Kristofer Franzn’s scientific contributions

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Publications (3)


WEST: A Web Browser for Small Terminals
  • Article
  • Full-text available

December 2002

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175 Reads

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19 Citations

Staffan Bjrk

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Kristofer Franzn

We describe WEST, a WEb browser for Small Terminals, that aims to solve some of the problems associated with accessing web pages on hand-held devices. Through a novel combination of text reduction and focus+context visualization, users can access web pages from a very limited display environment, since the system will provide an overview of the contents of a web page even when it is too large to be displayed in its entirety. To make maximum use of the limited resources available on a typical hand-held terminal, much of the most demanding work is done by a proxy server, allowing the terminal to concentrate on the task of providing responsive user interaction. The system makes use of some interaction concepts reminiscent of those defined in the Wireless Application Protocol (WAP), making it possible to utilize the techniques described here for WAP-compliant devices and services that may become available in the near future.

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Citations (3)


... Research prototypes that use automatic re-authoring fall into two main categories: page reformatting and page scaling. An example of techniques based on page reformatting is the Power Browser [3], where images and white space are removed, and the WEST browser [2], which uses flip zooming, a visualization technique that breaks pages into screen-sized tiles and presents them as a stack. Difficulties with recognizing layout and leveraging the desktop browsing experience are common to all these approaches, since they all have an impact on the page layout. ...

Reference:

Use of RSS feeds for content adaptation in mobile web browsing
WEST: A Web Browser for Small Terminals

... Therefore, such systems require more human analysis on biological name characteristics and exceptions. However, these systems easily add new rules to increase system performance and find out what rules tag the wrong names after observing the tagged text [9][10][11]. 3. Machine learning Systems: These systems are concerned with the design and development of algorithms that allow computers to evolve behaviors based on empirical data. A major focus of machine learning research is to automatically learn to recognize complex patterns and make intelligent decisions based on input data. ...

Exploiting Syntax when Detecting Protein Names in Text

... First, Information Extraction (IE) is performed on both documents and questions. In particular, Named Entities (NE) are recognized and tagged (using gazetteers [1], [7], heuristics [6], [5], [10], or machine learning [9]). Then an IR module is used to retrieve a relatively small set of passages which contain the keywords of the question. ...

Using Heuristics, Syntax and a Local Dynamic Dictionary for Protein Name Tagging
  • Citing Article
  • March 2002