This special issue comprises of eleven selected papers from the 3rd International Conference on Ubiquitous Information Management and Communication (ICUIMC 2009). From 358 papers submitted in the conference, 106 papers were selected for presentation. Among them, eleven qualified papers have been selected as the papers for this special issue, which deal with state-of-the-art software technology.
Explosive growth of information on the Internet has made data search algorithm a critical issue nowadays. Thus, five papers focus on data search algorithm: “Energy Valid Scope for Location-Dependent Spatial Queries in Mobile Environments,” by Ken C. K. Lee, Wang-Chien Lee, Hong Va Leong, Brandon Unger, and Baihua Zheng, designed an algorithm to compute the valid scope where clients receive the same query result, thus eliminating the waste of sending many LDSQs to the server by nearby clients. “Small Knowledge Canvas: Software for Managing Fragmental Knowledge,” by Akiko Hino and Katsumi Tanaka, introduces the concept of “Small knowledge canvas” to utilize the fragmental knowledge, and thus they design a Web browsing model and context extraction algorithm to enrich the bookmark for personal context. “Improving Search and Information Credibility Analysis from Interaction between Web1.0 and Web2.0 Contents,” by Katsumi Tanaka, Satoshi Nakamura, Hiroaki Ohshima, Yusuke Yamamoto, Yusuke Yanbe, and Makoto Kato, proposes a new idea for improving the Web search performance and increasing the information credibility of search results by the usage of Web 1.0 and Web2.0 contents in a complementary manner. “Pivoted Table Index for Querying Product-Property-Value Information,” by Hyunja Lee and Junho Shim, proposes two storage-schemas: a vertical schema as a primary table structure for the triple information in RDBMS and a pivoted table index created from the basic vertical table as an additional index structure for accelerating query triple (product– attribute–value) information. “Metadata Management for Integration and Analysis of Earth Observation Data,” by Akira Takahashi, Masashi Tatedoko, Toshiyuki Shimizu, Hiroko Kinutani, and Masatoshi Yoshikawa, proposes a conceptual model of earth observation data store and manage earth observation. The model is a simple quintuple with information extracted from conventional data models, and it is used to uniquely determine portions of earth observation data, and thus easy to add annotations to data. ....

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