Idea navigation: structured browsing for unstructured text Export

@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.}, address = {New York, NY, USA}, author = {Stewart, Robin and Scott, Gregory and Zelevinsky, Vladimir}, 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}, isbn = {9781605580111}, keywords = {browsing, faceted-browsing, information\_extraction, unstructured-text}, pages = {1789--1792}, posted-at = {2008-08-19 16:41:21}, priority = {0}, publisher = {ACM}, title = {Idea navigation: structured browsing for unstructured text}, url = {http://dx.doi.org/10.1145/1357054.1357332}, year = {2008} }

TY - CONF ID - citeulike:2752937 L3 - citeulike-article-id:2752937 N2 - 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. SN - 9781605580111 AD - New York, NY, USA EP - 1792 TI - Idea navigation: structured browsing for unstructured text PB - ACM T2 - CHI '08: Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems SP - 1789 KW - browsing KW - faceted-browsing KW - information_extraction KW - unstructured-text AU - Stewart, Robin AU - Scott, Gregory AU - Zelevinsky, Vladimir PY - 2008/// UR - http://dx.doi.org/10.1145/1357054.1357332 ER -