Pub Date : 2017-11-01DOI: 10.1007/978-3-030-15640-4_15
Matthias T. Frank, Stefan Zander
{"title":"The Linked Data Wiki: Leveraging Organizational Knowledge Bases with Linked Open Data","authors":"Matthias T. Frank, Stefan Zander","doi":"10.1007/978-3-030-15640-4_15","DOIUrl":"https://doi.org/10.1007/978-3-030-15640-4_15","url":null,"abstract":"","PeriodicalId":133533,"journal":{"name":"International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134094281","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}
Pub Date : 2017-11-01DOI: 10.1007/978-3-030-15640-4_13
A. Horzyk
{"title":"Associative Representation and Processing of Databases Using DASNG and AVB+trees for Efficient Data Access","authors":"A. Horzyk","doi":"10.1007/978-3-030-15640-4_13","DOIUrl":"https://doi.org/10.1007/978-3-030-15640-4_13","url":null,"abstract":"","PeriodicalId":133533,"journal":{"name":"International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123144347","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}
Pub Date : 2017-11-01DOI: 10.1007/978-3-030-15640-4_11
Ahmed R. Sadik, B. Urban
{"title":"Ontology in Holonic Cooperative Manufacturing: A Solution to Share and Exchange the Knowledge","authors":"Ahmed R. Sadik, B. Urban","doi":"10.1007/978-3-030-15640-4_11","DOIUrl":"https://doi.org/10.1007/978-3-030-15640-4_11","url":null,"abstract":"","PeriodicalId":133533,"journal":{"name":"International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134486667","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}
Pub Date : 2017-11-01DOI: 10.1007/978-3-030-15640-4_3
A. Alshehri, Frans Coenen, Danushka Bollegala
{"title":"Behavioural Biometric Continuous User Authentication Using Multivariate Keystroke Streams in the Spectral Domain","authors":"A. Alshehri, Frans Coenen, Danushka Bollegala","doi":"10.1007/978-3-030-15640-4_3","DOIUrl":"https://doi.org/10.1007/978-3-030-15640-4_3","url":null,"abstract":"","PeriodicalId":133533,"journal":{"name":"International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","volume":"222 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132681864","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}
Pub Date : 2017-11-01DOI: 10.1007/978-3-030-15640-4_9
A. Timofeyev, Ben Choi
{"title":"Knowledge Based System for Composing Sentences to Summarize Documents","authors":"A. Timofeyev, Ben Choi","doi":"10.1007/978-3-030-15640-4_9","DOIUrl":"https://doi.org/10.1007/978-3-030-15640-4_9","url":null,"abstract":"","PeriodicalId":133533,"journal":{"name":"International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122804489","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}
Pub Date : 2017-01-01DOI: 10.5220/0006487900290040
Christian Riera, J. Iijima
Aiming to address the increasing focus on digital technologies and the continuous concern of Knowledge Management (KM) performance, this study explores the relationship between 'Knowledge Creating Capabilities', 'IT business value' and 'Digital business value'. The latter two concepts are re-defined as the achievement of business objectives by the use of IT or digital technologies in a balanced scorecard approach. The concepts of 'Knowledge Creating Capabilities' and 'Balanced SECI' are leveraged. Balanced SECI (Riera, Senoo and Iijima, 2009) refers to the balance of the four knowledge creation processes from Nonaka and Takeuchi’s SECI model (1995). This framework is applied to Japanese small and medium enterprises. A positive relationship between the achievement of business objectives by IT and the achievement using digital technologies was verified. On the other hand, although a relationship of 'Balanced SECI' with 'IT Business Value' or 'Digital Business Value' was not statistically significant; the observations showed that higher levels of 'Balanced SECI' were negatively related to the achievement of Financial, Customer and Business Processes types of business objectives and; positively related to Learning & Growth. Analysis from each SECI process confirmed such behaviour.
