science

Web intelligence

Web intelligence 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 Web intelligence rather than just read about it. In short: Web intelligence is the area of scientific research and development that explores the roles and makes use of artificial intelligence and information technology for new products, services and frameworks that are empowered by the World Wide Web. The term was coined in a paper written by Ning Zhong, Jiming Liu Yao and Y.Y.

Key takeaways

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

Reference excerpt

Web intelligence is the area of scientific research and development that explores the roles and makes use of artificial intelligence and information technology for new products, services and frameworks that are empowered by the World Wide Web. The term was coined in a paper written by Ning Zhong, Jiming Liu Yao and Y.Y. Ohsuga in the Computer Software and Applications Conference in 2000.

Research The research about the web intelligence covers many fields – including data mining (in particular web mining), information retrieval, pattern recognition, predictive analytics, the semantic web, web data warehousing – typically with a focus on web personalization and adaptive websites.

References

Further reading Zhong, Ning; Liu Yao, Jiming; Yao, Yiyu (2003). Web Intelligence. Springer. ISBN 978-3-540-44384-1. Shroff, Gautam (January 2014). The Intelligent Web: Search, smart algorithms, and big data. OUP Oxford. ISBN 978-0-19-964671-5. Velasquez, Juan; Vacile, Palade (2008). Adaptive Web Site: A Knowledge Extraction from Web Data Approach (1st ed.). IOS Press. ISBN 978-1-58603-831-1. Chbeir, Richard; Badr, Youakim; Abraham, Ajith; Hassanien, Aboul-Ella (April 2010). Emergent Web Intelligence: Advanced Information Retrieval (Advanced Information and Knowledge Processing) (PDF). Springer. ISBN 978-1-84996-073-1. Archived from the original (PDF) on 2012-11-11. Retrieved 2015-06-13.

External links Web Intelligence Journal Page Web Intelligence Consortium, an international, non-profit organization dedicated to advancing worldwide scientific research and industrial development in the field of Web Intelligence Web intelligence Research Group at University of Chile

Worked examples

Example 1 — a first encounter with Web intelligence

Start with the simplest possible case. Write down what Web intelligence 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 Web intelligence 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 Web intelligence 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 Web intelligence

In research: Web intelligence 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 Web intelligence 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: Web intelligence is common in secondary-school and first-year university syllabi. It links to neighbouring topics Artificial intelligence, Big data, Collective intelligence, so understanding it makes those chapters shorter.
In everyday life: Look for Web intelligence 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 Web intelligence in 20 minutes

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

Frequently asked questions

What is Web intelligence in simple terms?

Why does Web intelligence 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 Web intelligence?

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 Web intelligence.