2946583
Visualizing a computer mediated communication (CMC) process to facilitate knowledge management
The archive of a computer-mediated communication (CMC) process contains knowledge shared and implicit information about participants' behavior patterns during discussion. However, most CMC systems focus only on organizing the content of discussions. On the other hand, the social visualization research has developed techniques to depict human behaviors during a process of CMC but has not been integrated in any organizational memory system yet. In addition, the impacts of the graphical representations created by social visualization techniques have seldom been studied. The dissertation thus proposes a two-phase research to address those issues. The first phase proposes a prototype system that integrates a social visualization technique with various information analysis technologies to graphically summarize both the content and behavior of a CMC process. The second phase proposes to adopt the "de-featuring" approach used by previous interface evaluation studies to evaluate how the graphical interface developed affects users' information acquisition and evaluation process.
770502
Visualizing the archive of a computer mediated communication process
The archive of computer-mediated communication (CMC) process contains knowledge shared and information about participants' behavior patterns. However, most CMC systems focus only on organizing the content of discussions. We propose to demo a prototype system that integrates a social visualization technique with existing information analysis technologies to graphically summarize both the content and behavior of a CMC process.
30023273
MedTextus: an intelligent web-based medical meta-search system
We propose to demonstrate a web-based prototype system that integrates the meta-search approach with existing information analysis and visualization technologies to facilitate concept-based searching behavior over the medical domain. The system distinguishes itself from other meta-search engines through two features. It incorporates the co-occurrence analysis and existing ontology to understand user's query. It also utilizes the self-organizing map (SOM) to categorize and visualize search results.
12630328
Creating a large-scale content-based airphoto image digital library
This paper describes a content-based image retrieval digital library that supports geographical image retrieval over a testbed of 800 aerial photographs, each 25 megabytes in size. In addition, this paper also introduces a methodology to evaluate the performance of the algorithms in the prototype system. There are two major contributions: we suggest an approach that incorporates various image processing techniques including Gabor filters, image enhancement and image compression, as well as information analysis techniques such as the self-organizing map (SOM) into an effective large-scale geographical image retrieval system. We present two experiments that evaluate the performance of the Gabor-filter-extracted features along with the corresponding similarity measure against that of human perception, addressing the lack of studies in assessing the consistency between an image representation algorithm or an image categorization method and human mental model.
9274167
Communication-Garden System: Visualizing a computer-mediated communication process
Archives of computer-mediated communication (CMC) could be valuable organizational resources. Most CMC archive systems focus on presenting one of the three aspects of a CMC community: discussion content, participants' behavior, or social networks among participants. Very few CMC archive systems support the easy integration of these three aspects. This paper thus describes two-phase research to propose an automatic approach that facilitates users' integrated understanding of discussion content and behavior of CMC participants. We validated the approach through the development and evaluation of a prototype system, the Communication-Garden system.
16961887
Newsmap: a knowledge map for online news
Information technology has made possible the capture and accessing of a large number of data and knowledge bases, which in turn has brought about the problem of information overload. Text mining to turn textual information into knowledge has become a very active research area, but much of the research remains restricted to the English language. Due to the differences in linguistic characteristics and methods of natural language processing, many existing text analysis approaches have yet to be shown to be useful for the Chinese language. This research focuses on the automatic generation of a hierarchical knowledge map NewsMap, based on online Chinese news, particularly the finance and health sections. Whether in print or online, news still represents one important knowledge source that people produce and consume on a daily basis. The hierarchical knowledge map can be used as a tool for browsing business intelligence and medical knowledge hidden in news articles. In order to assess the quality of the map, an empirical study was conducted which shows that the categories of the hierarchical knowledge map generated by NewsMap are better than those generated by regular news readers, both in terms of recall and precision, on the sub-level categories but not on the top-level categories. NewsMap employs an improved interface combining a ID alphabetical hierarchical list and a 2D Self-Organizing Map (SOM) island display. Another empirical study compared the two visualization displays and found that users' performances can be improved by taking advantage of the visual cues of the 2D SOM display.
14599346
Generating Test Case from Functional Requirement of Web Applications
E-commerce has been developing rapidly around the world. We run Web application to support e-commerce. Quality of Web applications influences the functionalities and security of e-commerce. Modeling and testing are important to Quality of Web applications. Many researchers are still to find effective ways to model and test Web applications. Formal methods can improve the quality of Web applications. This paper suggests utilizing a formal language (object-z to) describe functional requirement of Web applications. An approach to generating test sequence is introduced in this paper. We analyze formal specification to find out atomic operations and then identify the environment precondition of the operation (EPRE) for each atomic operation. We use EPREs to build an environment Transition Graph (ETG). The steps of transforming an ETG into environment transition sequences are also addressed. Two test adequacy criteria are defined as a guideline for the selection of the test sequences.
40795966
Research on Emotional Vocabulary-Driven Personalized Music Retrieval
In this paper, aimed at emotional interactive needs in music retrieval, a new retrieval method, based on dynamic characteristics of fuzzy psychological and linguistic value computing of music emotion, is putting forward. And an improved interactive genetic algorithm is designed for the emotional retrieval goal. In order to reduce users' fatigue of retrieval process, choice operator for fine breed, crossover operator holding the dominant element of emotion vector, and self-genetic operation strategy are designed.
19870915
Research on Network-Based Collaborative Commodity Development
In this paper, a detailed method is proposed to make the transformation of a product model to a commodity model. A collaborative commodity development theory based on the three properties of physical, energy and information is proposed. An integrated model composed of four sub-models is analyzed: designing sub-model, supplying sub-model, managing sub-model, and profit sub-model. The key techniques in the system development are discussed, including the network-based parts application technology and the commercial model optimization and evaluation technology. For the former, a search engine using the functional agent technology for network-based parts searching is described. A prototype system has been implemented to validate the proposed approach.
7138915
A novel visualization technique for network anomaly detection
Visualized information is a technique that can encode large amounts of complex interrelated data, being at the same time easily quantified, manipulated, and processed by a human user. Our aim is to develop a novel graphical technique for network traffic visualization that will easily highlight anomalies that can arise within the network. In our work we are exclusively concerned with all the information that can be extracted at the network layer (e.g., from the TCP/IP datagram). We choose to use the Darpa 1999 database given the fact that all the intrusions are labeled and we can easily observe the visualization behavior while the network is under attack. Although applied to a dataset, the visualization technique can work on-line in a network because it only uses data that can be extracted in a real-time manner. Experiments show our visualization technique to be a good medium when trying to identify possible anomalies of the network such as:DoS types of attacks (e.g.,Smurfand Mailbomb) as well as probing attacks (e.g.,Portsweepand IPsweep).
12364749
A Note on the Cramer-Damgård Identification Scheme
In light of the recent work of Micali and Reyzin on showing the subtleties and complexities of the soundness notions of zero-knowledge (ZK) protocols when the verifier has his public-key, we re-investigate the Cramer-Damgard intended-verifier identification scheme and show two man-in-the-middle attacks in some reasonable settings: one simple replaying attack and one ingenious interleaving attack. Our attacks are independent of the underlying hardness assumptions assumed.