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Managing General and Individual Knowledge in Crowd Mining Applications

Yael Amsterdamer, Susan B. Davidson, Anna Kukliansky, Tova Milo, Slava Novgorodov, Amit Somech
2015 Conference on Innovative Data Systems Research  
In this paper, we describe a generic architecture for crowd mining applications.  ...  Crowd mining frameworks combine general knowledge, which can refer to an ontology or information in a database, with individual knowledge obtained from the crowd, which captures habits and preferences.  ...  This work has been partially funded by the European Research Council under the FP7, ERC grant MoDaS, agreement 291071, by the NSF grant IIS-1302212 and by the Israel Ministry of Science.  ... 
dblp:conf/cidr/AmsterdamerDKMN15 fatcat:e4f2cmx7zvhdjcrh6pec4uylya

The Theory of Crowd Capital [article]

John Prpic, Prashant Shukla
2012 arXiv   pre-print
with the dispersed knowledge of individuals (the Crowd).  ...  We present a model of Crowd Capital generation in organizations and discuss the implications of Crowd Capital on organizational boundary and on IS research.  ...  , and the engagement and generation of dispersed knowledge through Crowd Capability.  ... 
arXiv:1210.2013v1 fatcat:2io47ee2qfenrop3772f22wedm

A landscape of crowd-management support: An integrative approach

Nanda Wijermans, Claudine Conrado, Maarten van Steen, Claudio Martella, Jie Li
2016 Safety Science  
Of the many crowd behavior models, very few have been used in assisting crowd management practice.  ...  This lack of usage is partly due to crowd management involving a diversity of situations that require competencies in observing, sense-making, anticipating and acting.  ...  We would like to thank Otto Adang and Frithjof Stöppler for their valuable feedback on earlier versions of this paper.  ... 
doi:10.1016/j.ssci.2016.02.027 fatcat:li6a4eznongo5lrpoh7gx3xexe

The Theory of Crowd Capital

John Prpic, Prashant Shukla
2013 2013 46th Hawaii International Conference on System Sciences  
with the dispersed knowledge of individuals -the Crowd.  ...  We present a model of Crowd Capital generation in organizations and discuss the implications of Crowd Capital on organizational boundary and on IS research.  ...  of individuals in the crowd itself.  ... 
doi:10.1109/hicss.2013.545 dblp:conf/hicss/PrpicS13 fatcat:bjhtvxi5yrhybezh5wq662v7c4

Brief survey of crowdsourcing for data mining

Guo Xintong, Wang Hongzhi, Yangqiu Song, Gao Hong
2014 Expert systems with applications  
Then we highlight several exemplar works in each component of the framework, including question designing, data mining and quality control.  ...  Traditional data mining methods often require the experts in analytic domains to annotate the data. However, it is expensive and usually takes a long time.  ...  Section 1 provides a general framework for crowd mining. Section 2 tells how to design a task for data mining.  ... 
doi:10.1016/j.eswa.2014.06.044 fatcat:ralo3tmglnat5jncasbz7jnye4

Crowdsourcing Tools for Disaster Management: A Review of Platforms and Methods [chapter]

Marta Poblet, Esteban García-Cuesta, Pompeu Casanovas
2014 Lecture Notes in Computer Science  
This paper reviews a set of online tools and platforms implemented in recent years which are currently being applied in the area of emergency management and proposes a taxonomy for its categorization.  ...  The identification and analysis of such events is not straightforward and the application of crowdsourcing methods or automatic tools is needed for that purpose.  ...  2012-0968-390000) and "Crowsourcing: instrumentos semánticos para el desarrollo de la participación y la mediación online (DER 2012-39492 -C02 -01)".  ... 
doi:10.1007/978-3-662-45960-7_19 fatcat:kdfibzp5gfb4vi62qttw6bawlu

Crowd Intelligence in Requirements Engineering: Current Status and Future Directions [chapter]

Javed Ali Khan, Lin Liu, Lijie Wen, Raian Ali
2019 Lecture Notes in Computer Science  
Based on the survey, we propose a general research map and suggest the possible future roles of crowd intelligence in requirements engineering.  ...  Software systems are the joint creative products of multiple stakeholders, including both designers and users, based on their perception, knowledge and personal preferences of the application context.  ...  When we analyse them and seek for creative ideas, we let the knowledge build up and form a continuation to better quality and better user experience by tracking and knowledge management tools [17, 18]  ... 
doi:10.1007/978-3-030-15538-4_18 fatcat:nejw4qltjva7lgv2nvsbzp7ouy

Vessel Crowd Movement Pattern Mining for Maritime Traffic Management

Rong Wen, Wenjing Yan
2019 LOGI  
In this paper, we describe a spatio-temporal data mining method to discover crowd movement patterns of vessels from their short-term history data.  ...  However, current maritime traffic management mainly relies on the massive individual vessel's data for decision making.  ...  in Supply Chain (U18-O-025SU).  ... 
doi:10.2478/logi-2019-0020 fatcat:5r2tlo2j4vb7piqddib4v4eddi

