Relevant bibliographies by topics / Collaborative knowledge

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Collaborative knowledge'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "Collaborative knowledge"

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Yousef, Mohammed, and Cesar Alberto Collazos. "Collaborative strategies supporting knowledge management in organizations." Revista Colombiana de Computación 21, no. 2 (December 1, 2020): 6–12. http://dx.doi.org/10.29375/25392115.4026.

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Significant work has addressed the role of knowledge and its impacts on business organizations. The construction of effective environments implies time and cost pressure, allowing staff to seek immediate solutions from knowledge management (KM). Some studies have shown that collaborative knowledge generation through storage, access, dissemination, and application could help organizations collaborate with partner firms to share supply chain knowledge and improve their work. However, it is not clear how to structure activities that convey real collaboration. In that way, this paper proposes a mechanism using collaborative strategies supporting effective transfer knowledge in different kinds of organizations.
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Krkovic, Katarina, Sascha Wüstenberg, and Samuel Greiff. "Assessing Collaborative Behavior in Students." European Journal of Psychological Assessment 32, no. 1 (January 2016): 52–60. http://dx.doi.org/10.1027/1015-5759/a000329.

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Abstract. Skilful collaborative problem-solving is becoming increasingly important in various life areas. However, researchers are still seeking ways to assess and foster this skill in individuals. In this study, we developed a computer-assisted assessment for collaborative behavior (COLBAS) following the experiment-based assessment of behavior approach (objective personality tests; Cattell, 1958 ). The instrument captures participants’ collaborative behavior in problem-solving tasks using the MicroDYN approach while participants work collaboratively with a computer-agent. COLBAS can thereby assess problem-solving and collaborative behavior expressed through communication acts. To investigate its validity, we administered COLBAS to 483 German seventh graders along with MicroDYN as a measure of individual problem-solving skills and questions regarding the motivation to collaborate. A latent confirmatory factor analysis suggested a five-dimensional construct with two problem-solving dimensions (knowledge acquisition and knowledge application) and three collaboration dimensions (questioning, asserting, and requesting). The results showed that extending MicroDYN to include collaborative aspects did not considerably change the measurement of problem-solving. Finally, students who were more motivated to collaborate interacted more with the computer-agent but also obtained worse problem-solving results.
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Thagard, Paul. "Collaborative Knowledge." Nous 31, no. 2 (June 1997): 242–61. http://dx.doi.org/10.1111/0029-4624.00044.

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Staykova, Gergana, and Jason Underwood. "Assessing collaborative performance on construction projects through knowledge exchange." Engineering, Construction and Architectural Management 24, no. 6 (November 20, 2017): 968–87. http://dx.doi.org/10.1108/ecam-08-2016-0179.

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Purpose How knowledge exchange (KE) can be used for the continuous assessment and improvement of collaborative performance of project-based organisations in construction is explored. Collaboration on construction projects must be facilitated by people alongside practice of continuous performance assessment and improvement. Currently available assessment tools fail to explicitly define appropriate behaviours and actions due to a poor understanding of what it means for people to collaborate. In contrast, it is established that KE is the focus of collaborative efforts on construction projects; therefore, as most knowledge resides with people, it represents their role in collaboration. The paper aims to discuss these issues. Design/methodology/approach Through a phenomenological/interpretivist and qualitative methodology, how KE can be used for the continuous assessment and improvement of collaborative performance in project-based organisations in construction is explored. A single case study of a UK rail strategic alliance was adopted and six semi-structured interviews were conducted and analysed through a thematic analysis. Findings An assessment tool is proposed based on a set of 20 characteristics of KE, divided into seven categories and linked to indicators of collaboration. The tool can be applied to highly collaborative projects where BIM and Lean are implemented, and project participants are collocated. By measuring their performance against the set criteria, project teams can assess which of their behaviours and actions are inappropriate, and focus their efforts on correcting them. Originality/value Defining the abstract indicators traditionally used to assess collaboration in terms of characteristics pertinent to day-to-day communication amongst participants on collaborative projects to facilitate the continuous assessment and improvement of collaborative performance.
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Chen, Haohui, and Ian D. Bishop. "Collaborative Environmental Knowledge Management." International Journal of E-Planning Research 2, no. 1 (January 2013): 58–81. http://dx.doi.org/10.4018/ijepr.2013010104.

