Organisational semiotics is a discipline that is concerned with the interrelationships between individuals and groups, and between humans and technology, functioning in organisations and society. Organisational sem...
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ISBN:
(数字)9781461516552
ISBN:
(纸本)9780792372585;9781461356622
Organisational semiotics is a discipline that is concerned with the interrelationships between individuals and groups, and between humans and technology, functioning in organisations and society. Organisational semiotics opens up the prospect of theory-building and the development of new methods and techniques to gain insights into organised behaviour and enacted social practices, in the presence and absence of various technologies. It shares common interests with many other approaches to information and organisations, such as computerscience, computational semiotics, organisational engineering, and language action perspective. The common vision shared by these approaches is to treat organisations and related informationsystems and technologies within a unified semiotic framework, with particular reference to the huge range of issues that elude many traditional disciplines. The analysis and design of informationsystems develops methods for solving the practical problems but offers no rigorous, theoretical foundation for them or how information functions within and between organisations. The semiotic perspective accommodates the individual and the social, the human and the technical, intra- and inter-organisational interactions, at a level of detail that is required in the study, modelling, design, and engineering of new and alternative organisational and technical systems. This perspective is outlined in the chapter presentations of;.
This book constitutes the refereed proceedings of workshops, held at the 29th International Conference on Conceptual Modeling, ER 2010, in Vancouver, Canada, in November 2010. The 31 revised full papers presented were...
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ISBN:
(数字)9783642163852
ISBN:
(纸本)9783642163845
This book constitutes the refereed proceedings of workshops, held at the 29th International Conference on Conceptual Modeling, ER 2010, in Vancouver, Canada, in November 2010. The 31 revised full papers presented were carefully reviewed and selected from 82 submissions. The papers are organized in sections on the workshops Semantic and Conceptual Issues in GIS (SeCoGIS); Conceptual Modeling of Life sciences Applications (CMLSA); Conceptual Modelling of Services (CMS); Active Conceptual Modeling of Learning (ACM-L); Web informationsystems Modeling (WISM); Domain Engineering (DE@ER); and Foundations and Practices of UML (FP-UML).
This book constitutes the refereed proceedings of the 21st International Conference on Principles and Practice of Multi-Agent systems, PRIMA 2018, held in Tokyo, Japan, in October/November 2018. The 27...
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ISBN:
(数字)9783030030988
ISBN:
(纸本)9783030030971
This book constitutes the refereed proceedings of the 21st International Conference on Principles and Practice of Multi-Agent systems, PRIMA 2018, held in Tokyo, Japan, in October/November 2018. The 27 full papers presented and 31 short papers were carefully reviewed and selected from 103 submissions.;PRIMA presents subjects in many application domains, particularly in e-commerce, and also in planning, logistics, manufacturing, robotics, decision support, transportation, entertainment, emergency relief and disaster management, and data mining and analytics.
This book constitutes the proceedings of the 5th International Conference on Social Informatics, SocInfo 2013, held in Kyoto, Japan, in November 2013. The 23 full papers, 15 short papers and three poster papers includ...
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ISBN:
(数字)9783319032603
ISBN:
(纸本)9783319032597
This book constitutes the proceedings of the 5th International Conference on Social Informatics, SocInfo 2013, held in Kyoto, Japan, in November 2013. The 23 full papers, 15 short papers and three poster papers included in this volume were carefully reviewed and selected from 103 submissions. The papers present original research work on studying the interplay between socially-centric platforms and social phenomena.
The proliferation of misinformation, such as rumors on social media, has drawn significant attention, prompting various expressions of stance among users. Although rumor detection and stance detection are distinct tas...
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The proliferation of misinformation, such as rumors on social media, has drawn significant attention, prompting various expressions of stance among users. Although rumor detection and stance detection are distinct tasks, they can complement each other. Rumors can be identified by cross-referencing stances in related posts, and stances are influenced by the nature of the rumor. However, existing stance detection methods often require post-level stance annotations, which are costly to obtain. We propose a novel LLM-enhanced MIL approach to jointly predict post stance and claim class labels, supervised solely by claim labels, using an undirected microblog propagation model. Our weakly supervised approach relies only on bag-level labels of claim veracity, aligning with multi-instance learning (MIL) principles. To achieve this, we transform the multi-class problem into multiple MIL-based binary classification problems. We then employ a discriminative attention layer to aggregate the outputs from these classifiers into finer-grained classes. Experiments conducted on three rumor datasets and two stance datasets demonstrate the effectiveness of our approach, highlighting strong connections between rumor veracity and expressed stances in responding posts. Our method shows promising performance in joint rumor and stance detection compared to the state-of-the-art methods.
The two-volume set LNAI 7301 and 7302 constitutes the refereed proceedings of the 16th Pacific-Asia Conference on Knowledge Discovery and data Mining, PAKDD 2012, held in Kuala Lumpur, Malaysia, in May 2012. The total...
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ISBN:
(数字)9783642302206
ISBN:
(纸本)9783642302190
The two-volume set LNAI 7301 and 7302 constitutes the refereed proceedings of the 16th Pacific-Asia Conference on Knowledge Discovery and data Mining, PAKDD 2012, held in Kuala Lumpur, Malaysia, in May 2012. The total of 20 revised full papers and 66 revised short papers were carefully reviewed and selected from 241 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas. The papers are organized in topical sections on supervised learning: active, ensemble, rare-class and online; unsupervised learning: clustering, probabilistic modeling in the first volume and on pattern mining: networks, graphs, time-series and outlier detection, and data manipulation: pre-processing and dimension reduction in the second volume.
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