Abstract
![CDATA[Human communications are quite successful and seem to be very easy. Human communication is more successful when there is an implicit understanding of everyday situations of others who take part in the communication. Similar to human communication, if an automated system could keep or capture the contextual information related to a user and the query, then it could use this information to process the query, resulting in more useful answers. As this contextual information depends on the query domain, if the automated system could identify the domain of the query, then it could expand the query with domain specific contextual information and user preferences related to the query domain. This paper briefs the requirements of such a query expansion and describes an algorithm to identify application domains of user queries.]]
| Original language | English |
|---|---|
| Title of host publication | 6th IEEE/ACIS International Conference on Computer and Information Science : (ICIS 2007) in Conjunction With 1st IEEE/ACIS International Workshop on e-Activity (IWEA 2007) : Proceedings : 11-13 Jul., 2007, Melbourne, Australia |
| Publisher | IEEE |
| Number of pages | 6 |
| ISBN (Electronic) | 0769528414 |
| ISBN (Print) | 9780769528410 |
| Publication status | Published - 2007 |
| Event | IEEE/ACIS International Conference on Computer and Information Science,IEEE/ACIS International Workshop on e-Activity - Duration: 1 Jan 2007 → … |
Conference
| Conference | IEEE/ACIS International Conference on Computer and Information Science,IEEE/ACIS International Workshop on e-Activity |
|---|---|
| Period | 1/01/07 → … |
Keywords
- data mining
- querying (computer science)
- internet domain names
- computer algorithms
- context-aware computing