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This article describes the integration of a smartphone, a world viewer and a geodatabase into a collaborative virtual environment (CVE) as a knowledge management platform for use in land management. A spatial interoperability mechanism was designed for integration of these various technologies distributed in different system layers and written in different programming languages. As users may vary in their education backgrounds and understanding of advanced information technologies, the proposed platform employs existing popular spatial technologies to facilitate usage. The platform includes an iPhone™ application, a web portal based on Google Earth™ viewer and a data server, all of which may be deployed in different and distant places, allowing remote collaboration. To evaluate the usability of the platform, a case study was implemented involving a scientist, a farmer and an agricultural consultant working collaboratively, but remotely, within the system to support their farming practices, decision-making and agricultural research. Users found that the efficiency of agricultural knowledge transfer was increased, and the centralized knowledge database would also be helpful for tracking farming history and supporting agricultural research. This represents a new paradigm in agricultural knowledge management, where relationships between the three key parties are bidirectional, in contrast to the traditional knowledge transfer pattern. This paradigm can be readily extended to other environmental management contexts.
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CABALLÉ, SANTI, THANASIS DARADOUMIS, FATOS XHAFA, and JORDI CONESA. "ENHANCING KNOWLEDGE MANAGEMENT IN ONLINE COLLABORATIVE LEARNING." International Journal of Software Engineering and Knowledge Engineering 20, no. 04 (June 2010): 485–97. http://dx.doi.org/10.1142/s0218194010004839.

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This paper aims to explore two crucial aspects of collaborative work and learning: on the one hand, the importance of enabling collaborative learning applications to capture and structure the information generated by group activity and, on the other hand, to extract the relevant knowledge in order to provide learners and tutors with efficient awareness, feedback and support with regards to group performance and collaboration. To this end, in this paper we first propose a conceptual model for data analysis and management that identifies and classifies the many kinds of indicators that describe collaboration and learning into high-level aspects of collaboration. Then, we provide a computational platform that, at a first step, collects and classifies both the event information generated asynchronously from the users' actions and the labeled dialogues from the synchronous collaboration according to these indicators. This information is then analyzed in next steps to eventually extract and present to participants the relevant knowledge about the collaboration. The ultimate aim of this platform is to efficiently embed information and knowledge into collaborative learning applications. We eventually suggest a generalization of our approach to be used in diverse collaborative learning situations and domains.
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Lanzola, G. "Collaborative Knowledge Processing." Yearbook of Medical Informatics 06, no. 01 (August 1997): 525–28. http://dx.doi.org/10.1055/s-0038-1637874.

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LIOU, Y. "Collaborative knowledge acquisition." Expert Systems with Applications 5, no. 1-2 (1992): 1–13. http://dx.doi.org/10.1016/0957-4174(92)90089-b.

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W. Nix, Nancy, and Zach G. Zacharia. "The impact of collaborative engagement on knowledge and performance gains in episodic collaborations." International Journal of Logistics Management 25, no. 2 (August 5, 2014): 245–69. http://dx.doi.org/10.1108/ijlm-05-2013-0060.

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Purpose – Supply chains are embedded in a larger network of enterprises where firms exchange offerings, often compete for the same customers, and constantly innovate to improve their performance. In these dynamic environments, firms are increasingly dependent on the knowledge and expertise in external organizations to innovate, problem-solve, and improve performance. Firms are increasingly collaborating to exchange and pool skills and knowledge and deploy resources and capabilities not found in their own firm. This research using both structured interviews and survey data seeks to determine what are the direct benefits and the ancillary benefits of collaboration. The paper aims to discuss these issues. Design/methodology/approach – A mixed methodology approach was utilized, using qualitative structured interviews leading to developing a research model and then an empirical survey of 473 participants who are involved in their respective organization's collaboration projects. The data were analyzed using structural equation modeling to examine relationships between collaborative engagement, knowledge gained, operational outcomes and relational outcomes. Findings – The results of the study indicate that collaborative engagement has a direct effect on knowledge gained, operational outcomes and relational outcomes in collaboration. The ancillary benefit of collaboration is the learning that takes place leads to improved operational outcomes and relational outcomes. Research limitations/implications – In this research study all the constructs are only examined from a single perspective. This can be a limitation as it would be of greater value to collect data from all the members involved in the collaboration. Originality/value – Collaboration has been well studied in many fields but this research suggests an important ancillary benefit that needs to be considered when deciding to collaborate is the knowledge and learning that happens during a collaboration.
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Chanal, Valérie. "Building knowledge for innovation management." VINE 42, no. 3/4 (August 10, 2012): 396–415. http://dx.doi.org/10.1108/03055721211267512.

