Idea navigation: structured browsing for unstructured text
R. Stewart, G. Scott, and V. Zelevinsky. CHI '08: Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems, page 1789--1792. New York, NY, USA, ACM, (2008)
DOI: 10.1145/1357054.1357332
Abstract
Traditional interfaces for information access do not fully support queries that rely on semantic relationships between terms. To better support such queries, we introduce a system that automatically extracts subject-verb-object concepts from unstructured text documents and dynamically presents them to the user as navigable refinements. This approach, which we call "idea navigation," makes subject-verb-object querying as simple as selecting successive refinements. It also supports exploratory search by providing a view of the most common ideas in the current result set. First-time users of a prototype system successfully used idea navigation to solve realistic search tasks, demonstrating its effectiveness.
%0 Conference Paper
%1 citeulike:2752937
%A Stewart, Robin
%A Scott, Gregory
%A Zelevinsky, Vladimir
%B CHI '08: Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems
%C New York, NY, USA
%D 2008
%I ACM
%K aboutness information-extraction japaws navigation
%P 1789--1792
%R 10.1145/1357054.1357332
%T Idea navigation: structured browsing for unstructured text
%U http://dx.doi.org/10.1145/1357054.1357332
%X Traditional interfaces for information access do not fully support queries that rely on semantic relationships between terms. To better support such queries, we introduce a system that automatically extracts subject-verb-object concepts from unstructured text documents and dynamically presents them to the user as navigable refinements. This approach, which we call "idea navigation," makes subject-verb-object querying as simple as selecting successive refinements. It also supports exploratory search by providing a view of the most common ideas in the current result set. First-time users of a prototype system successfully used idea navigation to solve realistic search tasks, demonstrating its effectiveness.
%@ 9781605580111
@inproceedings{citeulike:2752937,
abstract = {{Traditional interfaces for information access do not fully support queries that rely on semantic relationships between terms. To better support such queries, we introduce a system that automatically extracts subject-verb-object concepts from unstructured text documents and dynamically presents them to the user as navigable refinements. This approach, which we call "idea navigation," makes subject-verb-object querying as simple as selecting successive refinements. It also supports exploratory search by providing a view of the most common ideas in the current result set. First-time users of a prototype system successfully used idea navigation to solve realistic search tasks, demonstrating its effectiveness.}},
added-at = {2018-03-19T12:24:51.000+0100},
address = {New York, NY, USA},
author = {Stewart, Robin and Scott, Gregory and Zelevinsky, Vladimir},
biburl = {https://www.bibsonomy.org/bibtex/218ded6468a868175745a597d05e05957/aho},
booktitle = {CHI '08: Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems},
citeulike-article-id = {2752937},
citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1357054.1357332},
citeulike-linkout-1 = {http://dx.doi.org/10.1145/1357054.1357332},
doi = {10.1145/1357054.1357332},
interhash = {445e08be68802c0caad4661a96b0e4ec},
intrahash = {18ded6468a868175745a597d05e05957},
isbn = {9781605580111},
keywords = {aboutness information-extraction japaws navigation},
pages = {1789--1792},
posted-at = {2008-06-26 21:01:51},
priority = {5},
publisher = {ACM},
timestamp = {2018-03-19T12:24:51.000+0100},
title = {{Idea navigation: structured browsing for unstructured text}},
url = {http://dx.doi.org/10.1145/1357054.1357332},
year = 2008
}