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Schemas are cognitive structures that provide a framework for interpreting and organizing social information. They help individuals navigate complex environments by offering expectations about people, events, and behaviors. Schemas influence attention, encoding, and retrieval processes, thereby shaping the entire trajectory of information processing in social contexts.Attention and Cognitive LoadDuring initial attention, schemas function as filters that prioritize schema-consistent information,...
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XML: a lingua franca for science?

E Barillot1, F Achard

  • 1G.I.S. Infobiogen, Villejuif, France. Emmanuel.Barillot@infobiogen.fr

Trends in Biotechnology
|July 19, 2000
PubMed
Summary

Extensible Markup Language (XML) offers a solution to the World Wide Web

Area of Science:

  • Computer Science
  • Web Technologies
  • Bioinformatics

Background:

  • The World Wide Web's primary language, HTML, has limitations due to its lack of extensibility.
  • Existing web technologies face challenges in flexible data representation and exchange.

Purpose of the Study:

  • To introduce Extensible Markup Language (XML) as a solution for web data exchange.
  • To highlight the benefits and applications of XML, particularly in biological sciences.

Main Methods:

  • Discussion of the fundamental concepts and syntax of XML.
  • Analysis of the advantages of XML over traditional HTML for data structuring.
  • Review of real-world case studies demonstrating XML implementation.

Main Results:

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  • XML provides a robust and extensible framework for data markup and exchange.
  • Significant benefits are observed in data integration and interoperability, especially in biology.
  • Successful real-life applications showcase XML's versatility.

Conclusions:

  • XML addresses the extensibility limitations of HTML, enhancing web data management.
  • XML is a powerful tool for data exchange, with transformative potential in biological research and applications.