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Authors: Feiyu Xu ; Peter Adolphs ; Hans Uszkoreit ; Xiwen Cheng and Hong Li

Affiliation: DFKI GmbH, Language Technology Lab, Germany

ISBN: 978-989-8111-66-1

Keyword(s): Web mining, Relation extraction, Web intelligence, Intelligent user interface, Conversational agent, Question answering, Dialogue system.

Related Ontology Subjects/Areas/Topics: Agents ; Applications ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Conversational Agents ; Data Manipulation ; Enterprise Information Systems ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Intelligent User Interfaces ; Knowledge Discovery and Information Retrieval ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Methodologies and Methods ; Natural Language Processing ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing ; Symbolic Systems ; Web Mining

Abstract: This paper presents a novel approach to a self-learning agent who collects and learns new knowledge from the web and exchanges her knowledge via dialogues with the users. The application domain is gossip about celebrities in the music world. The agent can inform herself and update the acquired knowledge by observing the web. Fans of musicians can ask for gossip information about stars, bands or people and groups related to them. This agent is built on top of information extraction, web mining, question answering and dialogue system technologies. The minimally supervised machine learning method for relation extraction gives the agent the capability to learn and update knowledge constantly from the web. The extracted relations are structured and linked with each other. Data mining is applied to the learned data to induce the social network among the artists and related people. The knowledge-intensive question answering technology enhanced by domain-specific inference and active memory allows the agent to have vivid and interactive conversations with users by utilizing natural language processing. Users can freely formulate their questions within the gossip data domain and access the answers in different ways: textual response, graph-based visualization of the related concepts and speech output. (More)

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Paper citation in several formats:
Xu F.; Adolphs P.; Uszkoreit H.; Cheng X.; Li H. and (2009). GOSSIP GALORE - A Conversational Web Agent for Collecting and Sharing Pop Trivia.In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8111-66-1, pages 115-122. DOI: 10.5220/0001663901150122

@conference{icaart09,
author={Feiyu Xu and Peter Adolphs and Hans Uszkoreit and Xiwen Cheng and Hong Li},
title={GOSSIP GALORE - A Conversational Web Agent for Collecting and Sharing Pop Trivia},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2009},
pages={115-122},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001663901150122},
isbn={978-989-8111-66-1},
}

TY - CONF

JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - GOSSIP GALORE - A Conversational Web Agent for Collecting and Sharing Pop Trivia
SN - 978-989-8111-66-1
AU - Xu, F.
AU - Adolphs, P.
AU - Uszkoreit, H.
AU - Cheng, X.
AU - Li, H.
PY - 2009
SP - 115
EP - 122
DO - 10.5220/0001663901150122

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