Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business最新文献

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Perceptual factors in knowledge map visual design 知识地图视觉设计中的感性因素

Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business Pub Date : 2015-10-21 DOI: 10.1145/2809563.2809599

T. Gavrilova, A. Alsufyev, M. Gladkova

{"title":"Perceptual factors in knowledge map visual design","authors":"T. Gavrilova, A. Alsufyev, M. Gladkova","doi":"10.1145/2809563.2809599","DOIUrl":"https://doi.org/10.1145/2809563.2809599","url":null,"abstract":"Knowledge visualization is an effective instrument for knowledge creation, acquisition and transfer. Knowledge maps are the most common knowledge visualization techniques, specifically, mind maps. Managers frequently use these instruments in their work for business analytics purposes, but the preparation of such maps must follow several laws in order to make them effective. The goal of the current paper is to develop the methodology and some practical recommendations how to design knowledge maps that can be used for knowledge codification, transfer, sharing and dissemination in companies. The paper also evaluates proposed visualization laws for creating knowledge maps based on the principles of cognitive psychology. The knowledge maps visual design methodology is based on perceptual factors and include the law of pragnanz (the law of good shape) and the law of parsimony (the Ockham's razor principle). The results were obtained through the qualitative analysis of group mind maps of 48 top-managers of Russian companies. We may assert that for the knowledge map to be effective in knowledge codification, transfer, sharing and dissemination in companies it should follow laws of good shape, parsimony and tips related to knowledge maps design. The proposed framework of visualization laws is important for many reasons. It is targeted at the development of methodologies and related technologies that can scaffold the process of knowledge structuring and transfer for managers' business analytics tasks and decision-making. The paper contributes to managerial practice by describing the practical recommendations for effective visual knowledge structuring.","PeriodicalId":20526,"journal":{"name":"Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91528860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Random surfers on a web encyclopedia 网上百科全书的随机冲浪者

Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business Pub Date : 2015-07-16 DOI: 10.1145/2809563.2809598

Florian Geigl, Daniel Lamprecht, R. Hofmann-Wellenhof, Simon Walk, M. Strohmaier, D. Helic

{"title":"Random surfers on a web encyclopedia","authors":"Florian Geigl, Daniel Lamprecht, R. Hofmann-Wellenhof, Simon Walk, M. Strohmaier, D. Helic","doi":"10.1145/2809563.2809598","DOIUrl":"https://doi.org/10.1145/2809563.2809598","url":null,"abstract":"The random surfer model is a frequently used model for simulating user navigation behavior on the Web. Various algorithms, such as PageRank, are based on the assumption that the model represents a good approximation of users browsing a website. However, the way users browse the Web has been drastically altered over the last decade due to the rise of search engines. Hence, new adaptations for the established random surfer model might be required, which better capture and simulate this change in navigation behavior. In this article we compare the classical uniform random surfer to empirical navigation and page access data in a Web Encyclopedia. Our high level contributions are (i) a comparison of stationary distributions of different types of the random surfer to quantify the similarities and differences between those models as well as (ii) new insights into the impact of search engines on traditional user navigation. Our results suggest that the behavior of the random surfer is almost similar to those of users---as long as users do not use search engines. We also find that classical website navigation structures, such as navigation hierarchies or breadcrumbs, only exercise limited influence on user navigation anymore. Rather, a new kind of navigational tools (e.g., recommendation systems) might be needed to better reflect the changes in browsing behavior of existing users.","PeriodicalId":20526,"journal":{"name":"Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89928227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

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