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PurposeThe aim of this research is to evaluate the conditions of production of methodological knowledge on innovation management. It seeks to present the experience of an applied research team working with practitioners of R&D by means of an inter‐disciplinary research team in social sciences. The theoretical framework aims to present two approaches for knowledge production: collaboration with practitioners and interdisciplinary research in social science.Design/methodology/approachThe methodology is a case study focused on the various forms of collaborative research. While the literature mainly considers only one form of collaborative research, the author distinguishes between mono‐disciplinary and inter‐disciplinary collaborative research on one hand, and between mono‐partner and multi‐partner collaborative research on the other, leading to four typical research situations. The paper examines empirically the rigor‐relevance debate as seen as the researchers and the practitioners.FindingsThe findings bring to light different criteria that influence the production of knowledge, within the rigor‐relevance dilemma, according to the collaborative research situations and the epistemological posture of researchers from various disciplines.Practical implicationsThe practical implications concern the conditions under which a research program in social sciences can reach both rigor and relevance and produce methodological knowledge. It provides a guide for effective collaboration between social science academics and managers.Social implicationsThis research enlightens the conditions of collaboration between the academic world and the industrial world, which is key to foster innovation, particularly in social sciences.Originality/valueThe value of the paper is to illustrate that collaborative research requires a “boundary organization” to create new knowledge, which is a type of task force capable of mediation between academia, industrials and consultants.
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Dissertations / Theses on the topic "Collaborative knowledge"

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Novak, Jasminko. "Collaborative knowledge visualisation for cross community knowledge exchange." [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=981809944.

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Schmitz, Christoph. "Self-organized collaborative knowledge management." Kassel : Kassel Univ. Press, 2007. http://www.uni-kassel.de/hrz/db4/extern/dbupress/publik/abstract.php?978-3-89958-325-0.

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Choudhary, Alok K. "Knowledge discovery for moderating collaborative projects." Thesis, Loughborough University, 2009. https://dspace.lboro.ac.uk/2134/8138.

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In today's global market environment, enterprises are increasingly turning towards collaboration in projects to leverage their resources, skills and expertise, and simultaneously address the challenges posed in diverse and competitive markets. Moderators, which are knowledge based systems have successfully been used to support collaborative teams by raising awareness of problems or conflicts. However, the functioning of a moderator is limited to the knowledge it has about the team members. Knowledge acquisition, learning and updating of knowledge are the major challenges for a Moderator's implementation. To address these challenges a Knowledge discOvery And daTa minINg inteGrated (KOATING) framework is presented for Moderators to enable them to continuously learn from the operational databases of the company and semi-automatically update the corresponding expert module. The architecture for the Universal Knowledge Moderator (UKM) shows how the existing moderators can be extended to support global manufacturing. A method for designing and developing the knowledge acquisition module of the Moderator for manual and semi-automatic update of knowledge is documented using the Unified Modelling Language (UML). UML has been used to explore the static structure and dynamic behaviour, and describe the system analysis, system design and system development aspects of the proposed KOATING framework. The proof of design has been presented using a case study for a collaborative project in the form of construction project supply chain. It has been shown that Moderators can "learn" by extracting various kinds of knowledge from Post Project Reports (PPRs) using different types of text mining techniques. Furthermore, it also proposed that the knowledge discovery integrated moderators can be used to support and enhance collaboration by identifying appropriate business opportunities and identifying corresponding partners for creation of a virtual organization. A case study is presented in the context of a UK based SME. Finally, this thesis concludes by summarizing the thesis, outlining its novelties and contributions, and recommending future research.
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Wan, Ngai-teck Alice, and 溫艾狄. "Collaborative interactions in knowledge building process." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B31256697.

