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Studying Databases of Intentions: Do Search Query Logs Capture Knowledge about Common Human Goals?
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BibTeX
@MISC{Strohmaier_studyingdatabases,
author = {Markus Strohmaier and Mark Kröll},
title = {Studying Databases of Intentions: Do Search Query Logs Capture Knowledge about Common Human Goals?},
year = {}
}
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Abstract
Access to knowledge about common human goals has been found critical for realizing the vision of intelligent agents acting upon user intent on the web. Yet, the acquisition of knowledge about common human goals represents a major challenge. In a departure from existing approaches, this paper investigates a novel resource for knowledge acquisition: The utilization of search query logs for this task. By relating goals contained in search query logs with goals contained in existing commonsense knowledge bases such as ConceptNet, we aim to shed light on the usefulness of search query logs for capturing knowledge about common human goals. The main contribution of this paper consists of insights generated from an empirical study comparing common human goals contained in two large search query logs (AOL and Microsoft Research) with goals contained in the commonsense knowledge base ConceptNet. The paper sketches ways how goals from search query logs could be used to address the goal acquisition and goal coverage problem related to commonsense knowledge bases.
Keyphrases
common human goal search query log query log capture knowledge microsoft research novel resource large search query log goal acquisition goal coverage problem knowledge acquisition main contribution user intent intelligent agent empirical study commonsense knowledge base knowledge base commonsense knowledge base conceptnet major challenge
