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Semasphere - Mapping Meaning on Data

Develops technologies and applications to identify meaningful and valuable information in large volumes of data by extensively using domain and expert knowledge in the data analysis process. Our approach is based on the premise that deriving information which has meaning and value from large data collections strongly depends on the ability to use the semantics of the domain and on heeding the utilities and priorities perceived by the ultimate consumer of that information. Last modified:14 January, 2013.

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Semasphere - Mapping Meaning on Data | semasphere.com Reviews

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Develops technologies and applications to identify meaningful and valuable information in large volumes of data by extensively using domain and expert knowledge in the data analysis process. Our approach is based on the premise that deriving information which has meaning and value from large data collections strongly depends on the ability to use the semantics of the domain and on heeding the utilities and priorities perceived by the ultimate consumer of that information. Last modified:14 January, 2013.

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1 what we do

2 current objectives

3 innovation

4 partnering

5 opportunities

6 technology

7 challenges

8 framework

9 user

10 interaction

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Semasphere - Mapping Meaning on Data | semasphere.com Reviews

https://semasphere.com

Develops technologies and applications to identify meaningful and valuable information in large volumes of data by extensively using domain and expert knowledge in the data analysis process. Our approach is based on the premise that deriving information which has meaning and value from large data collections strongly depends on the ability to use the semantics of the domain and on heeding the utilities and priorities perceived by the ultimate consumer of that information. Last modified:14 January, 2013.

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semasphere.com

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Semasphere - User Interaction

http://www.semasphere.com/user_interaction.html

Proximity to the conceptual framework of the problem domain. To increase its effectiveness, EFAR technology relies on two key elements in the interaction between the user and the platform: the ability to use domain knowledge and expertise to guide the analysis process. And the ability to rapidly understand the meaning of data by translating it into the semantics of the problem domain. Equally important in guiding the EFAR data analysis process is a technology component called compiled visualisation.

2

Semasphere - Challenges

http://www.semasphere.com/challenges.html

Technology targets problem domains where the goals are to uncover novel information in large volumes of data. Or to confirm the presence of complex phenomena and behaviours through information extracted from such data. We distinguish such problems from challenges consisting simply in detecting recurring patterns or correlations in data. Problem domains with increasingly complex search and analysis challenges abound:. Anomalies in the behaviour of technical systems. Are the departure point for analyses wh...

3

Semasphere - Mapping Meaning on Data

http://www.semasphere.com/index.html

Develops technologies and applications to identify meaningful and valuable information in large volumes of data by extensively using domain and expert knowledge in the data analysis process. Our approach is based on the premise that deriving information which has meaning and value from large data collections strongly depends on the ability to use the semantics of the domain and on heeding the utilities and priorities perceived by the ultimate consumer of that information. Last modified:14 January, 2013.

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Semasphere - Data Analytics Process

http://www.semasphere.com/framework.html

THE ROLE OF KNOWLEDGE. Technology aims to support complex data analytics challenges which fit within the wider Explore-Formulate-Assess-Revise (EFAR). Framework. The EFAR approach implements the data analytics process through an iterative cycle of hypothesis formulation, testing and refinement until the hypothesis(es) can be accepted and subsequently used as a valuable new oiece of information or knowledge:. Which provides semantics for the behaviours analysts retrieve and look at in the underlying data.

5

Semasphere - Mapping Meaning on Data

http://www.semasphere.com/solution_development.html

We offer know-how covering a widespectrum of requiremenents, from technological to economical aspects, and from effectiveness and efficiency concerns to human factors aspects. We understand that the problems you are confronted with can span over several dimensions:. We work closely with our customers to scope solutions as closely as possible to the priorities and the areas which play an important role for the final outcome. Last modified:14 January, 2013.

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Semasphere - Mapping Meaning on Data

Develops technologies and applications to identify meaningful and valuable information in large volumes of data by extensively using domain and expert knowledge in the data analysis process. Our approach is based on the premise that deriving information which has meaning and value from large data collections strongly depends on the ability to use the semantics of the domain and on heeding the utilities and priorities perceived by the ultimate consumer of that information. Last modified:14 January, 2013.

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