computer science

Sigma knowledge engineering environment

Sigma knowledge engineering environment is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Sigma knowledge engineering environment rather than just read about it. In short: In the computer science fields of knowledge engineering and ontology, the Sigma knowledge engineering environment (SigmaKEE) is an open source computer program for the development of formal ontologies. It is designed for use with the Suggested Upper Merged Ontology.

Key takeaways

Sigma knowledge engineering environment belongs to computer science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Sigma knowledge engineering environment to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Sigma knowledge engineering environment from memory before moving on to harder problems.

Reference excerpt

In the computer science fields of knowledge engineering and ontology, the Sigma knowledge engineering environment (SigmaKEE) is an open source computer program for the development of formal ontologies. It is designed for use with the Suggested Upper Merged Ontology. It originally included only the Vampire theorem prover as its core deductive inference engine, but now allows use of many other provers that have participated in the CASC/CADE competitions.

Overview

SigmaKEE is viewed as an integrated development environment for ontologies. The user's typical workflow consists of writing the theory content in a text editor and then debugging it using the SigmaKEE's tools. It is written in Java and uses JSP for its web-based user interface. The interface allows the user to make queries and statements in SUO-KIF format and shows proof results with hyperlinks. For each step in the proof, SigmaKEE either points out that it is an assertion in the knowledge base or shows how the step follows from the previous steps using the rules of inference. The interface allows one to browse the theory content with hyperlinks and presents hierarchies in a tree-like structure. It also allows browsing WordNet and Open Multilingual WordNet. SigmaKEE supports THF, TPTP, SUO-KIF, OWL and Prolog formats and is able to translate theories between these formats. The theorem prover E, which supports TPTP standards for input and output, is integrated into SigmaKEE. It provides the e_ltb_runner control program which runs in an interactive mode. This program receives queries and applies relevance filters. It then runs multiple instances of E which search for an answer to the queries. If one of the instances finds the proof, all other instances are stopped and e_ltb_runner returns the answer to the SigmaKEE's backend.

References

External links Sigma web site TPTP/CADE

Worked examples

Example 1 — a first encounter with Sigma knowledge engineering environment

Start with the simplest possible case. Write down what Sigma knowledge engineering environment claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Sigma knowledge engineering environment before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Sigma knowledge engineering environment ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Sigma knowledge engineering environment

In research: Sigma knowledge engineering environment appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Sigma knowledge engineering environment in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Sigma knowledge engineering environment is common in secondary-school and first-year university syllabi. It links to neighbouring topics Free software programmed in Java, Ontology (information science), Software using the GNU General Public License, so understanding it makes those chapters shorter.
In everyday life: Look for Sigma knowledge engineering environment outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Sigma knowledge engineering environment in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Sigma knowledge engineering environment means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Sigma knowledge engineering environment out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Sigma knowledge engineering environment in simple terms?

Why does Sigma knowledge engineering environment matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Sigma knowledge engineering environment?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Sigma knowledge engineering environment.