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Data, Databases and Deeds: A SPARQL Query to the Rescue

Ontotext

In this article you will read why and how SPARQL queries make for a better search and are of immense help when it comes to accessing all the independently designed and maintained datasets across an organization (and outside it) in an integrated way. Data, Databases and Deeds: A SPARQL Query to the Rescue.

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Data, Databases and Deeds: A SPARQL Query to the Rescue

Ontotext

quintillion bytes of data created each day, the bar for enterprise knowledge and information systems, and especially for their search functions and capabilities, is raised high. One such way towards better search (and better informed actions) is the SPARQL query. Think of all the databases an organization is operating with.

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From Disparate Data to Visualized Knowledge Part III: The Outsider Perspective

Ontotext

In our previous blog posts of the series, we talked about how to ingest data from different sources into GraphDB , validate it and infer new knowledge from the extant facts as well as how to adapt and scale our basic solution. And the LAZY system from our previous blog posts is at the threshold of that important step.

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RDF-Star: Metadata Complexity Simplified

Ontotext

Relational databases (RDBS) have been the workhorse of ICT for decades. Being able to sit down and define a complete schema, a blueprint of the database, gave everyone assurity and consistency. Graph Databases vs Relational Databases. Sure, you have to ignore the edge cases and hope that they stay edge cases.

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GraphDB Users Ask: Does GraphDB Support Reusing Values in Sub-selects?

Ontotext

We are going to go down the rabbit hole of advanced SPARQL. Suppose you have a database of movies. In that database, you also have data on the actors. So, you may think of a query such as: “Return the four top-grossing movies, and then return the two highest actors for each movie.”. appeared first on Ontotext.

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GraphDB Users Ask: How Can I Break Up My Data to Control Access To It?

Ontotext

Data in GraphDB is stored in repositories. You can think about them as you would think about separate databases. You can use SPARQL federation to access data across repositories. We offer a default internal user database, but can also cover users coming from LDAP, OAuth, Kerberos, OpenID. How about write access?

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GraphDB Users Ask: Can GraphDB Infer Data Based on Values From a Virtualized Repository?

Ontotext

ONTOTEXT ANSWER: The answer to this question loops back to one of our previous posts – GraphDB is a forward chaining database. This means that inferred statements are changed – inserted or removed – during data updates. No data is ingested for these repositories. At no point do they store the triples.