The crowdsourcing data for innovation

Zainal Ilmi, Adi Wijaya, Jati Kasuma, Dio Caisar Darma
2020 European Journal of Management Issues  
Crowdsourcing outsources tasks conventionally performed in-house to a crowd and uses external knowledge to solve problems and democratize innovation.  ...  Social media is often employed in crowdsourcing for a crowd to create and share knowledge. Originality/value/scientific novelty of the research.  ...  However, the presentation form of crowd knowledge, the solutions generated by the crowd and processed by computational means in this study, still needs to be explored .  ... 
doi:10.15421/192001 fatcat:fvycwhjyx5btppzesxsae3zgx4

What's the problem? How crowdsourcing and text‐mining may contribute to the understanding of unprecedented problems such as COVID‐19

Julian Wahl, Johann Füller, Katja Hutter
2022 R & D Management  
In this research, we explore how crowdsourcing combined with text-mining can help to build a sound understanding of unstructured, complex and ill-defined problems.  ...  While our study confirms that crowdsourcing and text-mining facilitate fast generation and exploration of problem spaces at limited cost, it also reveals the necessity to follow certain process steps and  ...  Reaching out to external knowledge sources in the crowd facilitates a faster grasp on diverse perspectives as well as the generation of a multifaceted problem space.  ... 
doi:10.1111/radm.12526 fatcat:clqqdcd6urainpighkvxpruyqi

Crowd-Powered Data Mining [article]

Chengliang Chai, Ju Fan, Guoliang Li, Jiannan Wang, Yudian Zheng
2018 arXiv   pre-print
In this tutorial, we will survey and synthesize a wide spectrum of existing studies on crowd-powered data mining.  ...  learning) and knowledge discovery.  ...  Crowd Mining.  ... 
arXiv:1806.04968v2 fatcat:b57ht5gmzzhd7dimwsyenzp4yq

From Participatory Sensing to Mobile Crowd Sensing [article]

Bin Guo, Zhiwen Yu, Daqing Zhang, Xingshe Zhou
2014 arXiv   pre-print
popular in recent years.  ...  With the development of mobile sensing and mobile Internet techniques, a new sensing paradigm called Mobile Crowd Sensing (MCS), which leverages the power of citizens for large-scale sensing has become  ...  Second, investigation of formal models and design patterns for crowd computing systems should be studied, which may make use of multi-disciplinary knowledge, including social science, management, computer  ... 
arXiv:1401.3090v1 fatcat:zrvj4jouhbhpbcsgywzx7nokoa

A framework for cyber surveillance of unlawful activities for critical infrastructure using computational grids

Vaclav Snasel, Ajith Abraham, Khalid Saeed, Hameed Al-Qaheri
2010 2010 Sixth International Conference on Information Assurance and Security  
The framework uses a computational grid based environment, which is capable of distributed data mining and real time surveillance.  ...  In Figure 2 (b), the knowledge from the individual descriptors are passed to the neighboring data-mining algorithm and finally the meta-knowledge is obtained from the n th descriptor.  ...  Another alternative is to cooperate between the different data-mining tasks and combine the individual descriptor knowledge or as illustrated in Figure 2 (c).  ... 
doi:10.1109/isias.2010.5604080 dblp:conf/IEEEias/SnaselASA10 fatcat:ayiumpybnfevjfmjt7x7yxlkx4

A Web Mining Based Measurement and Monitoring Model of Urban Mass Panic in Emergency Management

Minglu Li, An Chen
2008 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery  
A framework including information retrieval, data mining, and area knowledge analysis is presented.  ...  Fifth International Conference on Fuzzy Systems and Knowledge Discovery 978-0-7695-3305-6/08 $25.00  ...  Acknowledgment This research is supported by Head Fund of Institute of Policy and Management: Mechanism of urban mass panic, web mining based measurement-monitoring model and supporting system and a cooperation  ... 
doi:10.1109/fskd.2008.495 dblp:conf/fskd/LiC08a fatcat:25pkqqyllzbdbctglrdgern3dm

Mining and Quality Assessment of Mashup Model Patterns with the Crowd

Carlos Rodríguez, Florian Daniel, Fabio Casati
2016 ACM Transactions on Internet Technology  
The problem is relevant in general to model-driven development (e.g., UML, business processes, scientific workflows), in that reusable model patterns encode valuable modeling and domain knowledge, such  ...  Pattern mining, that is, the automated discovery of patterns from data, is a mathematically complex and computationally demanding problem that is generally not manageable by humans.  ...  ACKNOWLEDGMENT This research was supported by the project "Evaluation and Enhancement of Social, Economic, and Emotional Wellbeing of Older Adults" under agreement no. 14.Z50.310029, Tomsk Polytechnic  ... 
doi:10.1145/2903138 fatcat:x4e7eifucneupjfehhf6l7gkzy
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