Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business最新文献_第5页

How to select information that matters: a comparative study on active learning strategies for classification 如何选择重要信息:分类主动学习策略的比较研究

Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business Pub Date : 2015-10-21 DOI: 10.1145/2809563.2809594

C. Beyer, G. Krempl, V. Lemaire

引用次数: 10

Ontology-based recommender system for information support in knowledge-intensive processes 知识密集型过程中基于本体的信息支持推荐系统

Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business Pub Date : 2015-10-21 DOI: 10.1145/2809563.2809600

Yordan Terziev, Marian Benner-Wickner, Tobias Brückmann, V. Gruhn

引用次数: 5

Digital and open innovation: implications for business models and research strategies of private and public organizations 数字化和开放式创新:对私营和公共组织的商业模式和研究策略的影响

Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business Pub Date : 2015-10-21 DOI: 10.1145/2809563.2809609

K. Leitner

引用次数: 2

Aggregated parallel coordinates: integrating hierarchical dimensions into parallel coordinates visualisations 聚合平行坐标:将层次维度整合到平行坐标可视化中

Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business Pub Date : 2015-10-21 DOI: 10.1145/2809563.2809588

K. Andrews, Majda Osmic, Gerhard Schagerl

{"title":"Aggregated parallel coordinates: integrating hierarchical dimensions into parallel coordinates visualisations","authors":"K. Andrews, Majda Osmic, Gerhard Schagerl","doi":"10.1145/2809563.2809588","DOIUrl":"https://doi.org/10.1145/2809563.2809588","url":null,"abstract":"Aggregated Parallel Coordinates (APC) are an extension of standard parallel coordinates, which supports the visualisation and exploration of hierarchies within numerical dimensions. Such datasets can occur when data is available at several granularities and these can be grouped or aggregated in some way (mean, sum, max) to form higher levels of abstraction. While existing parallel coordinates techniques can be used to visualise individual dimensions of such data, they have no provision for interactively expanding and collapsing such hierarchically aggregated dimensions. In race car engineering, specialised simulation software is used to derive a car setup for optimal performance during a race. Such simulations generate complex, high-dimensional datasets with a large number of records, many of which are inherently hierarchically grouped. The APC software was implemented in C♯ as a Microsoft WPF user control library. It has been integrated into AVL's data visualisation tool called SimBook and is being used to explore the output of race car simulations.","PeriodicalId":20526,"journal":{"name":"Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business","volume":"45 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79459989","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: 11

ICT and science 2.0: technology-mediated trends and characteristics of new scientific practices 信息和通信技术与科学2.0:新科学实践的技术中介趋势和特征

Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business Pub Date : 2015-10-21 DOI: 10.1145/2809563.2809590

Eric Prem

引用次数: 1

Collaborative writing in the context of science 2.0 科学2.0背景下的合作写作

Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business Pub Date : 2015-10-21 DOI: 10.1145/2809563.2809581

Kaja Scheliga

{"title":"Collaborative writing in the context of science 2.0","authors":"Kaja Scheliga","doi":"10.1145/2809563.2809581","DOIUrl":"https://doi.org/10.1145/2809563.2809581","url":null,"abstract":"The increasing number of co-authored academic papers points to the importance of collaborative writing in contemporary research. Digital technologies add a new dimension to collaborative writing by providing co-authors with access to the same document and enabling co-authors to edit the shared text at the same time. The availability of web-based tools for collaborative writing prompts the question of the extent to which researchers incorporate these tools into their scholarly practices. Based on my statistical analysis of the data from the Science 2.0 Survey (2014), conducted in cooperation with the Leibniz Research Alliance Science 2.0, I examine the usage of digital technologies in the process of collaborative writing among researchers in Germany. I use the concepts of asynchronous and synchronous modes of writing, derived from the field of Computer Supported Cooperative Work, to discuss collaborative writing strategies in the context of Science 2.0. My study shows that researchers use a mixture of different writing strategies and that they tend to use the same tool for different writing strategies. Moreover, I discuss researchers' attitudes towards online text editors. In reflecting on collaborative writing, I consider both the technological and social aspects.","PeriodicalId":20526,"journal":{"name":"Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business","volume":"46 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75030270","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: 2

Influence of time on user profiling and recommending researchers in social media 时间对社交媒体用户概况和推荐研究人员的影响

Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business Pub Date : 2015-10-21 DOI: 10.1145/2809563.2809601

Chifumi Nishioka, Gregor Große-Bölting, A. Scherp

{"title":"Influence of time on user profiling and recommending researchers in social media","authors":"Chifumi Nishioka, Gregor Große-Bölting, A. Scherp","doi":"10.1145/2809563.2809601","DOIUrl":"https://doi.org/10.1145/2809563.2809601","url":null,"abstract":"We conduct two experiments to compare different scoring functions for extracted user interests and measure the influence of using older data. We apply our experiments in the domains of computer science and medicine. The first experiment assesses similarity scores between a user's social media profile and a corresponding user's publication profile, in order to evaluate to which extend a user's social media profile reflects his or her professional interests. The second experiment recommends related researchers profiled by their publications based on a user's social media profile. The result revealed that while the functions using spreading activation produce large similarity scores between a user profile and publication profile, the scoring functions with statistical methods (e.g., an extension of BM25 with spreading activation) perform best for recommendation. In terms of the temporal influence, the older data have almost no influence on the performance in the medicine dataset. However, in the computer science dataset, while there is a positive influence in the first experiment, the second experiment demonstrated a negative influence when adding too old data.","PeriodicalId":20526,"journal":{"name":"Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74805406","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: 12

Processing manufacturing knowledge with ontology-based annotations and cognitive architectures 使用基于本体的注释和认知架构处理制造知识

Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business Pub Date : 2015-10-21 DOI: 10.1145/2809563.2809576

Rebekka Alm, Mario Aehnelt, B. Urban

引用次数: 13

Business process oriented learning: a collaborative approach of organisational learning 面向业务流程的学习:组织学习的协作方法

Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business Pub Date : 2015-10-21 DOI: 10.1145/2809563.2809578

R. Woitsch, Nesat Efendioglu

引用次数: 3

Collaborative process maturing support by mining activity streams 通过挖掘活动流来支持协作过程的成熟

Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business Pub Date : 2015-10-21 DOI: 10.1145/2809563.2809583

Christian Ochsenkühn, R. Peinl

{"title":"Collaborative process maturing support by mining activity streams","authors":"Christian Ochsenkühn, R. Peinl","doi":"10.1145/2809563.2809583","DOIUrl":"https://doi.org/10.1145/2809563.2809583","url":null,"abstract":"Usually, knowledge workers are said to not benefit from business process management (BPM) systems, since their main tasks are weakly structured and not representable by a workflow. However, not all of their tasks are equally weak structured, and with adaptive case management (ACM) solutions, a new category of tools came up to support those processes, even if they are weakly structured. This paper introduces an approach to support the creation of cases for ACM engines by mining activities from an activity stream and suggesting tasks that a knowledge worker can use to create a case. Furthermore, the approach supports maturing of the case towards a workflow by detecting repeating sequences in the execution of tasks and suggesting sub processes for the case which is possible with the case management model and notation (CMMN) together with the business process model and notation (BPMN). To allow for further enhancement of the cases, the ACM solution is extended with social collaboration features, so that people working on the case can comment and rate single tasks. The goal is to show that it is possible to establish ties from social activities and Web 2.0 to ACM and BPM. The presented solution uses a graph database as a basis for activity mining.","PeriodicalId":20526,"journal":{"name":"Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82380206","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: 1