Ontotext Testimonials

"The training is overall very helpful to get me familiar with GraphDB quickly. The training can help me understand important semantic web and ontology concepts and knowledge, and understand how to utilize and implement the knowledge in GraphDB. The two pre-webinar training introduces semantic web knowledge and then gave me the chance to tackle 12 exercises to get familiar with the learned knowledge. The pre-training helps build a solid foundation for using GraphDB and the webinar. The webinar is very good to introduce OntoRefine for batch generating triples to be inserted into GraphDB, and query the data to get insight. Then an exercise is asking the participants to carry out a similar task. The webinar is overall helpful to get me started with real world tasks. I think that a justification of why to use OntoRefine would be good. It would be helpful to cover other real world tasks for inserting and updating data. Are there other tools for doing these tasks? I would also like to know how to maintain the data consistency and integrity, how to find and deal with bad or inconsistent data, and how to measure the quality of data etc. An introduction to connectors would also be helpful. Overall, many thanks for your training!"

"In 2013, Euromoney Institutional Investor PLC, the international online information and events group and its subsidiary, BCA Research, set out to create a new publishing and information platform which would include the latest authoring, storing, and display technologies including semantic search and a triple store repository. Following a successful proof of concept using the OWLIM (now GraphDB) semantic repository and KIM text extraction (which is using GATE), Euromoney commissioned Ontotext to create a semantic database for both their macroeconomic investment research reports and their more market oriented content, like merger and acquisition deals news, IPOs, Equity prospects, Bonds issuance, etc."