They can, for example, be used to discover new patterns in consumer behavior. The scope units may be structural and semantic regions in text documents, numeric data tuples in databases, or speech.

The company’s unique approach to the vast data management sector has been boosted with its adoption of even more enterprise features including complementing, leveraging, and enhancing investments in.

Despite the last-minute nature of the panel, speakers Miles Kehoe, president and co-founder of New Idea Engineering, Avi Rappoport, principal consultant at Search Tools Consulting, and Walter.

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The three-phase delivery schedule looks like this: phase one in the second half of 2014 would provide transactions with ACID semantics in Hive along with. limitations on workload management, for.

For example, if you want to support highly critical banking-like. message queuing, and caching. MarkLogic NoSQL Database is an operational and transactional enterprise database designed for NoSQL.

Some important advances in semantic graph technology have improved the ability. More advanced geospatial technology supports three-dimensional coordinates. As an example of the practical.

But the folks at Cambridge Semantics are finding traction in certain industries. That results in a profound change in the type of questions customers can ask. For example, in the pharmaceutical.

One of the most convincing examples involves transformation, a key facet of data preparation. Non-semantic approaches to this common prerequisite for analytics involve writing code for data. Semantic.

For example, you can dump a whole bunch of articles from AP and. So you start getting in very complex semantic problems of understanding language and understanding context. And while Attensity has.

InfoQ: In your book you explored approaches for dealing with application development that haven’t worked out, examples. Semantic models can be implemented directly on standard compliant graph.

Equally important was that MarkLogic can understand the documents it manages because of a feature called semantics. This enables the database to infer relationships without having them explicitly.

In a recent blog posting I showed how semantic models can be used to take a number of regulatory. It is the summary of what the business does, for example, how it is organised, its income and.

Most examples of algorithms in our daily lives rely on machines. Group Vice President for Global Commercial Sales at enterprise NoSQL platform for big data MarkLogic, who thinks both are rather.

For example, date, author and title can be found even if they are not explicitly tagged on the original page. In this sense, Velocity is creating the equivalent of a Semantic Web in situations where.

OpenText reports its approach to content analytics addresses the discovery of answers to business questions through the use of semantic technologies such. more efficient data mining capability to,

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Enterprise data lakes or warehouse projects, for example, are prone to becoming overgrown and unmanageable. A system that can store data as is – such as Hadoop or MarkLogic – is ideal for this.

MarkLogic offers an alternative to SQL, a semantic technology that Bloom says can understand. "When you use Oracle, for example, you don’t have to worry about security because it is built-in.You.

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For example, if one changes the rules affecting knowledge production, the quality of knowledge claims may improve, or if a KM intervention supplies a new search technology based on semantic analysis.

If users later want to find all the drugs that can be taken after a meal, for example, the search will be impossible if the semantics implied by that query have not been captured. It is the author of.

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A graph model has exactly as much semantic meaning as you want. 2015) This category encompasses databases designed to support different model types. For example, a common possibility is a three-way.