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Schmitz, Christoph [Verfasser]. "Self-organized collaborative knowledge management / Christoph Schmitz." Kassel : Kassel Univ. Press, 2007. http://d-nb.info/993479081/34.

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Vatcharaphun, Rajsiri Ávila López Enrique. "Knowledge-based system for collaborative process specification." S. l. : INPT, 2009. http://ethesis.inp-toulouse.fr/archive/00000808/01/rajsiri.pdf.

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Cheung, Mei Ling Lisa. "Merging corpus linguistics and collaborative knowledge construction." Thesis, University of Birmingham, 2009. http://etheses.bham.ac.uk//id/eprint/464/.

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This study relates corpus-driven discourse analysis to the concept of collaborative knowledge construction. It demonstrates that the traditional synchronic perspective of meaning in corpus linguistics needs to be complemented by a diachronic dimension. The fundamental assumption underlying this work is that knowledge is understood not within the traditional epistemological framework but from a radical social epistemological perspective, and that incremental knowledge about an object of the discourse corresponds to continual change of meaning of the lexical item that stands for it. This stance is based on the assumption of the discourse as a self-referential system that uses paraphrase as a key device to construct new knowledge. Knowledge is thus seen as the result of collaboration between the members of a discourse community. The thesis presents, in great detail, case studies of asynchronous computer-mediated communication that allow a comprehensive categorisation of a wide range of paraphrase types. It also investigates overt and covert signs of intertextuality linking a new paraphrase to previous contributions. The study then discusses ways in which these new insights concerning the process of collaborative knowledge construction can have an impact on teaching methodologies.
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Stange, Dominic, Andreas Nürnberger, and Holger Heyn. "Collaborative Knowledge Acquisition and Explorationin Technology Search." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-181723.

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This article is about technology search as an example of a knowledge acquisition task in industry. Technology search is about finding technology related information in structured as well as unstructured sources. This information is needed to support optimal decision making in business processes. There are new opptortunities for technology search and challenges that need to be addressed. This article outlines some of these challenges and presents two concepts to address them in a search system.
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Rajsiri, Vatcharaphun. "Knowledge-based system for collaborative process specification." Thesis, Toulouse, INPT, 2009. http://www.theses.fr/2009INPT014G/document.

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Le marché industriel est aujourd’hui de plus en plus dynamique et compétitif. Cette tendance évolutive de l’écosystème amène les entreprises à prendre part à un nombre croissant de réseaux industriels, dans l’optique de maintenir leur activité et d’accroître leur compétitivité. La qualité d’interaction et de collaboration de partenaires de ces réseaux dépend grandement de la capacité de leurs systèmes d’information (SIs) respectifs à gérer et à partager les informations. Le projet MISE (Mediation Information System Engineering) relève pleinement de cette problématique en proposant une approche de conception d’une solution (conceptuelle et technologique) pour le support de l’interopérabilité d’entreprises au travers de leurs SIs. Ce projet s’appuie sur la notion de MDE (Model-Driven Engineering) et s’articule autour de trois niveaux : métier, logique et technologique. Les travaux de! thèse dont il est ici question relèvent du niveau métier en présentant une démarche d’obtention d’un modèle indépendant de toute implémentation (CIM pour Computer Independent Model). Il s’agit en particulier de s’appuyer sur un système basé sur la gestion de connaissance pour concevoir des processus collaboratifs en BPMN (Business Process Modelling Notation). En se positionnant à un niveau d’abstraction au dessus de celui du CIM, on peut capitaliser, manipuler et raisonner une connaissance permettant d’une part de caractériser des collaborations et d’autre part de mettre en place des mécanismes de déduction pour descendre au niveau de CIM. Ces principes sont en outre illustrés par le biais d’un prototype développé pour valider l’approche
Enterprises are now operating in an environment where market is more open, globalized, and competitive. Changes in market conditions are obliging enterprises to become involved in various kinds of industrial networks in order to maintain their business efficiency. The integration of business partners depends deeply on the ability to capture and share information seamlessly amongst the information systems (ISs) of different enterprises. The MISE (Mediation Information System Engineering) project was evolved in order to tackle this problem by providing an information technology solution for supporting the enterprise interoperability through ISs. It is developed on the basis of the MDE (Model Driven Engineering). This dissertation addresses the business level of the interoperability, and the CIM (Computer Independent Model) of the MDE. Its main objective is to develop a knowledge-based system for supporting the design of collabora! tive processes that conform to the BPMN (Business Process Modeling Notation). We propose to work at the upper level of the CIM to capture knowledge that allows us to characterize collaboration by basing on the perspectives and experiences of business partners. We use this knowledge together with the existing knowledge (instances about business processes) from the MIT Process Handbook for moving down to the CIM level. The prototype of our knowledge-based system is also developed in order to validate and evaluate the approach
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Fu, Lai-fan, and 傅麗芬. "Characterizing the discourse patterns of collaborative knowledge building." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/197113.

