home > library > publications > semantic searching with topic maps

close subject identifiers for Semantic searching with Topic Maps
  • http://www.topicmapslab.de/publications/semantic_search_with_topic_maps
  • http://www.topicmapslab.de/publications/semantic_searching_with_topic_maps
Meercat

Semantic searching with Topic Maps

Presentation, was published by Lars Marius Garshol at 2007-08-07

This presentation compares existing Topic Maps solutions for search with other existing search approaches.

External Link: more information

Garbage in, garbage out applies not just to information processing in general, but also especially to search. The quality of the data being searched determines the quality of the search result, and much of the effort required to make search work is spent cleaning up data to improve the quality. This presentation compares existing Topic Maps solutions for search with other existing search approaches to show similarities and differences. It then moves on to show what more can be done to exploit the semantics and structure of Topic Maps to improve the search experience beyond what has been done so far.

Authors

Lars Marius Garshol

No contact information available. 

Photoserv_1_

Lars Marius is project leader of TM Photo, Topic Maps Tools, and duke - fast deduplication.. .

Presented at

This publication is cited in the following publication

 

Follow us on Twitter

maiana

Topic Maps is the only formal semantic model which is optimized for humans, not for computers. Applications and web portals based on Topic Maps are easy to use, without limitations for flexibility and creativity.

Benjamin-medium
Benjamin Bock
Ruby Topic Maps
practical-semantics.com
Topic Maps Lab auf der Cebit 2011
Partners

Graduate from the Topic Maps Lab

onotoa