Premium
Data‐driven approaches to information access
Author(s) -
Dumais Susan
Publication year - 2003
Publication title -
cognitive science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.498
H-Index - 114
eISSN - 1551-6709
pISSN - 0364-0213
DOI - 10.1207/s15516709cog2703_7
Subject(s) - computer science , theme (computing) , categorization , representation (politics) , question answering , information retrieval , information access , data science , artificial intelligence , world wide web , politics , political science , law
This paper summarizes three lines of research that are motivated by the practical problem of helping users find information from external data sources, most notably computers. The application areas include information retrieval, text categorization, and question answering. A common theme in these applications is that practical information access problems can be solved by analyzing the statistical properties of words in large volumes of real world texts. The same statistical properties constrain human performance, thus we believe that solutions to practical information access problems can shed light on human knowledge representation and reasoning.