The Linked Data Lexicography for High-End Language Technology (LDL4HELTA) project was started in cooperation between Semantic Web Company (SWC) and K Dictionaries. LDL4HELTA combines lexicography and Language Technology with semantic technologies and Linked (Open) Data mechanisms and technologies. One of the implementation steps of the project is to create a language graph from the dictionary data. Continue reading
More and more Linked Data applications seem to emerge in the business world and software companies make it part of their business plan to integrate Graph Data in their data stories or in their features.
MarkLogic is opening a new wave to how enterprise databases should be used to push over the limits of closed, rigid structures to integrate more data. Neo4j explains how you can enrich existing data and follow new connections and leads for investigations of the Panama Papers.
No wonder the communities in different locations gather to share, exchange and network around topics like Linked Data. In London, a new conference is emerging exactly for this purpose: Connected Data London. The conference sets the stage for industry leaders and early adopters as well as researchers to present their use cases and stories. You can hear talks from multiple domains about how they put Linked Data to a good use: space exploration, financial crime, bioinformatics, publishing and more.
The conference will close with an interesting panel discussion about “How to build a Connected Data capability in your organization.” You can hear from the specialists how this task is approached. And immediately after acquiring the know-how you will need a easy-to-use and easy-to-integrate software to help with your Knowledge Model creation and maintenance as well as Text Mining and Concept Annotating.
In our dedicated slot we present how a Connected Data Application is born from a Knowledge Model and which are the steps to get there.
Connected Data London – London, 12th July, Holiday Inn Mayfair
As an open data fan or as someone who is just looking to learn how to publish data on the Web and distribute it through the Semantic Web you will be facing the question “How to describe the dataset that I want to publish?” The same question is asked also by people who apply for a publicly funded project at the European Commission and want to have a Data Management plan. Next we are going to discuss possibilities which help describe the dataset to be published. Continue reading