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Knowledge, Information and Creativity Support Systems (KICSS), 2012 Seventh International Conference on

Date 8-10 Nov. 2012

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  • [Front cover]

    Publication Year: 2012 , Page(s): C4
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  • [Title page i]

    Publication Year: 2012 , Page(s): i
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  • [Title page iii]

    Publication Year: 2012 , Page(s): iii
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  • [Copyright notice]

    Publication Year: 2012 , Page(s): iv
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  • Table of contents

    Publication Year: 2012 , Page(s): v - viii
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  • Message from General Chairs

    Publication Year: 2012 , Page(s): ix
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  • Message from Program Chair

    Publication Year: 2012 , Page(s): x
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  • Organizing Committee

    Publication Year: 2012 , Page(s): xi
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  • Program Committee

    Publication Year: 2012 , Page(s): xii - xiii
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  • Reviewers

    Publication Year: 2012 , Page(s): xiv - xv
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  • Knowledge Systems for User Applications and Education

    Publication Year: 2012 , Page(s): 1 - 6
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (673 KB) |  | HTML iconHTML  

    Knowledge-based approach and knowledge-based systems were the object of research in MENTAL project in 2008-2011. Team, in addition to meeting the project objectives, focused on the broader context and further application of the knowledge system (KS), which is presented in the article. KS is listed in Data mining, KS support for Linux distributions and KS, created by students in the classroom. The theoretical basis of the KS is Topic Maps and the technology is software ATOM2. A key activity in developing KS is the creation of ontology. View full abstract»

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  • Cross-Layer Optimization Using Game Theory to Alleviate Unfairness in Wireless Networks

    Publication Year: 2012 , Page(s): 7 - 13
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (205 KB) |  | HTML iconHTML  

    The IEEE 802.11 Distributed Coordination Function (DCF) does not require the presence of a central controller or access point. It is therefore, the standard protocol used for resolving medium access contention in mobile ad hoc networks. IEEE 802.11 DCF is based on carrier sense multiple access with collision avoidance and Binary Exponential Back off Algorithm (BEBA). BEBA can improve the system throughput but increases the capture effect, permitting one node to seize the channel. This is because BEBA inherently favours the last successful node by providing it a smaller contention window after each successful transmission. This unfairness issue at the Medium Access Control (MAC) layer also affects the Transmission Control Protocol (TCP) layer as it leads to the most active connection dominating the shared channel. We have two types of instability issues that arise -- intraflow and interflow instabilities. In this paper, we take a game theory based approach for solving these instability issues that arise as a result of the capture effect. A modified back off mechanism for the DCF game called Optimized Back off Mechanism (OBM), in which nodes adopt smooth dynamics in changing their channel access probabilities by taking into account the actions of the other nodes in the neighborhood has been proposed. To ensure that no particular node gains undue access to the channel, we design the mechanism so as to achieve Nash equilibrium in the neighborhood. A node which unilaterally increases its channel access probability will eventually be penalized and incur a higher payoff. The mechanism will prevent a particular node or flow from dominating the shared channel in the intraflow and interflow scenarios respectively. View full abstract»

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  • TaskCardGenerator^e2c: A Bilingual MRO Task Card Generator for Aviation

    Publication Year: 2012 , Page(s): 14 - 17
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (582 KB) |  | HTML iconHTML  

    In aviation, Maintenance, Repair, and Overhaul (MRO) refers to the actions of fixing an air craft when it becomes out of order, or performing routine actions to keep the air craft in working order. MRO services are carried out strictly under the instruction of corresponding MRO task cards, which detail all the information including work content, procedure, equipment, etc. needed for MRO technicians to complete a MRO service. A task card is usually prepared in a word document. It may contain over a hundred pages, and possibly in multi-languages for international MRO service providers. While English task cards are assumed to be available along with air planes, their multilanguage translation remains a tedious and time-consuming problem. In this paper, we demonstrate an English-Chinese bilingual MRO task card generator system called TaskCardGeneratore2c. Given the work content input by the user, TaskCardGeneratore2c examines the existence of similar bilingual MRO task cards in the local repository, and returns the one to the user directly if it exists, or otherwise, does the English-to-Chinese translation over the corresponding monolingual English task card. The translated bilingual task card will be sent back to the user for final proof. With TaskCardGeneratore2c, human's repetitive time-consuming efforts on bilingual task cards preparation can be greatly reduced, improving the working efficiency and quality of MRO services. A field study was conducted at an international MRO service company to further evaluate TaskCardGenerator. View full abstract»

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  • Divide and Translate Legal Text Sentence by Using Its Logical Structure

    Publication Year: 2012 , Page(s): 18 - 23
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (196 KB) |  | HTML iconHTML  

    Translating legal text is generally considered to be difficult because legal text has some characteristics that make it different from other daily-use documents and legal text is usually long and complicated. In order boost the legal text translation quality, splitting an input sentence becomes mandatory. In this paper, we propose a novel method based on the logical structure of legal text sentence for dividing and translating legal text. We use a statistical learning method-Conditional Random Fields (CRFs) with rich linguistic information to recognize the logical structure of legal text sentence. We adapt the logical structure of legal text sentence to divide the sentence. By doing so, translation quality improves. Our experiments show that our approach can achieve better result for both Japanese-English and English-Japanese legal text translation by BLEU, NIST and TER score. View full abstract»

