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SIMILE

SIMILE 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 SIMILE rather than just read about it. In short: SIMILE (Semantic Interoperability of Metadata and Information in unLike Environments) was a joint research project run by the World Wide Web Consortium (W3C), Massachusetts Institute of Technology Libraries and MIT CSAIL and funded by the Andrew W. Mellon Foundation.

Key takeaways

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

Reference excerpt

SIMILE (Semantic Interoperability of Metadata and Information in unLike Environments) was a joint research project run by the World Wide Web Consortium (W3C), Massachusetts Institute of Technology Libraries and MIT CSAIL and funded by the Andrew W. Mellon Foundation. The project ran from 2003 to August 2008. It focused on developing tools to increase the interoperability of disparate digital collections. Much of SIMILE's technical focus is oriented towards Semantic Web technology and standards such as Resource Description Framework (RDF).

History SIMILE stands for Semantic Interoperability of Metadata and Information in unLike Environments. It was born out of DSpace, the open source system digital repository for scholarly materials developed at MIT. DSpace, which is now used at a number of research institutions, archives scholarly publications, making it possible to federate the collections of the various holding libraries and combining materials across disciplines. The SIMILE project grew from the need to support metadata schemas in research materials which has been described in various domain-specific ways, and provides a capability beyond Dublin Core. The challenge for DSpace and other digital libraries is to assist communities in dealing with different schemes, vocabularies, ontologies and metadata and to provide research services to their users.

SIMILE projects

See also Haystack, a related project from the MIT which mostly concentrates on personal information management Freebase

References Butler, Mark H., Gilbert, John, Seaborne, Andy, Smathers, Kevin 2004, Data conversion, extraction and record linkage using XML and RDF tools in Project SIMILE. Digital Media Systems Laboratories HP Laboratories, Bristol, United Kingdom. Huynh, D., Mazzocchi, S., & Karger, D. Piggy Bank: experience the semantic web inside your web browser, MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA. Mazzocchi, S., Garland, S. & Lee, R. 2005, SIMILE: practical metadata for the semantic web, O'Reilly xml.com, 26 Jan. Project SIMILE: Semantic Interoperability of Metadata and Information in unLike Environments 2005, Massachusetts Institute of Technology, July, Massachusetts, United States.

External links SIMILE Project An independent "spin-off" from the SIMILE project W3C Semantic Web Activity

Worked examples

Example 1 — a first encounter with SIMILE

Start with the simplest possible case. Write down what SIMILE 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 SIMILE 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 SIMILE 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 SIMILE

In research
SIMILE 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 SIMILE 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
SIMILE is common in secondary-school and first-year university syllabi. It links to neighbouring topics Massachusetts Institute of Technology, Semantic Web, so understanding it makes those chapters shorter.
In everyday life
Look for SIMILE 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 SIMILE in 20 minutes

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

Frequently asked questions

What is SIMILE in simple terms?

SIMILE (Semantic Interoperability of Metadata and Information in unLike Environments) was a joint research project run by the World Wide Web Consortium (W3C), Massachusetts Institute of Technology Libraries and MIT CSAIL and funded by the Andrew W. Mellon Foundation.

Why does SIMILE 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 SIMILE?

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 SIMILE.

Tags

  • Massachusetts Institute of Technology
  • Semantic Web

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