TY - GEN
T1 - Event-centralized management of geographic information collected from blog
AU - Yasumura, Shoko
AU - Ikezaki, Masakazu
AU - Watanabe, Toyohide
AU - Ushiama, Taketoshi
PY - 2007
Y1 - 2007
N2 - In this paper, we propose a method for automatically extracting events from information networks. Personal experiences can be handled by associating them with time and space information from a viewpoint of managing personal media data. We define an event as an occurrence experienced in the real world, and design a geographic information system that can handle them. We assume that when an event occurs in the real world, blog entries about it are directly registered in the Web. We collect these blog entries and extract appropriate events from them. Useful events are described with time and place. However, problems are caused by two factors. One, identical names are observed in different regions. The other is nonassociated place names are extracted with the event. In order to handle the former problem, a place name dictionary is prepared based on geographic inclusive relationships. In order to handle the latter problem, events are identified by type, time and place.
AB - In this paper, we propose a method for automatically extracting events from information networks. Personal experiences can be handled by associating them with time and space information from a viewpoint of managing personal media data. We define an event as an occurrence experienced in the real world, and design a geographic information system that can handle them. We assume that when an event occurs in the real world, blog entries about it are directly registered in the Web. We collect these blog entries and extract appropriate events from them. Useful events are described with time and place. However, problems are caused by two factors. One, identical names are observed in different regions. The other is nonassociated place names are extracted with the event. In order to handle the former problem, a place name dictionary is prepared based on geographic inclusive relationships. In order to handle the latter problem, events are identified by type, time and place.
UR - http://www.scopus.com/inward/record.url?scp=38049010448&partnerID=8YFLogxK
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U2 - 10.1007/978-3-540-74827-4_97
DO - 10.1007/978-3-540-74827-4_97
M3 - Conference contribution
AN - SCOPUS:38049010448
SN - 9783540748267
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 769
EP - 776
BT - Knowledge-Based Intelligent Information and Engineering Systems
T2 - 11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007
Y2 - 12 September 2007 through 14 September 2007
ER -