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  • Creativity Support Tools for Data Triggered Hypothesis Generation

    Publication Year: 2012 , Page(s): 24 - 27
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (282 KB) |  | HTML iconHTML  

    The shift from hypothesis-driven to data-driven science implies new methods for hypothesis generation. Creativity support has to be offered for problem finding based on research data. DataCreativityTools (DCT) is a research & development project building a pilot creativity support tool for the OpEN.SC biomedical data. View full abstract»

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  • The Butterfly Model for Supporting Creative Problem Solving

    Publication Year: 2012 , Page(s): 28 - 34
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (440 KB) |  | HTML iconHTML  

    TRIZ provides a systematic algorithm which can solve problems creatively. The proposed model, namely the Butterfly model, is a tool for creative problem solving. While this is based on TRIZ and H. Simon's model for near-decomposability, our algorithm is simplified to apply to secondary school students and university students. In this paper, we describe how contradictions can be defined for given problems and how we generate an ideal solution of the problems. Based on the definitions of the problems, the Time State, the Space State, or the Partial-Whole State model are applied to inspire the analytic logic with text and creative visual imagination. Finally, we present the outcomes of learning effects of the Butterfly model in terms of the number of registered patents and awards. The secondary school students and university students who had learned the Butterfly model won the awards in the Korean invention competition festivals. And, their 14 outcomes were registered as patents in Korea. The registration rate was 100%. View full abstract»

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  • Lexical Creativity from Word Associations

    Publication Year: 2012 , Page(s): 35 - 42
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (256 KB) |  | HTML iconHTML  

    A fluent ability to associate tasks, concepts, ideas, knowledge and experiences in a relevant way is often considered an important factor of creativity, especially in problem solving. We are interested in providing computational support for discovering such creative associations. In this paper we design minimally supervised methods that can perform well in the remote associates test (RAT), a well-known psychometric measure of creativity. We show that with a large corpus of text and some relatively simple principles, this can be achieved. We then develop methods for a more general word association model that could be used in lexical creativity support systems, and which also could be a small step towards lexical creativity in computers. View full abstract»

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  • Automatic Translation Repair Method for Improving Accuracy of Translated Sentences

    Publication Year: 2012 , Page(s): 43 - 49
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (255 KB) |  | HTML iconHTML  

    In this study, we have developed an automatic translation repair method to automatically improve the accuracy of translations. Machine translation (MT) supports multilingual communication, however, it cannot achieve high accuracy. MT creates only one translated sentence, therefore, it is difficult to improve the accuracy of translated sentences. Our method creates multiple translations by adding personal pronouns to the source sentence and by using a word dictionary and a parallel corpus. In addition, it selects an accurate translation from among the multiple translations using the results of a Web search. As a result, the automatic translation repair method improved the accuracy of translated sentences, and its accuracy is greater than that of MT. View full abstract»

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  • Activity Recognition Using Context-Aware Infrastructure Ontology in Smart Home Domain

    Publication Year: 2012 , Page(s): 50 - 57
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (608 KB) |  | HTML iconHTML  

    Nowadays, activity recognition has been proposed in several researches. It is attractive to improve the ability of the activity recognition system because existing research on activity recognition systems still have an error in an ambiguous cases. In this paper, we introduce the novel technique to improve the activity recognition system in smart home domain. We propose the three contributions in this research. Firstly, we design the context-aware infrastructure ontology for modelling the user's context in the smart home. The innovative data, human posture, is added into the user's context for reducing the ambiguous cases. Secondly, we propose the concepts to distinguish the activities by object-based and location-based concepts. We also present the description logic (DL) rules for making the human activity decision based on our proposed concepts. Lastly, We conduct the Ontology Based Activity Recognition (OBAR) system for two purposes: to recognize the human activity, and to search the semantic information in the system, called semantic ontology search (SOS) system. The results show the system can recognize the human activity correctly and also reduce the ambiguous case. View full abstract»

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  • An Empirical Study on Multi-dimensional Sentiment Analysis from User Service Reviews

    Publication Year: 2012 , Page(s): 58 - 65
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (458 KB) |  | HTML iconHTML  

    Online reviews on a service are important sources for service providers to improve their service delivery and service consumers to obtain information for decision making before their service acquisition. However, in the real situation, there are several points of view (dimensions) in service assessment using online reviews. This paper shows an empirical study to apply classification-based sentiment analysis on online reviews with multiple dimensions using natural language processing techniques. The aim of this study is to find the most influential part-of-speech on the sentimental analysis and the performance of the multi-dimensional classification methods. By the experiments on reviews of restaurants with five dimensions, i.e., taste, environment, service, price, and cleanness, we find out that adjective (JJ) has the most influential part-of-speech on the sentimental analysis and BRplus is the most efficient one with the classification accuracy of 85.89%. View full abstract»

