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Ontology Editor

Semaphore Ontology Editor takes the mystery out of building a taxonomy or ontology and lets you focus on building a model that precisely reflects your organization

At Smartlogic we understand innovation - that’s why we created Semaphore Ontology Editor; an easy to use web-based platform, powered by semantic technologies, to deliver game changing results.

Semaphore has been architected to fully harness the power of Semantic Web standards and integrates with content management systems, workflow engines, new generation databases, business applications and search platforms to maximize your enterprise technology investment

With Ontology Editor you get:

  • A feature rich ontology management platform that lets users model the concepts, topics, products, organizational structures and relationships that are uniquely important to their organization and industry.
  • A web-based interface that supports collaboration across the enterprise. Models can be accessed anytime, from anywhere and model building can be decentralized.
  • Ontology mapping and Linked Open Data - the ability to link internal models and leverage public domain models through Linked Open Data standards allows organizations to leverage their own knowledge as well as the accumulated knowledge in most every problem domain.
  • Task centric models that drive workflow & life-cycle management. Model changes are task-centric to drive workflows and improve feedback loops that mimic the way teams work. Information governance policies can be applied to model changes where model managers review and approve modifications before committing them to production.

Modelling what is important to your organization – the entities, concepts, topics and relationships among them – creates a complete picture of the information that organizations use to gain insight, drive business processes, govern information, and create new revenue streams.

Jump-start model development with Text Miner

Semaphore Text Miner helps you jump-start the model building process by analyzing content and identifying the language and vocabulary of your organization.

Using complex noun phrase and entity extraction algorithms, Text Miner analyzes a single or group of information assets and presents you with potential concepts and phrases to be included in the model.

Text Miner gives you:

  • Increased productivity - model building time is reduced
  • Improves rule-based classification accuracy - your model reflects your content
  • Simple to use graphical user interface (GUI) – no coding
  • Counts and frequencies of the concepts found within your content – you can see how important the concept is to your organization and make decisions about whether it should be included in the model.
  • A display to view each concept in its original context

The mined content is then used to build a model for review using the actual vocabulary used by the business. Building a classification model in this way improves acceptance by subject matter experts and reduces taxonomy development time.

Drive model review with Ontology Review Tool

With Ontology Review Tool subject matter experts and stakeholders within the enterprise can participate in the model building process to ensure the model accurately reflects the business domain and current use case.

Using Ontology Editor’s simple interface, model developers can:

  • Quickly share a link to the model to subject matter experts and reviewers
  • Provide instructions about feedback and review ending dates
  • View comments individually or en mass
  • Approve, decline or resolve comments using a simple user interface

Reviewers can visually browse the model and search for specific concepts using the visualizer tab. Each bubble represents a concept and users can drill into a concept to see narrower concepts and relationships or drill up to review broader concepts and relationships.

Semaphore’s Ontology Review Tool incorporates subject matter experts and stakeholders throughout the organization into the model building process in an iterative and agile way. This improves model acceptance so that you can immediately put your model to work in the enterprise.

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