Constructing Common Information Spaces

Author(s):  
Liam Bannon ◽  
Susanne Bødker
Author(s):  
Demosthenes Akoumianakis ◽  
Giannis Milolidakis ◽  
Dimitrios Stefanakis ◽  
Anargyros Akrivos ◽  
George Vellis ◽  
...  

Author(s):  
Maristella Matera ◽  
Matteo Picozzi ◽  
Michele Pini ◽  
Marco Tonazzo

Author(s):  
Vidar Hepsø

In knowledge management literature, common information spaces (CIS) are believed to be instrumental in the development and sharing of knowledge. These information spaces provide the arena to facilitate knowledge creation, knowledge management, boost multidisciplinary collaboration and therefore increase the performance of the organization. In a global oil and gas industry an increasing part of the communication in day-to-day operations takes place in specially designed videoconferencing and collaboration rooms. This chapter addresses the role such information spaces play and some of the implications for practice when it comes to knowledge-intensive work: diversity, work relations and identity. What is regarded as “common” or ”shared” among heterogeneous groups of professionals working within such information spaces is challenged.


2005 ◽  
pp. 93-121 ◽  
Author(s):  
Carljohan Orre

This chapter provides a case and an investigation of how a particular mobile ICT support has been used within an established practice of homecare work. The discussion shows a perspective of how technology and practice coevolves and gets enmeshed together. The importance of seeing the interface of either the mobile devices or the stationary computer as common information spaces is stressed, since the single-user interface the current system offers is not enough support for the collaborative activities the mobile workforce of homecare work is engaged in. The problem resides in this case in the relations to predecessors of the system, found in diaries and coordination tools. A modest suggestion posed by the author is that an understanding of the work maintaining the role of these predecessors can provide beneficial information for the future design of these technological supports.


Data ◽  
2018 ◽  
Vol 3 (4) ◽  
pp. 66 ◽  
Author(s):  
Svitlana Petrasova ◽  
Nina Khairova ◽  
Włodzimierz Lewoniewski ◽  
Orken Mamyrbayev ◽  
Kuralay Mukhsina

Similar text fragments extraction from weakly formalized data is the task of natural language processing and intelligent data analysis and is used for solving the problem of automatic identification of connected knowledge fields. In order to search such common communities in Wikipedia, we propose to use as an additional stage a logical-algebraic model for similar collocations extraction. With Stanford Part-Of-Speech tagger and Stanford Universal Dependencies parser, we identify the grammatical characteristics of collocation words. With WordNet synsets, we choose their synonyms. Our dataset includes Wikipedia articles from different portals and projects. The experimental results show the frequencies of synonymous text fragments in Wikipedia articles that form common information spaces. The number of highly frequented synonymous collocations can obtain an indication of key common up-to-date Wikipedia communities.


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