Speech patterns in video-mediated conversations
CHI '92 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Reasoning about naming systems
ACM Transactions on Programming Languages and Systems (TOPLAS)
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Visualizing implicit queries for information management and retrieval
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Using Noun Phrase Heads to Extract Document Keyphrases
AI '00 Proceedings of the 13th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
Visage: a user interface environment for exploring information
INFOVIS '96 Proceedings of the 1996 IEEE Symposium on Information Visualization (INFOVIS '96)
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This paper presents Latent Semantic Googling, a variant of Landauer's Latent Semantic Indexing that uses the Google search engine to judge the semantic closeness of sets of words and phrases. This concept is implemented via Ambient Google, a system for augmenting conversations through the classification of discussed topics. Ambient Google uses a speech recognition engine to generate Google keyphrase queries directly from conversations. These queries are used to analyze the semantics of the conversation, and infer related topics that have been discussed. Conversations are visualized using a spring-model algorithm representing common topics. This allows users to browse their conversation as a contextual relationship between discussed topics, and augment their discussion through the use of related websites discovered by Google. An evaluation of Ambient Google is presented, discussing user reaction to the system.