Web Ontology Language Toolkit

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Perform tasks to contribute to developing and testing new informatics tools and resources to enhance clinical and translational research and improve the efficiency and integration of your research support services.

More Uses of the Web Ontology Language Toolkit:

  • Guide: review existing taxonomies and Metadata schemas.

  • Orchestrate: research foundation employee.

  • Ensure you realize; lead the development of Enterprise knowledge ontology and taxonomy consulting deliverables.

  • Ensure you anticipate; lead with expertise in Database Design and database optimization.

  • Audit: ontology and taxonomy consulting.

  • Lead working on specific projects in the Informatics Core.


Save time, empower your teams and effectively upgrade your processes with access to this practical Web Ontology Language Toolkit and guide. Address common challenges with best-practice templates, step-by-step Work Plans and maturity diagnostics for any Web Ontology Language related project.

Download the Toolkit and in Three Steps you will be guided from idea to implementation results.

The Toolkit contains the following practical and powerful enablers with new and updated Web Ontology Language specific requirements:

STEP 1: Get your bearings

Start with...

  • The latest quick edition of the Web Ontology Language Self Assessment book in PDF containing 49 requirements to perform a quickscan, get an overview and share with stakeholders.

Organized in a Data Driven improvement cycle RDMAICS (Recognize, Define, Measure, Analyze, Improve, Control and Sustain), check the…

  • Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation

Then find your goals...

STEP 2: Set concrete goals, tasks, dates and numbers you can track

Featuring 999 new and updated case-based questions, organized into seven core areas of Process Design, this Self-Assessment will help you identify areas in which Web Ontology Language improvements can be made.

Examples; 10 of the 999 standard requirements:

  1. This next wave of data ubiquity will present you with substantial research challenges. How do you effectively query huge numbers of decentralized information repositories of varying scales?

  2. The repositories using the Ontology as conceptual model for RDF datasets, should have the ability of answering questions like: What is the relationship between an Object and another?

  3. An ontology-based approach should enable the investigator to give the system a query in his language, for instance; does the director of this organization have previous convictions?

  4. Query mechanisms range from simple templates to full-blown query languages. Is there a one-size-fits-all solution, or are there different solutions for different cases?

  5. Significant properties: are significant properties actually globally true features of the object, or are they assigned by different preservation policies?

  6. Which instances of a data source suffer from Data Quality problems according to predefined Data Quality requirements?

  7. Are structural case-based reasoning and ontology-based Knowledge Management a perfect match in your organization?

  8. How are the constraints modeled in your schema? For instance; does a motorcycle have 1, 2, 3, 4 or more wheels?

  9. Given a set of data and a quantitative attribute, how do you characterize the distribution of that attribute?

  10. Can it provide answers to questions like: which field data of Field_Data_of_P_V_1 was recorded in June 2008?

Complete the self assessment, on your own or with a team in a workshop setting. Use the workbook together with the self assessment requirements spreadsheet:

  • The workbook is the latest in-depth complete edition of the Web Ontology Language book in PDF containing 999 requirements, which criteria correspond to the criteria in...

Your Web Ontology Language self-assessment dashboard which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next:

  • The Self-Assessment Excel Dashboard; with the Web Ontology Language Self-Assessment and Scorecard you will develop a clear picture of which Web Ontology Language areas need attention, which requirements you should focus on and who will be responsible for them:

    • Shows your organization instant insight in areas for improvement: Auto generates reports, radar chart for maturity assessment, insights per process and participant and bespoke, ready to use, RACI Matrix
    • Gives you a professional Dashboard to guide and perform a thorough Web Ontology Language Self-Assessment
    • Is secure: Ensures offline Data Protection of your Self-Assessment results
    • Dynamically prioritized projects-ready RACI Matrix shows your organization exactly what to do next:


STEP 3: Implement, Track, follow up and revise strategy

The outcomes of STEP 2, the self assessment, are the inputs for STEP 3; Start and manage Web Ontology Language projects with the 62 implementation resources:

  • 62 step-by-step Web Ontology Language Project Management Form Templates covering over 1500 Web Ontology Language project requirements and success criteria:

Examples; 10 of the check box criteria:

  1. Procurement Audit: What are your Procurement Processes with contractors?

  2. Cost Baseline: Does a process exist for establishing a cost baseline to measure Web Ontology Language project performance?

  3. Requirements Management Plan: How knowledgeable is the team in the proposed application area?

  4. Probability and Impact Matrix: During Web Ontology Language project executing, a team member identifies a risk that is not in the Risk Register. What should you do?

  5. Executing Process Group: What areas does the group agree are the biggest success on the Web Ontology Language project?

  6. WBS Dictionary: Is authorization of budgets in excess of the contract budget base controlled formally and done with the full knowledge and recognition of the procuring activity?

  7. Formal Acceptance: Do you buy pre-configured systems or build your own configuration?

  8. Cost Management Plan: Progress measurement and control – How will the Web Ontology Language project measure and control progress?

  9. Variance Analysis: How do you evaluate the impact of schedule changes, work around, et?

  10. Procurement Audit: Did the conditions included in the contract protect the risk of non-performance by the supplier and were there no conflicting provisions?

Step-by-step and complete Web Ontology Language Project Management Forms and Templates including check box criteria and templates.

1.0 Initiating Process Group:

  • 1.1 Web Ontology Language project Charter
  • 1.2 Stakeholder Register
  • 1.3 Stakeholder Analysis Matrix

2.0 Planning Process Group:

3.0 Executing Process Group:

  • 3.1 Team Member Status Report
  • 3.2 Change Request
  • 3.3 Change Log
  • 3.4 Decision Log
  • 3.5 Quality Audit
  • 3.6 Team Directory
  • 3.7 Team Operating Agreement
  • 3.8 Team Performance Assessment
  • 3.9 Team Member Performance Assessment
  • 3.10 Issue Log

4.0 Monitoring and Controlling Process Group:

  • 4.1 Web Ontology Language project Performance Report
  • 4.2 Variance Analysis
  • 4.3 Earned Value Status
  • 4.4 Risk Audit
  • 4.5 Contractor Status Report
  • 4.6 Formal Acceptance

5.0 Closing Process Group:

  • 5.1 Procurement Audit
  • 5.2 Contract Close-Out
  • 5.3 Web Ontology Language project or Phase Close-Out
  • 5.4 Lessons Learned



With this Three Step process you will have all the tools you need for any Web Ontology Language project with this in-depth Web Ontology Language Toolkit.

In using the Toolkit you will be better able to:

  • Diagnose Web Ontology Language projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices
  • Implement evidence-based best practice strategies aligned with overall goals
  • Integrate recent advances in Web Ontology Language and put Process Design strategies into practice according to best practice guidelines

Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable role; In EVERY company, organization and department.

Unless you are talking a one-time, single-use project within a business, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?'

This Toolkit empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Web Ontology Language investments work better.

This Web Ontology Language All-Inclusive Toolkit enables You to be that person.


Includes lifetime updates

Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.