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This study aimed to develop a holistic understanding of knowledge-building discourse supported by Knowledge Forum among primary-and secondary-school students in Hong Kong. It is argued that prior studies of knowledge building did not adequately address the important question of how ideas are progressively improved because these studies employed cognitively oriented approaches that discarded the sequential, structural, and situational information about the process of group interactions. To better understand this question, the author applied methods from qualitative traditions to the study of knowledge-building discourse. The study was part of a five-year professional development project, “Developing a teacher community for classroom innovation through knowledge building”. The author and other project members collaboratively analyzed more than hundreds of Knowledge Forum views to gain an initial understanding of productive group interactions. The selection of data set for the study utilized purposive sampling. The author evaluated the online discourses of several dozens of classes, with the criteria of productive group interactions. Three classes from different schools were selected: Grade 5 Science, Grade 10 Liberal Studies, and Grade 10 Visual Art. These classes offered diverse examples to enhance the transferability of the findings. The data set comprised 764 Knowledge Forum messages, which were examined in great detail by a four-stage qualitative method. The first stage was a thematic analysis at the thread level to pre-process the online discourses for the subsequent analyses. The second stage was a qualitative coding at the action level to characterize the discourse components of the threads. The coding utilized 7 main codes that were adapted from van Aalst (2009): community, information, question, idea, linking, agency, and meta-discourse. This coding scheme formed a foundation of the data analysis, and this study extended the scheme in two ways. First, it gave the main codes a more theoretically solid foundation by conducting a literature review to further conceptualize or re-conceptualize the main codes. Second, it went beyond conducting the qualitative coding to seek for general patterns of interactions in the third-stage analysis. The third stage was a narrative analysis at the episode level to identify discourse patterns. Eleven patterns were identified to demonstrate productive and unproductive group interactions. The findings from the three stages of analysis were then interpreted to provide a comprehensive profile of the class discourses in the final-stage analysis. The relationship between the discourse profiles and idea improvement was explained. Finally, a validity check was conducted and the findings suggested that the discourse patterns could be used as a heuristic device to provide a basis for understanding other discourses. The implications of this study are threefold. Methodologically, the study has identified eleven discourse patterns that can be conceived as an extensive classification scheme allowing researchers to understand different types of group interaction in asynchronous online discussion forums. Theoretically, the discourse patterns contribute to the literature concerning the process of computer-mediated group interactions. Pedagogically, it is hoped that the discourse patterns can be used as conceptual tools for scaffolding students toward productive group interaction and can be used in teacher professional development.
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Books on the topic "Collaborative knowledge"

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Moen, Anne, Anders I. Mørch, and Sami Paavola, eds. Collaborative Knowledge Creation. Rotterdam: SensePublishers, 2012. http://dx.doi.org/10.1007/978-94-6209-004-0.

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Advancing collaborative knowledge environments: New trends in e-collaboration. Hershey, PA: Information Science Reference, 2012.

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Schmitz, Christoph. Self-organized collaborative knowledge management. Kassel: Kassel Univ. Press, 2007.

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Suliman, Al-Hawamdeh, ed. Creating collaborative advantage through knowledge and innovation. Singapore: World Scientific Pub., 2007.

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Lipiński, Piotr, and Konrad Świrski. Towards modern collaborative knowledge sharing systems. Heidelberg: Springer, 2012.

