In this work the performance of several local search and metaheuristic methods is compared to previously reported work using evolutionary algorithms. The results show that while m...
We study common query intentions in a software developer network with more than one million users. Based on a large query log analysis we could identify typical search intentions a...
In this paper, we have proposed a novel comprehensive structural framework for the construction of ontology from a given legal corpus for the purpose of query enhancement to pick r...
Personal Information Assistants that search on user’s behalf aim to fetch relevant documents on a regular basis. We have developed such assistant system and evaluated it using a...
Finding information is a problem shared by people and intelligent systems. This paper describes an experiment combining both human and machine aspects in a knowledgebased system t...