With the exponential growth of the available information on the World Wide Web, a traditional search engine, even if based on sophisticated document indexing algorithms, has diffi...
Search engines, generally, return results without any regard for the concepts in which the user is interested. In this paper, we present our approach to personalizing search engin...
In this paper, we introduce the design of a Personalized Education (PE) search approach that employs multiple ontologies to automatically generate queries for educational resource...
In this paper we propose a hierarchical clustering engine, called SnakeT, that is able to organize on-the-fly the search results drawn from 16 commodity search engines into a hier...
Keyword-based search in relational databases allows users to discover relevant information without knowing the database schema or using complicated queries. However, such searches...