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Lipiński, Piotr. Towards Modern Collaborative Knowledge Sharing Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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Collaborative knowledge in scientific research networks. Hershey, PA: Information Science Reference, an imprint of IGI Global, 2015.

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Lipiński, Piotr, and Konrad Świrski, eds. Towards Modern Collaborative Knowledge Sharing Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27446-6.

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Knowledge networking: Creating the collaborative enterprise. Oxford: Butterworth-Heinemann, 1999.

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Management, International Conference on Knowledge. Creating collaborative advantage through knowledge and innovation. Singapore: World Scientific Pub., 2007.

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Book chapters on the topic "Collaborative knowledge"

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Roth, Norman G., and Stephen Evans. "Collaborative Knowledge Networks." In Processes and Foundations for Virtual Organizations, 15–22. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-0-387-35704-1_2.

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Taifi, Nouha. "Collaborative Knowledge Networks." In The Future of Identity in the Information Society, 423–29. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-79026-8_29.

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Paavola, Sami, Ritva Engeström, and Kai Hakkarainen. "The Trialogical Approach as a New form of Mediation." In Collaborative Knowledge Creation, 1–14. Rotterdam: SensePublishers, 2012. http://dx.doi.org/10.1007/978-94-6209-004-0_1.

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Kosonen, Kari, Hanni Muukkonen, Minna Lakkala, and Sami Paavola. "A Product Development Course as a Pedagogical Setting for Multidisciplinary Professional Learning." In Collaborative Knowledge Creation, 185–202. Rotterdam: SensePublishers, 2012. http://dx.doi.org/10.1007/978-94-6209-004-0_10.

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Damşa, Crina, and Jerry Andriessen. "Shared Epistemic Agency For Knowledge Creation." In Collaborative Knowledge Creation, 203–17. Rotterdam: SensePublishers, 2012. http://dx.doi.org/10.1007/978-94-6209-004-0_11.

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Kárpáti, Andrea, and Helga Dorner. "Developing Epistemic Agencies of Teacher Trainees – Using the Mentored Innovation Model." In Collaborative Knowledge Creation, 219–32. Rotterdam: SensePublishers, 2012. http://dx.doi.org/10.1007/978-94-6209-004-0_12.

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Sins, Patrick, and Jerry Andriessen. "Working within Knowledge Communities as a Context for Developing Knowledge Practices." In Collaborative Knowledge Creation, 233–48. Rotterdam: SensePublishers, 2012. http://dx.doi.org/10.1007/978-94-6209-004-0_13.

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Moen, Anne, and Sturle Nes. "Consolidating Work Descriptions." In Collaborative Knowledge Creation, 249–60. Rotterdam: SensePublishers, 2012. http://dx.doi.org/10.1007/978-94-6209-004-0_14.

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Batatia, Hadj, Kai Hakkarainen, and Anders I. Mørch. "Tacit Knowledge and Trialogical Learning." In Collaborative Knowledge Creation, 15–29. Rotterdam: SensePublishers, 2012. http://dx.doi.org/10.1007/978-94-6209-004-0_2.

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Doerr, Martin, Athina Kritsotaki, Vassilis Christophides, and Dimitris Kotzinos. "Reference Ontology for Knowledge Creation Processes." In Collaborative Knowledge Creation, 31–52. Rotterdam: SensePublishers, 2012. http://dx.doi.org/10.1007/978-94-6209-004-0_3.

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Conference papers on the topic "Collaborative knowledge"

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Hu, Yang, Yiwen Ding, Feng Xu, Jiayi Liu, Wenjun Xu, and Hao Feng. "Knowledge Recommendation System for Human-Robot Collaborative Disassembly Using Knowledge Graph." In ASME 2021 16th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/msec2021-64642.

