PMID: 18263007;Abstract:
An automatic indexing and concept classification approach to a multilingual (Chinese and English) bibliographic database is presented. We introduced a multi-linear term-phrasing technique to extract concept descriptors (terms or keywords) from a Chinese-English bibliographic database. A concept space of related descriptors was then generated using a co-occurrence analysis technique. Like a man-made thesaurus, the system-generated concept space can be used to generate additional semantically-relevant terms for search. For concept classification and clustering, a variant of a Hopfield neural network was developed to cluster similar concept descriptors and to generate a small number of concept groups to represent (summarize) the subject matter of the database. The concept space approach to information classification and retrieval has been adopted by the authors in other scientific databases and business applications, but multilingual information retrieval presents a unique challenge. This research reports our experiment on multilingual databases. Our system was initially developed in the MS-DOS environment, running ETEN Chinese operating system. For performance reasons, it was then tested on a UNIX-based system. Due to the unique ideographic nature of the Chinese language, a Chinese term-phrase indexing paradigm considering the ideographic characteristics of Chinese was developed as a multilingual information classification model. By applying the neural network based concept classification technique, the model presents a novel way of organizing unstructured multilingual information. © 1996 IEEE.
Abstract:
With the increased popularity of virtual worlds, hundreds of thousands of people from different physical locations can join virtual worlds. In this computer-based simulated 3D environment, avatars can both interact with each other and the environment. This new type of world has important implications for business, education, and society at large. In order to fully use the benefits of virtual worlds, it is important to know how the residents (i.e., avatars) behave, such as how they express sentiments. This research in progress seeks to study avatar sentiments in virtual worlds to examine whether and how sentiments are conveyed by avatars. Both verbal and non-verbal cues will be utilized in the sentiment analysis. To conduct the study, an advanced data collection method is leveraged to obtain various types of avatar data from a large number of real virtual world residents in Second Life in an effective and efficient way. © (2012) by the AIS/ICIS Administrative Office All rights reserved.
Abstract:
Timely information access and knowledge support is critical for law enforcement, because officers require convenient and timely access to accurate data, relevant information, and integrated knowledge in their crime investigation and fighting activities. As an integrated system that provides such support, COPLINK can improve collaboration within and across agency boundaries. This study examines field officers' acceptance and actual use of COPLINK Mobile, a critical technology that offers COPLINK core query functionalities through a lightweight, handheld device or mobile applications running on a small bandwidth. We propose and empirically test a factor model explaining the focal technology acceptance with survey data collected from 40 field officers. The data support our model and most of the hypotheses, which can reasonably explain an officer's acceptance and actual use of COPLINK Mobile. Among the determinants investigated, perceived usefulness has the greatest impact and depends on both efficiency gain and social influence. Our findings have important implications for both research and practice. © 2010 Elsevier B.V. All rights reserved.