为了解决对数字技术的日益关注和对知识管理(KM)绩效的持续关注，本研究探讨了“知识创造能力”、“IT业务价值”和“数字业务价值”之间的关系。后两个概念被重新定义为通过在平衡计分卡方法中使用IT或数字技术来实现业务目标。“知识创造能力”和“平衡SECI”的概念得到了利用。平衡SECI (Riera, Senoo and Iijima, 2009)是指Nonaka和Takeuchi(1995)的SECI模型中四个知识创造过程的平衡。这一框架适用于日本中小企业。利用信息技术实现业务目标与利用数字技术实现业务目标之间存在正相关关系。另一方面，虽然“平衡SECI”与“IT业务价值”或“数字业务价值”的关系在统计上不显著;观察结果表明，较高水平的“平衡SECI”与实现财务、客户和业务流程类型的业务目标和负相关;与学习和成长正相关。对每个SECI过程的分析证实了这种行为。
{"title":"Linking Knowledge Creating Capabilities, IT Business Value and Digital Business Value: An Exploratory Study in Japanese SMEs","authors":"Christian Riera, J. Iijima","doi":"10.5220/0006487900290040","DOIUrl":"https://doi.org/10.5220/0006487900290040","url":null,"abstract":"Aiming to address the increasing focus on digital technologies and the continuous concern of Knowledge Management (KM) performance, this study explores the relationship between 'Knowledge Creating Capabilities', 'IT business value' and 'Digital business value'. The latter two concepts are re-defined as the achievement of business objectives by the use of IT or digital technologies in a balanced scorecard approach. The concepts of 'Knowledge Creating Capabilities' and 'Balanced SECI' are leveraged. Balanced SECI (Riera, Senoo and Iijima, 2009) refers to the balance of the four knowledge creation processes from Nonaka and Takeuchi’s SECI model (1995). This framework is applied to Japanese small and medium enterprises. A positive relationship between the achievement of business objectives by IT and the achievement using digital technologies was verified. On the other hand, although a relationship of 'Balanced SECI' with 'IT Business Value' or 'Digital Business Value' was not statistically significant; the observations showed that higher levels of 'Balanced SECI' were negatively related to the achievement of Financial, Customer and Business Processes types of business objectives and; positively related to Learning & Growth. Analysis from each SECI process confirmed such behaviour.","PeriodicalId":133533,"journal":{"name":"International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134102960","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}
Pub Date : 2016-12-02DOI: 10.5220/0003639501580166
N. Gronau, Edzard Weber, P. Heinze
Knowledge is bound to person. It originates in persons and is used by persons. Knowledge can be based on data and information. It also represents a combination of classified experiences, values, context and expertise, which provides a framework for the evaluation of these experiences and information. Consolidated knowledge from multiple persons can, however, result in false outcomes, especially when values are transformed into metrics. Due to the occurring aggregation, particular information about personspecific differences in determining the overall assessment of a community is lost. Two similar assessments can be based on entirely different single evaluations, expertises or totalities. Hence, the assessment regarding their quality, balance and stability should be performed differently. Metrics about the initial data basis are necessary in order to provide interpretation aid. This paper introduces the meta-metrics for the interpretation of collaborative decision makings in communities of practice.
{"title":"Interpretation of Collaborative Decisions by Meta-metrics","authors":"N. Gronau, Edzard Weber, P. Heinze","doi":"10.5220/0003639501580166","DOIUrl":"https://doi.org/10.5220/0003639501580166","url":null,"abstract":"Knowledge is bound to person. It originates in persons and is used by persons. Knowledge can be based on data and information. It also represents a combination of classified experiences, values, context and expertise, which provides a framework for the evaluation of these experiences and information. Consolidated knowledge from multiple persons can, however, result in false outcomes, especially when values are transformed into metrics. Due to the occurring aggregation, particular information about personspecific differences in determining the overall assessment of a community is lost. Two similar assessments can be based on entirely different single evaluations, expertises or totalities. Hence, the assessment regarding their quality, balance and stability should be performed differently. Metrics about the initial data basis are necessary in order to provide interpretation aid. This paper introduces the meta-metrics for the interpretation of collaborative decision makings in communities of practice.","PeriodicalId":133533,"journal":{"name":"International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128511686","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}
Pub Date : 2016-11-23DOI: 10.5220/0004107000990106
V. Martins, J. Costa, Rafael Timóteo de Sousa Júnior
Business Intelligence (BI) refers to a set of methodologies, methods, tools and software that are used in order to provide system solutions to support information analysis. The specifications and development of these system solutions are still limited to specific domain tables. Furthermore, in conventional BI solutions, it is necessary to promote massive data loads provided by other organizations in local repositories. Such massive loads can make the information not available on-time or cause errors due to misinterpreting received data. In this paper, we propose a systemic architecture that seeks solutions to these limitations. The architecture is based on a centralized ontology repository and uses distributed data services to provide data to generic analytical queries.
{"title":"Architecture of a Collaborative Business Intelligence Environment based on an Ontology Repository and Distributed Data Services","authors":"V. Martins, J. Costa, Rafael Timóteo de Sousa Júnior","doi":"10.5220/0004107000990106","DOIUrl":"https://doi.org/10.5220/0004107000990106","url":null,"abstract":"Business Intelligence (BI) refers to a set of methodologies, methods, tools and software that are used in order to provide system solutions to support information analysis. The specifications and development of these system solutions are still limited to specific domain tables. Furthermore, in conventional BI solutions, it is necessary to promote massive data loads provided by other organizations in local repositories. Such massive loads can make the information not available on-time or cause errors due to misinterpreting received data. In this paper, we propose a systemic architecture that seeks solutions to these limitations. The architecture is based on a centralized ontology repository and uses distributed data services to provide data to generic analytical queries.","PeriodicalId":133533,"journal":{"name":"International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125783055","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}
Pub Date : 2016-11-20DOI: 10.5220/0004170102290234
R. Vaiyavuth
Climate change has increasingly impacted businesses both on their growths and a risk of sustainability. The energy sector has been the main contributor of carbon emissions to the atmosphere, accounting for 66.5 percent of total world emissions (Herzog, 2009). As a consequence, the energy sector will be a focus of international scrutiny and strategy of emission reduction. With the recent controversial concerns in global warming issue, various mitigation and adaptation technologies, measures, and strategies, have been undergoing proposed and implemented since the early 2000s. Such activities require a usage of both internal and external knowledge in developing those innovations to be launched consistently and successfully. Several researchers have identified that relying on closed innovation system to create innovation is insufficient and no longer sustainable for a knowledge intensive sector in particular. The open innovation model, proposed by Henry Chesbrough in 2003, has been frequently applied to offer a more effective approach in generating innovation by using internal and external knowledge. There is, however, a lack of indepth research carrying on the issue of how one could efficiently implement open innovation to address the certain challenge, especially in energy sector which are now encountering the challenge of climate change. The purpose of this research is to develop an open innovation model that can assist in adopting open innovation process in Thai energy sector with a view to combating with climate change concern. The study also aim to assess the impact of the integration of open innovation approaches within Thai energy sector through its appreciation level of the related stakeholder with a view to suggest policy implications for energy sector in contesting with a controversial climate change concern in the future. While this research focuses on energy sector in Thailand, its findings should be relevant for other countries that are in the process of combating with climate change concern.