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Abstract In recent years, more and more attention has been paid to Human-Robot Collaborative Disassembly (HRCD) in the field of industrial remanufacturing. Compared with the traditional manufacturing, HRCD helps to improve the manufacturing flexibility with considering the manufacturing efficiency. In HRCD, knowledge could be obtained from the disassembly process and then provides useful information for the operator and robots to execute their disassembly tasks. Afterwards, a crucial point is to establish a knowledge-based system to facilitate the interaction between human operators and industrial robots. In this context, a knowledge recommendation system based on knowledge graph is proposed to effectively support Human-Robot Collaboration (HRC) in disassembly. A disassembly knowledge graph is constructed to organize and manage the knowledge in the process of HRCD. After that, based on this, a knowledge recommendation procedure is proposed to recommend disassembly knowledge for the operator. Finally, the case study demonstrates that the developed system can effectively acquire, manage and visualize the related knowledge of HRCD, and then assist the human operator to complete the disassembly task by knowledge recommendation, thus improving the efficiency of collaborative disassembly. This system could be used in the human-robot collaboration disassembly process for the operators to provide convenient knowledge recommendation service.
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Krbálek, Pavel, and Miloš Vacek. "Collaborative knowledge mapping." In the 11th International Conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2024288.2024324.

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Singh, Gurparkash, Louise Hawkins, and Greg Whymark. "An Integrated Model of Collaborative Knowledge Building." In InSITE 2007: Informing Science + IT Education Conference. Informing Science Institute, 2007. http://dx.doi.org/10.28945/3054.

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This paper describes a model for studying collaborative knowledge building (CKB) as a group activity. We integrate the model described by Stahl (2000a) with an analysis based on the principles of cultural historical activity theory (CHAT), using the analysis of a self reflective case study to guide the description. The concept of the CKB activity system is developed, and the role of contradictions in CHAT is described. The case is then analyzed to show how the model explains collaboration in practice. The final model includes two additional cycles representing the role of reflective practice in CKB. The new model of CKB processes combined with the concept of the activity as the unit of analysis and the tools of CHAT provides an efficacious way of investigating collaborative knowledge building.
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Hmelo-Silver, C. E. "Facilitating collaborative knowledge construction." In 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the. IEEE, 2003. http://dx.doi.org/10.1109/hicss.2003.1173636.

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KHOSLA, RAJIV, MEI-TAI CHU, K. G. YAMADA, S. DOI, K. KUNEIDA, and S. OGA. "KNOWLEDGE FLOW NETWORKS AND COMMUNITIES OF PRACTICE FOR KNOWLEDGE MANAGEMENT." In Managing Knowledge for Global and Collaborative Innovations. WORLD SCIENTIFIC, 2009. http://dx.doi.org/10.1142/9789814299862_0002.

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Zauder, Kresimir, Jadranka Lasic Lazic, and Mihaela Banek Zorica. "Collaborative Tagging Supported Knowledge Discovery." In 2007 29th International Conference on Information Technology Interfaces. IEEE, 2007. http://dx.doi.org/10.1109/iti.2007.4283810.

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Zurita, Gustavo, Nelson Baloian, and Felipe Baytelman. "Mobile Collaborative Knowledge Management System." In in Design (CSCWD). IEEE, 2008. http://dx.doi.org/10.1109/cscwd.2008.4537044.

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Junming Hou, Chong Su, and Wanshan Wang. "Knowledge management in collaborative design." In 2008 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI). IEEE, 2008. http://dx.doi.org/10.1109/soli.2008.4686517.

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Hayes, Pat, Thomas C. Eskridge, Raul Saavedra, Thomas Reichherzer, Mala Mehrotra, and Dmitri Bobrovnikoff. "Collaborative knowledge capture in ontologies." In the 3rd international conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1088622.1088641.

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Sochat, Vanessa. "AskCI Server: Collaborative knowledge base." In PEARC '20: Practice and Experience in Advanced Research Computing. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3311790.3399616.

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Reports on the topic "Collaborative knowledge"

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Tecuci, Gheorghe. Collaborative Assistant for Rapid Knowledge Formation and Reasoning. Fort Belvoir, VA: Defense Technical Information Center, December 2004. http://dx.doi.org/10.21236/ada429803.

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Moody, Russell F., and Nikolaus G. Bourbakis. Avionics Collaborative Engineering Technology Delivery Order 0035: Secure Knowledge Management (SKM) Technology Research Roadmap - Technology Trends for Collaborative Information and Knowledge Management Research. Fort Belvoir, VA: Defense Technical Information Center, June 2004. http://dx.doi.org/10.21236/ada429348.

