In this feature, we answer questions from our GraphDB users. Today's question is about the number of repos in GraphDB and accessing the data.
Making Sense of Text and Data
Provide consistent unified access to data across different systems by using the flexible and semantically precise structure of the knowledge graph model
Interlink your organization’s data and content by using knowledge graph powered natural language processing with our Content Management solutions.
Implement a Connected Inventory of enterprise data assets, based on a knowledge graph, to get business insights about the current status and trends, risk and opportunities, based on a holistic interrelated view of all enterprise assets.
Quick and easy discovery in clinical trials, medical coding of patients’ records, advanced drug safety analytics, knowledge graph powered drug discovery, regulatory intelligence and many more
Make better sense of enterprise data and assets for competitive investment market intelligence, efficient connected inventory management, enhanced regulatory compliance and more
Connect and model industry systems and processes for deeper data-driven insights in:
Improve engagement, discoverability and personalized recommendations for Financial and Business Media, Market Intelligence and Investment Information Agencies, Science, Technology and Medicine Publishers, etc.
Unlock the potential for new intelligent public services and applications for Government, Defence Intelligence, etc.
Connect and improve the insights from your customer, product, delivery, and location data. Gain a deeper understanding of the relationships between products and your consumers’ intent.
Link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs.
Organize your information and documents into enterprise knowledge graphs and make your data management and analytics work in synergy.
Integrate and evaluate any text analysis service on the market against your own ground truth data in a user friendly way.
Turn strings to things with Ontotext’s free application for automating the conversion of messy string data into a knowledge graph.
GraphDB Q&As
TESTED ON: GraphDB 9.9
Security automation is a fairly frequent task and forgetting an important password is an inevitability of life. Fortunately, both problems are really easy to solve using the default GraphDB security module.
Security is controlled by the file settings.js., located under ./work/workbench in your GraphDB home directory. By default, this would be the root GraphDB installation directory. The file gets created when you first run GraphDB. It is JSON-formatted. Besides the security module, it contains other useful information such as user queries, configured locations, etc. Given how important this file is, we strongly recommend making sure it’s backed up. You’ll have to do it manually, as GraphDB backups are done per-repository and this is a global per-installation file. If you are deploying with Docker, it’s a good idea to keep that file in a volume.
Passwords are hashed using bcrypt. So, if you’ve somehow lost your only administrator password, the easiest way to fix that is to simply set it again.
"password" : "{bcrypt}$2a$10$L6v7FUcxBIE2N.hbdXahk.iA.kGcW5/t.kr0uzvrOyCQY1iRwjMJm",
This would set your password to the default value, `root`. If you have deleted your administration users, you can simply write up a new one, for example, by copying it from a working default GraphDB installation.
As for automation, everything in the ”settings.js” file can be configured with an API call. So, it’s up to you to do one of the following:
For our own deployments, we favor storing and deploying the settings.js file, usually as a Docker volume. We sometimes do API calls as well.
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In this feature, we answer questions from our GraphDB users. Today's question is about the number of repos in GraphDB and accessing the data.
Learn how to choose the GraphDB edition most suited for your smart data prototypes.
Learn about the steps you need to migrate your data to GraphDB to use it as a smart brain on top of your legacy systems.
In this feature, we answer questions from our GraphDB users. Today's question is about the number of repos in GraphDB and accessing the data.
Learn how to choose the GraphDB edition most suited for your smart data prototypes.
Learn about the steps you need to migrate your data to GraphDB to use it as a smart brain on top of your legacy systems.
Ontotext answers questions from our GraphDB users. You can also check out the frequently asked questions on general topics about GraphDB. Or you can get quick answers on technical questions from the community as well as Ontotext experts using the graphdb tag on stack overflow.
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