Titlebook: Information Retrieval Technology; 5th Asia Information Gary Geunbae Lee,Dawei Song,Tetsuya Sakai Conference proceedings 2009 Springer-Verla

DUST

Masayuki Okamoto,Masaaki Kikuchi bridges is not less advanced than that of common dwellings. Their forms are rich and diverse, their spatial combinations complex and mutable. It’s no doubt that, compared with other forms of bridges, the architectural space of China’s covered bridges is richer, their structure more complicated, and

調(diào)色板

Yunping Huang,Le Sun,Zhe Wangession is analysed. In the genetic classification of ponors, the distribution of non-karstic rocks and the position of karst water are considered. In the description of the evolution of DSDs, the karstic and non-karstic influences are overviewed, and it is investigated from what landforms (subsidenc

不妥協(xié)

Jenq-Haur Wang,Hung-Chi Changrent present elevation of karst horsts. Covered karst is continually reproduced where intensive karstification happens. Such type is tropical karst. In an overview of geomorphic evolution, the role bare karst plays in covered karst formation, the phases of bare karst development and the contribution

Engulf

Jun Wang numbers are introduced. Results are illustrated on these two concepts and the relationship between traceable concepts and Hamiltonian concepts are examined. Describes several variations of traceable numbers, which provide new frame works for several well-known Hamiltonian concepts and produce inter

微生物

Overdose

延期

Fully Automatic Text Categorization by Exploiting WordNet. In FACT, the training data is constructed automatically by using the knowledge of the category name. With the support of WordNet, it first uses the category name to generate a set of features for the corresponding category. Then, a set of documents is labeled according to such features. To reduce

著名

獨(dú)特性

Assigning Location Information to Display Individuals on a Map for Web People Search Resultselp users select person clusters that are separated into different people from the result of person searches on the Web. We propose a method to assign person clusters with one piece of location information. Our method is comprised of two processes: (a) extracting location candidates from Web pages a

hazard