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Biron, H. C., Lisa M. Burkman, and Norman Warner. A Re-Analysis of the Collaborative Knowledge Transcripts from a Noncombatant Evacuation Operation Scenario: The Next Phase in the Evolution of a Team Collaboration Model. Fort Belvoir, VA: Defense Technical Information Center, April 2008. http://dx.doi.org/10.21236/ada482935.

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Broek, Jos, Paul Stephen Benneworth, and Roel Rutten. Border blocking effects in collaborative firm innovation: exploring the factors related with scientist' willingness to incorporating external knowledge. Center for Higher Education Policy Studies, 2016. http://dx.doi.org/10.3990/4.2589-9716.2016.02.

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Morgan, Susan, Alexandra Mosser, and John Bixby. University of Miami Laboratory for Integrative Knowledge (U-LINK) Program Evaluation Report. University of Miami, 2020. http://dx.doi.org/10.33596/ovprs-19-2.

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As one of the Roadmap Initiatives, U-LINK (University of Miami Laboratory for INtegrative Knowledge) is the University of Miami’s (UM’s) program to support innovative, problem-based interdisciplinary research. The U-LINK initiative is premised on the idea that the most significant challenges facing humanity, and therefore the most important research problems, require innovative and integrative approaches resulting from collaborations that bridge disciplines. The goal of U-LINK is to bring together faculty and trainees from multiple disciplines in collaboration with community stakeholders to develop and act on a shared vision of innovative solutions to grand societal challenges. To accomplish this goal, U-LINK provides training and funding opportunities for research teams, identifies common space(s) for teams to work together, creates interdisciplinary opportunities for UM undergraduate and graduate students, and helps UM faculty identify and pursue collaborative initiatives with faculty in other departments, schools, and colleges. This document details the features of the U-LINK program and provides data about outcomes of the program through 2019.
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Shrobe, Howard. Knowledge Based Collaboration Webs. Fort Belvoir, VA: Defense Technical Information Center, March 2003. http://dx.doi.org/10.21236/ada412519.

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Vreeland, Heidi, Christina Norris, Lauren Shum, Jaya Pokuri, Emily Shannon, Anmol Raina, Ayushman Tripathi, et al. Collaborative Efforts to Investigate Emissions From Residential and Municipal Trash Burning in India. RTI Press, September 2018. http://dx.doi.org/10.3768/rtipress.2018.rb.0019.1809.

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Emissions from trash burning represent an important component of regional air quality, especially in countries such as India where the practice of roadside, residential, and municipal trash burning is highly prevalent. However, research on trash emissions is limited due to difficulties associated with measuring a source that varies widely in composition and burning characteristics. To investigate trash burning in India, a collaborative program was formed among RTI, Duke University, and the India Institute of Technology (IIT) in Gandhinagar, involving both senior researchers and students. In addition to researching emission measurement techniques, this program aimed to foster international partnerships and provide students with a hands-on educational experience, culminating in a pilot study in India. Before traveling, students from Duke and IIT met virtually to design experiments. IIT students were able to visit proposed sites and offer specified knowledge on burning practices prior to the pilot study, allowing potential experiments to be iteratively improved. The results demonstrated a proof of concept of using a low-cost sensor attached to a commercial drone to measure emissions from a municipal dump site. In addition, for small-scale residential and roadside trash burning, a combustor was designed to burn trash in a consistent way. Results suggested that thermocouples and low-cost sensors may offer an affordable way for combustor designers to assess particulate emissions during prototype iterations. More experiences like this should be made available so that future research can benefit from the unique insights that come from having veteran researchers work with students and from forming international partnerships.
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Agrawal, Ajay, Avi Goldfarb, and Florenta Teodoridis. Does Knowledge Accumulation Increase the Returns to Collaboration? Cambridge, MA: National Bureau of Economic Research, December 2013. http://dx.doi.org/10.3386/w19694.

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St. John, Mark. HERMES: Collaboration and Knowledge Interoperability in Maritime Interdiction Operations. Fort Belvoir, VA: Defense Technical Information Center, March 2011. http://dx.doi.org/10.21236/ada538950.

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Bracewell, Thomas. Empirical Knowledge Transfer and Collaboration with Self-Regenerative Systems. Fort Belvoir, VA: Defense Technical Information Center, June 2007. http://dx.doi.org/10.21236/ada470099.

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