science

Semantic Application Design Language

Semantic Application Design Language is a 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 Semantic Application Design Language rather than just read about it. In short: Semantic Application Design Language (SADL) is an English-like open source language for building formal models composed of an OWL ontology, rules expressed in terms of the ontological concepts, queries for retrieving information from the model, and tests to validate and re-validate model content and entailments (implications). The SADL-IDE is an Eclipse-based integrated development environment(IDE) which facilitates…

Key takeaways

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

Reference excerpt

Semantic Application Design Language (SADL) is an English-like open source language for building formal models composed of an OWL ontology, rules expressed in terms of the ontological concepts, queries for retrieving information from the model, and tests to validate and re-validate model content and entailments (implications). The SADL-IDE is an Eclipse-based integrated development environment(IDE) which facilitates authoring and maintaining models expressed in the SADL language.

Motivation The Semantic Technology stack offers significant potential for knowledge capture and usage in many domains. However, native representations (OWL, SWRL, Jena Rules, SPARQL) are unfriendly to domain experts who are not computer scientists and not knowledgeable in the intricacies of artificial intelligence and formal logic. Furthermore, in the opinion of the creator, the tools available to build, test, maintain, and apply knowledge bases (models) over their life cycle are inadequate. SADL attempts to bridge these gaps.

How SADL attempts to meet the needs identified above in several ways. The SADL grammar tries to use common words to express formal model relationships. These key words and phrases are mapped unambiguously into the formalisms of OWL, SWRL or Jena Rules, and SPARQL. SADL allows statement combinations for more concise and understandable groupings. Examples include listing the properties that "describe" a class as part of the class definition, identifying multiple subclasses in a single statement, chaining triple patterns in rules and queries to eliminate variables and make the overall pattern more readable, listing the attributes and relationships of an instance together with a single subject, and optionally named instances. The SADL-IDE provides templates, content assistance, quick fixes, hyper linking of concepts to their definitions, folding, and other aids to make it easier for domain experts to view and understand, create, and maintain models. The close integration of Eclipse with source code control systems such as CVS, SVN, or GIT allow SADL models to be versioned and more easily managed over their life cycle. The sequential nature of the language makes differences between model versions easy to compute and view. A set of models may be easily tagged as a particular release and retrieved as a compete set at any time. Integration of reasoners/rules engines with the SADL-IDE allows the model developer to exercise the model, query results and create test cases for validation and regression testing.

Sources

References SADL on SourceForge TOWARD A UNIFIED ENGLISH-LIKE REPRESENTATION OF SEMANTIC MODELS, DATA, AND GRAPH PATTERNS FOR SUBJECT MATTER EXPERTS

Worked examples

Example 1 — a first encounter with Semantic Application Design Language

Start with the simplest possible case. Write down what Semantic Application Design Language claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In 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 Semantic Application Design Language 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 Semantic Application Design Language 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 Semantic Application Design Language

In research: Semantic Application Design Language appears in 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 Semantic Application Design Language 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: Semantic Application Design Language is common in secondary-school and first-year university syllabi. It links to neighbouring topics Semantic Web, so understanding it makes those chapters shorter.
In everyday life: Look for Semantic Application Design Language 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 Semantic Application Design Language in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Semantic Application Design Language 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 Semantic Application Design Language out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Semantic Application Design Language in simple terms?

Why does Semantic Application Design Language matter?

Because it connects several 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 Semantic Application Design Language?

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 Semantic Application Design Language.