Difference between revisions of "Services"

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== Information architecture, terminology, Linked Data: design and implementation in SharePoint ==
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==SharePoint/Office 365==
Our team is specialised in supporting you to find the optimal information architecture of your SharePoint installation. We identify and implement suitable terminologies/taxonomies. We provide you with SharePoint-ready versions of industry-specific vocabularies/terminologies. [[Terminology_and_information_architecture_services|...read more]]
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Our team works with the most recent SharePoint- and Microsoft Office-knowhow, in order to realize your requirements optimally - for a fixed price. Our offerings:
== SharePoint Consulting and Solution Development ==
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*Sharepoint Apps and Add-ins
Our team works with the most recent SharePoint- and Office-Knowhow, in order to realize your requirements optimally. [[SharePoint_Services|...read more]]
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*Sharepoint webparts
== Custom Development for MediaWiki and DataWiki ==
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*Custom development in SharePoint using the .NET Framework
The DIQA team has profound expertise in customizing and deploying MediaWiki and DataWiki in enterprises. We realize knowledge portals of any kind. [[Services_MediaWiki_and_DataWiki|...read more]]
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== Semantic Web Technologies: Consulting, Custom Development, Training ==
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==Machine Learning==
Semantic technologies will bring strategic benefits to your business. Together, we can identify and realize opportunities to increase your productivity and efficiency. Our offerings range from strategic consultancy, roll out of semantic tools to custom solution development [[Services Semantic Web Technology|..read more]]
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We employ Machine Learning methods to analyse written text for aspects like:
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* Text classification: assigning tags to documents
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* Language: identification of the document language
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* Sentiment analysis: identify emotions
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* Topic analysis: identify what a sentence or text is talking about
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* Text extraction: identify important data in text like companies, products, keywords
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* Entity recognition: identify entities, like people, locations, in text.
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* Clustering: identify segments of similar documents in a vast corpus
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We use open source tools, like TensorFlow, Keras, and Microsoft AI tools.
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==MediaWiki==
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The DIQA team has profound expertise in customizing and deploying MediaWiki and Semantic MediaWiki in enterprises. Our offerings:
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*Strategic consultancy regarding employing MediaWiki, Semantic MediaWiki or DataWiki.
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*Installation, test and operation of portals (on premise or in the cloud)
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*Selection of suitable extensions (e.g. WYSIWYG extension, facetted search)
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*Integration of ontologies and taxonomies
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Example projects that we have done for our customers:
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*Access control for MediaWiki: introduced a content and action level access control system into a corporate wiki.
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*Reporting tool: provided a click and point reporting tool for end-users to generate reports on a highly customized MediaWiki installation that contains production process data.
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*WYSIWYG: introduced a WYSIWYG editor into a MediaWiki installation.
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*2nd Level Support: we provide various international customers with 2nd level support to operate their corporate MediaWiki installation.
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*Configuration and Setup: for various international customers we have installed MediaWiki and compatible extensions to operate a corporate knowledge base.
  
 
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Revision as of 17:35, 25 June 2020

Main Page > Services

Professional services from DIQA

SharePoint/Office 365

Our team works with the most recent SharePoint- and Microsoft Office-knowhow, in order to realize your requirements optimally - for a fixed price. Our offerings:

  • Sharepoint Apps and Add-ins
  • Sharepoint webparts
  • Custom development in SharePoint using the .NET Framework

Machine Learning

We employ Machine Learning methods to analyse written text for aspects like:

  • Text classification: assigning tags to documents
  • Language: identification of the document language
  • Sentiment analysis: identify emotions
  • Topic analysis: identify what a sentence or text is talking about
  • Text extraction: identify important data in text like companies, products, keywords
  • Entity recognition: identify entities, like people, locations, in text.
  • Clustering: identify segments of similar documents in a vast corpus

We use open source tools, like TensorFlow, Keras, and Microsoft AI tools.

MediaWiki

The DIQA team has profound expertise in customizing and deploying MediaWiki and Semantic MediaWiki in enterprises. Our offerings:

  • Strategic consultancy regarding employing MediaWiki, Semantic MediaWiki or DataWiki.
  • Installation, test and operation of portals (on premise or in the cloud)
  • Selection of suitable extensions (e.g. WYSIWYG extension, facetted search)
  • Integration of ontologies and taxonomies

Example projects that we have done for our customers:

  • Access control for MediaWiki: introduced a content and action level access control system into a corporate wiki.
  • Reporting tool: provided a click and point reporting tool for end-users to generate reports on a highly customized MediaWiki installation that contains production process data.
  • WYSIWYG: introduced a WYSIWYG editor into a MediaWiki installation.
  • 2nd Level Support: we provide various international customers with 2nd level support to operate their corporate MediaWiki installation.
  • Configuration and Setup: for various international customers we have installed MediaWiki and compatible extensions to operate a corporate knowledge base.
What customers say
"The workshop helped us to better understand our requirements and to learn about the technological options."
contact
Daniel Hansch
Dipl.-Wirtsch.-Inf.
Daniel Hansch
Machine Learning expert, software engineer, project manager
Tel.: +49-176 64078339
[email protected]