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  • Creativity Improvement by Idea-Marathon Training, Measured by Torrance Tests of Creative Thinking (TTCT) and Its Applications to Laboratories

    Publication Year: 2012 , Page(s): 66 - 72
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (290 KB) |  | HTML iconHTML  

    In Japan, recently many laboratories are adopting Idea-Marathon System (IMS) for creative training of their researchers. It becomes more important how IMS can contribute to improve creativity through the typical IMS training in quantitative analysis. This paper explains analysis of empirical experiment for measuring effect of creativity improvement before and after IMS training method for about a 3 months period, especially for researchers in R&D and laboratories. To confirm the creativity influence to researchers in details, TTCT (Torrance Tests of Creative Thinking) Figural tests were selected. One major food manufacturer's laboratory in Tokyo, Japan offered us the cooperation for this experiment. There are two tests of TTCT Figural tests, i.e. Pre-test and Post-test. This paper describes the statistical analysis result of both Pre-test (Figural A test of TTCT) and the Post-test (Figural B test of TTCT) between which Idea-Marathon training was continued for about three months by all the participants. As the result of analysis between two TTCT tests scoring before and after IMS training for three months, IMS was found significantly effective to improve creative factors proposed in the TTCT test. View full abstract»

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  • Effects of a Semantic Pamphlet for Pictogram Chat on Small Talk between Japanese and Chinese Speakers

    Publication Year: 2012 , Page(s): 73 - 80
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (839 KB) |  | HTML iconHTML  

    This paper presents a method of improving semantic expressions in pictogram chat conversations between Japanese and Chinese speakers, through use of a semantic pamphlet. The semantic pamphlet lists the meanings of 335 pictograms in 12 categories and provides 15 examples of functional statements. In the pictogram chat system, users can look through each pictogram category by clicking a button on the interface. They can also learn how to form sentences by looking the functional statements in the semantic pamphlet. Twelve pairs of Japanese and Chinese speakers participated in the experiment. Each pair engaged in two conversations using the pictogram chat system: one with the help of the pamphlet and one without. The experiment results showed that (1) use of the pictogram pamphlet raised the participants' pictogram comprehension rate, and they made fewer mistakes in communication, (2) use of the pictogram pamphlet increased the participants' use of tense pictograms and reduced their use of noun pictograms, and (3) when participants used the pictogram chat system the second time, they produced longer sentences with more conjunctions. View full abstract»

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  • Feature Selection Based on Audience's Behavior for Information Filtering in Online Social Networks

    Publication Year: 2012 , Page(s): 81 - 88
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (274 KB)  

    Nowadays, online social networks (OSNs) become a part of human life. People use the OSNs for different purposes such as working, entertainment and so on. However, existing OSNs feed too much information into an audience's social network page without recognized the audience's situation or the audience's desire. This problem, called information overload, is a weak point of current OSNs. Our ultimate goal is to change traditional feeding information used in existing OSNs to a new type of feeding information by filtering out inconsistent information with the audience's situation. Therefore, this paper aims to prepare necessary features used in filtering information to get consistent information with the audience's situation. We also study behavior of audience in several aspects by analysis characteristic of post. The result indicates that three features are essential for the audience's decision to allow a post to be displayed on the audience's social network page, which are n1 (topic of post), n0 (audience's current situation), and n2 (type of relationship between audience and creator). Furthermore, other factors such as the number of times which a post is reviewed by the audience, age and, career have an impact on the audience's decision. View full abstract»

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  • The Impact of the Background Knowledge and the Friendship Closeness on the Team Creativity in a Realtime Creativity Support Groupware

    Publication Year: 2012 , Page(s): 89 - 96
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (313 KB) |  | HTML iconHTML  

    Team creativity is a key resource for developing a successful product or service. Creativity support groupware was invented to elevate a team creativity by providing interactive data visualizations, stimulating creative ideas by applying creativity techniques, and breaking communication barriers over the geographic distances and the different time availabilities. Team characteristics, which are the traits of a team combined from the traits of individual members, have strong impacts to the team creativity through a groupware use. The team characteristics can be wisely adjusted for achieving a higher degree of team creativity. This study examined the impacts of team characteristics, i.e., the background knowledge, the difference of background knowledge, the friendship closeness, and the difference of friendship closeness among team members, to the team creativity. Based on the statistic of the 90 KJ charts constructed by 30 innovation teams supported by a KJ Method groupware, the best team formation for the highest team creativity performance consists of team members who have high background knowledge in problems under consideration, and have the same level of friendship regardless the amount of its level. View full abstract»

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  • Practical Improvements of the Technological Idea Production Method Using Patent Knowledge

    Publication Year: 2012 , Page(s): 97 - 103
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (221 KB) |  | HTML iconHTML  

    Technological problems included in many social problems are desired to be solved. We proposed a technological idea production method for making inventions relating to an apparatus in 2011. We tried to improve and disseminate the idea production method in the local society. Attention was directed to ways to acquire relevant knowledge to produce ideas. Experiment results reveal that the idea production method is useful to people as students other than patent professionals. The technological idea production method encouraged participants in our activities in the local society to produce technological ideas. View full abstract»

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