2014 06-15 overview kamala knowledge platform
DESCRIPTION
Kamala is a knowledge platform for organizations and people to link their data and share their knowledge. This presentation gives an overview of the platform for Online Knowledge Sharing and Collaboration, with Semantic Search and smart suggestions, Annotation Bookmarker tool. All is driven by the knowledge model. Introduction of the Schema editor: editor the users can quickly add fields and relations to an important category categories such as: laws, cases and courts in legal publishing; terms, meanings in a thesaurus; and products, employees, organizations, projects, partnerships in manufacturer/service-provider companiesTRANSCRIPT
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Kamala: Grip on Knowledge and Semantics Knowledge in the Cloud
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Online Knowledge Collaboration Platform
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Kamala is a knowledge platform for organizations and people to link their data and share their knowledge.
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Knowledge driven
Everything in the platform is driven by the knowledge model. ▫It offers smart suggestions and semantic search▫If the model changes your application(s) might change▫Make annotations and share them▫Online collaboration with validations :
Ensure that the model stays stable Powerfull reuse
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Knowledge Integration
Morpheus Kennistechnologie BV has integrated Kamala in several projects with amongst others: Drupal, Liferay, Natural Language Tools, CRM-systemsLinkeddata and open data Based on International ISO standard and this makes it easy to build multi-language applications
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Reasons to use Kamala
Our customers chose Kamala in projects:▫Analyzing big data (Police and Security) and Empower
data with formal knowledge models and visualizations▫Prevent knowledge loss through aging▫Knowledge discovery▫Develop Knowledge Platform to support knowledge
workers in their process, to share knowledge Give new employees tools to find and learn the new
material quicker▫ Better decisions with better knowledge
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Dashboard
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Semantic Models
Everything in Kamala driven by a semantic model of:▫Concepts (Morpheus, the Netherlands, etc…)▫Types (Company, Country, etc…)▫Relations (Morpheus is founded in Maastricht)▫Relation types (Employment, Father-Son)
Europe
The Netherlands
Maastricht
Morpheus
Gabriel Hopmans Peter-Paul Kruijsen
Father
Grandfather
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Visualization: Knowledge Graph
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Knowledge driven
If the user adds something to a relation, the model checks what is allowed and offers smart suggestionsSee our movies (youtube: kamala, semantic)https://www.youtube.com/watch?v=xkCRe1IpFosWith schema and validations we keep the model consistent
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Validation
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Schema Editor
With this editor the users can quickly add fields and relations to an important category categories such as:▫ laws, cases and courts in legal publishing; ▫terms, meanings in a thesaurus; ▫and products, employees, organizations, projects,
partnerships in manufacturer/service-provider companies
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Schema Editor
Add relations or fields and check with smart suggestions
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Share your topic maps
You can share your topic map with other users▫Collaborate on a shared model▫Share your knowledge
Currently supports read-only and write-access▫Future work includes multiple authorization levels
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Querying
Query your topic map with▫Tolog
Logical language based on SQL+Prolog▫TMQL
Standardized query language for Topic Maps
Reuse your queries by saving them in Kamala
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Queries
Queries can also be placed on Dashboard for management reports
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Extras in KamalaBut wait, there is more
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Kamala add-ons and services
In the previous slides you saw functionalities that you see and get with the free edition and the next slides contain add-ons and services that you find in the standard, business or enterprise workspaceSee http://kamala-cloud.com/editions/Import and export of different formatsAnd Rest Webservices
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Kamala Bookmarker
Quickly log a subject found on any page on the web into a topic map▫Open the bookmarker while on any webpage▫Either create a topic for the page,▫Or see what you already know about the page
And add new information to your topic
Works based on the page URLSee http://welike2know.com/howto/
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Multi language application and bookmarker
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1:? 2: start bookmarker
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Grouping: define own categories
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Semantic filtering
Set your own filters▫Based on topic types and their possible characteristics
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Geo tagging
Geo-tag your topics when they represent a locationShow them on a map when used with semantic filtering
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Advanced templates
Define how your topics should look within Kamala
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Bundles
Ready-to-use ontologies▫CRM▫Thesaurus▫Law documents▫Etc
Reusable parts available on request▫Dublin Core▫Often used types
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Thank you!Thank you for your interest in Kamala. Keep up to date on new features at kamala-cloud.com
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