8402297
The Effects of Users' Motivation on their Perception to Trading Systems of Digital Content Accessories: Focusing on Trading Items in Online Games
As the market for digital content accessories grows, motivation for trading digital content accessories has significant effects on their fun, transaction cost, and intention to trade and use digital contents. However, few empirical studies have investigated users' perception of trading digital content accessories. The main purpose of this study is to construct and verify a research model identifying the relationships among the attributes of transaction, users' perceived fun and transaction cost, and the intention to trade and use digital contents, all of which are modulated by users' motivation. The research model was constructed based on transaction cost theory and motivational theory. An experiment in a real massive multiplayer online role playing game (MMORPG) environment was conducted and the results indicate that users' different motivations have effects on their perception to digital content accessories trading systems, intention to use those systems, and intention to use digital contents
6267168
A qualitative cross-national study of cultural influences on mobile data service design
As the use of mobile data services has spread across the globe, the effect of cultural differences on user requirements has become important issue. To date, however, little research has been conducted on the role cultural factors play in the design of mobile data services. This paper proposes a set of critical design attributes for mobile data services that takes cross-cultural differences into account. To determine these attributes, we devised a qualitative method and conducted in-depth long interviews in Korea, Japan, and Finland. We found 52 attributes considered important by mobile data service users, and 11 critical attributes that showed a clear correlation with characteristics of the user's culture. The paper concludes with a discussion of limitations and of implications for developers of mobile data services.
2642886
Cache-Conscious Automata for XML Filtering
Hardware cache behavior is an important factor in the performance of memory-resident, data-intensive systems such as XML filtering engines. A key data structure in several recent XML filters is the automaton, which is used to represent the long-running XML queries in the main memory. In this paper, we study the cache performance of automaton-based XML filtering through analytical modeling and system measurement. Furthermore, we propose a cache-conscious automaton organization technique, called the hot buffer, to improve the locality of automaton state transitions. Our results show that 1) our cache performance model for XML filtering automata is highly accurate and 2) the hot buffer improves the cache performance as well as the overall performance of automaton-based XML filtering
11850990
Network Traffic Reduction by Hypertext Compression
This paper proposes a three-step process to reduce the size of hypertext documents for reducing the network traffic on the Internet. With the explosive growth in the number of users on the Internet, the bandwidth demand has grown tremendously. Before the improvement of network infrastructures can meet the demand, this paper addresses the problem by reducing the size of HTML documents that currently occupies majority of the network traffic on the Internet. The proposed process consists of three steps: (1) shrinking HTML documents by removing data that will not alter the appearance and the function, (2) encoding HTML documents by representing most frequent used tags and words with single bytes, and (3) compressing HTML documents by using standard compression utilities. Our test results show that the proposed process achieves a reduction ratio of 81% on average. We also developed a browser plug-in program that provides transparent access for the users when viewing the reduced-size HTML documents. With the plug-in program, the users will not see any differences when viewing the reduced-sized HTML documents comparing to the original ones. They will, however, experience a reduction in retrieval latency on average of 15%.
6302139
Speeding up keyword search for search engines
In the current information age, the dominant method for information search is by providing few keywords to a search engine. Keyword search is currently one of the most important operations in search engines and numerous other applications. In this paper we propose a new text indexing technique for improving the performance of keyword search. Our proposed technique not only speeds up searching operations but also the operations for inserting and for deleting keywords, which are particularly important for the ever increasing and dynamic changing databases such as that for search engines. We propose to partition all
15301775
Implementing Xquery 1.0: The Galax Experience
Galax is a light-weight, portable, open-source implementation of XQuery 1.0. Started in December 2000 as a small prototype designed to test the XQuery static type system, Galax has now become a solid implementation, aiming at full conformance with the family of XQuery 1.0 specifications. Because of its completeness and open architecture, Galax also turns out to be a very convenient platform for researchers interested in experimenting with XQuery optimization. 
 
We demonstrate the Galax system as well as its most advanced features, including support for XPath 2.0, XML Schema and static type-checking. We also present some of our first experiments with optimization. Notably, we demonstrate query rewriting capabilities in the Galax compiler, and the ability to run queries on documents up to a Gigabyte without the need for preindexing. Although early versions of Galax have been shown in industrial conferences over the last two years, this is the first time it is demonstrated in the database community.
60699961
Cache-Conscious Automata for XML Filtering
Hardware cache behavior is an important factor in the performance of memory-resident, data-intensive systems such as XML filtering engines. A key data structure in several recent XML filters is the automaton, which is used to represent the long-running XML queries in the main memory. In this paper, we study the cache performance of automaton-based XML filtering through analytical modeling and system measurement. Furthermore, we propose a cache-conscious automaton organization technique, called the hot buffer, to improve the locality of automaton state transitions. Our results show that 1) our cache performance model for XML filtering automata is highly accurate and 2) the hot buffer improves the cache performance as well as the overall performance of automaton-based XML filtering