our current focus is on identifying and incorporating features that may play a role in human entity linking, and on applying word and entity embeddings, as we expect these representations to be a valuable addition to our existing, mostly handcrafted features.

Springer Nature SciGraph is a new Linked Open Data platform that aggregates and interlinks various data sources from the scholarly domain. It is part of Springer Nature’s longstanding commitment to advance discovery by publishing robust and insightful research, supporting the development of new areas of knowledge, making ideas and information accessible around the world, and leading the way on open access.

Constructing and evolving a knowledge graph about the recruitment and labour market domain is a big challenge not only because the domain is quite broad but also because it is very heterogeneous (different industries and business areas, languages, labour markets, educational systems etc.) and changes in a very fast pace.

The police in the UK are in a process of transformation both in their services and technology.  Part of this transformation includes prioritising their role in public protection and safeguarding.  There is intense pressure from the government and the public to ensure that the police do all they can to intervene before early indications of vulnerability escalate into serious harm and/or low leve

This presentation describes the issues that led to the creation and setup of a terminology service, the datasets used to provide the information to users, and how the datasets are linked together. The challenges and lessons learnt of the project will also be discussed. We will show what is presented to a user and the benefits they receive. Future developments will also be discussed.
The presentation will begin with a description of Healthdirect, our mission, and the services we provide. We began using PoolParty several years ago to manage a health thesaurus. The thesaurus is used to classify content to improve the search experience of a user, by providing the user with more semantically relevant search results. We discovered, through user research, that many users were searching for medicines information that we did not have. Our solution was to identify relevant and authoritative Australian medicine sources, ingest the data in RDF format into a terminology service, map the relevant relationships, and then aggregate the information to display to a user. It has extended the use of the health thesaurus which we manage in PoolParty and made it more integral as a linked data source, not just as a tool to facilitate search.

This talk discusses how companies can apply semantic technologies to build cognitive applications. It examines the role of semantic technologies within the larger Artificial Intelligence (AI) technology ecosystem, with the aim of raising awareness of different solution approaches.

This presentation builds on the success achieved with SAREF - winner of the best vocabulary award at SEMANTiCS2016 - a vocabulary developed in close interaction the industry and with the support of the European Commission. SAREF is standardized by ETSI (TS 103 264) and provides an important contribution to achieve semantic interoperability in the IoT.

The choice of the right vocabularies, and in some cases, the creation of a domain specific vocabulary, is an important part of the publishing process of Linked Data.

We created a RDF ontology for the telecom domain to support broader AI activities like enabling a chatbot system for customer support. The ontology creation process is semi-automatically. The general layout, the entities and edges, are defined by domain experts. The first input is then collected by mirroring the website structure of a customer help portal.