{"title":"How Open Innovation Models Might Help the Thai Energy Sector to Address the Climate Change Challenge? - A Conceptual Framework on an Approach to Measure the Impact of Adoption of Open Innovation","authors":"R. Vaiyavuth","doi":"10.5220/0004170102290234","DOIUrl":"https://doi.org/10.5220/0004170102290234","url":null,"abstract":"Climate change has increasingly impacted businesses both on their growths and a risk of sustainability. The energy sector has been the main contributor of carbon emissions to the atmosphere, accounting for 66.5 percent of total world emissions (Herzog, 2009). As a consequence, the energy sector will be a focus of international scrutiny and strategy of emission reduction. With the recent controversial concerns in global warming issue, various mitigation and adaptation technologies, measures, and strategies, have been undergoing proposed and implemented since the early 2000s. Such activities require a usage of both internal and external knowledge in developing those innovations to be launched consistently and successfully. Several researchers have identified that relying on closed innovation system to create innovation is insufficient and no longer sustainable for a knowledge intensive sector in particular. The open innovation model, proposed by Henry Chesbrough in 2003, has been frequently applied to offer a more effective approach in generating innovation by using internal and external knowledge. There is, however, a lack of indepth research carrying on the issue of how one could efficiently implement open innovation to address the certain challenge, especially in energy sector which are now encountering the challenge of climate change. The purpose of this research is to develop an open innovation model that can assist in adopting open innovation process in Thai energy sector with a view to combating with climate change concern. The study also aim to assess the impact of the integration of open innovation approaches within Thai energy sector through its appreciation level of the related stakeholder with a view to suggest policy implications for energy sector in contesting with a controversial climate change concern in the future. While this research focuses on energy sector in Thailand, its findings should be relevant for other countries that are in the process of combating with climate change concern.","PeriodicalId":133533,"journal":{"name":"International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121487326","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}
Pub Date : 2016-11-20DOI: 10.5220/0003621102870293
M. Jurczyk-Bunkowska, Krzysztof Jungowski
The article focuses on knowledge management system (KMS) as a support in innovation management. It presents one aspect of the research carried out in NetLine Group, a Polish IT company. IT market is highly competitive and constantly changing, often rapidly and unpredictably. For this reason, the company's development strategy must be directed at the implementation of the idea of 'continuous innovation'. An original approach to innovation management process, based on Theory of Constraints has been proposed in order to implement this strategy. This approach provides a conceptual base for the elements, which are constitutive of the system of innovation management. One of them is the KMS, which relates to this article. Based on the experience of NetLine Company, the importance of KMS in the context of problems of innovation management is pointed out. Assumptions and concept of KMS development in an innovation area was defined. Article also highlights the expected benefits of the implementation of KMS and identifies potential threats associated with it.
{"title":"Perspectives of Knowledge Management System Application in Innovation Processes - A Study based on Experience of Polish IT Company","authors":"M. Jurczyk-Bunkowska, Krzysztof Jungowski","doi":"10.5220/0003621102870293","DOIUrl":"https://doi.org/10.5220/0003621102870293","url":null,"abstract":"The article focuses on knowledge management system (KMS) as a support in innovation management. It presents one aspect of the research carried out in NetLine Group, a Polish IT company. IT market is highly competitive and constantly changing, often rapidly and unpredictably. For this reason, the company's development strategy must be directed at the implementation of the idea of 'continuous innovation'. An original approach to innovation management process, based on Theory of Constraints has been proposed in order to implement this strategy. This approach provides a conceptual base for the elements, which are constitutive of the system of innovation management. One of them is the KMS, which relates to this article. Based on the experience of NetLine Company, the importance of KMS in the context of problems of innovation management is pointed out. Assumptions and concept of KMS development in an innovation area was defined. Article also highlights the expected benefits of the implementation of KMS and identifies potential threats associated with it.","PeriodicalId":133533,"journal":{"name":"International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121627487","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}
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