Title :
World knowledge for the domain of your choice
Author_Institution :
Dept. of Comput. Sci., Essex Univ., Colchester, UK
Abstract :
Modern Web search engines access large parts of the publicly indexable Web. Relevant sites can be found easily thanks to advanced techniques such as Google´s PageRank algorithm. However, a common problem remains the large number of matching documents being returned even for fairly specific queries. The same problem can be observed in domains that are more limited like intranets or local Web sites. By enriching a search engine with knowledge about the domain one could provide much more feedback for a query than just a list of matches, such as a number of useful discriminating terms, that would allow the user to constrain the query. We present a way of building such a domain model automatically by analyzing the markup of the source data. We will illustrate this with some examples taken from our sample domain
Keywords :
knowledge acquisition; search engines; Web search engines; domain model; domain model construction; knowledge; matching documents; publicly indexable Web; Buildings; Computer science; Context awareness; Data mining; Databases; Feedback; Navigation; Search engines; Sociology; Web search;
Conference_Titel :
Systems, Man, and Cybernetics, 2001 IEEE International Conference on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-7087-2
DOI :
10.1109/ICSMC.2001.969872