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From collective knowledge to intelligence: pre-requirements analysis of large and complex systems
- In: Proceedings of the 1st Workshop on Web 2.0 for Software Engineering (Web2SE), ACM
"... Requirements engineering is essentially a social collabora-tive activity in which involved stakeholders have to closely work together to communicate, elicit, negotiate, define, con-firm, and finally come up with the requirements for the sys-tem to be implemented or upgraded. In the development of la ..."
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Cited by 5 (3 self)
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Requirements engineering is essentially a social collabora-tive activity in which involved stakeholders have to closely work together to communicate, elicit, negotiate, define, con-firm, and finally come up with the requirements for the sys-tem to be implemented or upgraded. In the development of large and complex systems, with a huge number of uncertain stakeholders, the requirements engineering process becomes a challenging task due to overwhelming and dynamic so-cial interactions, tradeoffs, and collective decisions made by above stakeholders. Traditional approaches and techniques are deficient in supporting this kind of social interactions in requirements-related activities, and managing the evolving requirements and their traceability caused by the social in-teractions. This paper proposes to address the challenges in the pre-requirements analysis of large and complex sys-tems by employing the techniques from collective intelligence based on Web 2.0 tools and technologies, which is composed of three steps: first, obtain collective requirements knowl-edge through collaborative tagging by stakeholders; second, transform collaborative requirement tags into requirement ontologies; third, support collective requirement decision-making (i.e., collective intelligence) based on the require-ment ontologies through requirements reasoning.
Collaborative semantic structuring of folksonomies
- Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on, 1:132–135
, 2009
"... The advent of tagging and folksonomies for organizing shared resources on the social Web brought promising opportunities to help communities of users capture their knowledge. However, the lack of semantics, or the spelling variations between tags lowers the potentials for browsing and exploring thes ..."
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The advent of tagging and folksonomies for organizing shared resources on the social Web brought promising opportunities to help communities of users capture their knowledge. However, the lack of semantics, or the spelling variations between tags lowers the potentials for browsing and exploring these data. To overcome these limitations, we propose exploiting the interactions between the users and the systems to validate or correct semantic analysis automatically applied to the tags. This process is based upon our model of the assistance of folksonomies enrichment which supports conflictual points of view. Several strategies can then be applied to propose novel browsing facilities to users. 1.
Dynamic Tagging for Enterprise Knowledge Sharing and Representation Emergent Research Forum Papers
"... The development of Web 2.0 technology provides an easy way for people to transfer and share knowledge. As a collaborative tagging tool, folksonomy is an efficient indexing method in Web 2.0 environments. After analyzing the pros and cons of current knowledge management systems, this research propos ..."
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The development of Web 2.0 technology provides an easy way for people to transfer and share knowledge. As a collaborative tagging tool, folksonomy is an efficient indexing method in Web 2.0 environments. After analyzing the pros and cons of current knowledge management systems, this research proposes a dynamic Tagging system that combines folksonomy technologies with other approaches including automatic schema enrichment and training. The proposed system improves access to a large, growing collection by supporting users collaboratively contribute to the building of tags. In addition, the proposed system provides an efficient way for firms to represent knowledge and share knowledge with customers and other firms.
Blackboard Data Spaces for the Elicitation of Community-based Lightweight ontologies
"... Abstract—In open information systems, users can act as consumers and producers of meaningful content. They can have an active role in capturing the semantics that they use within their communities. This approach use the notion of web blackboards, which provide a playground for participants to reach ..."
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Abstract—In open information systems, users can act as consumers and producers of meaningful content. They can have an active role in capturing the semantics that they use within their communities. This approach use the notion of web blackboards, which provide a playground for participants to reach better agreements about a some topic. Multiple blackboards can be connected, forming networks where the content within a black-boards automatically spread. In this approach, the blackboards might converge or diverge in distinct variants, providing a model where distinct local agreements or ontology views can co-exist within a system. The social construction dynamics benefit from mapping analysis and pattern observation, aiming to increase the underlying community awareness. In the same way, these dynamics are persisted, aiming to capture the community shared understanding across time. I.
Communities of Intelligence onLine
, 2015
"... HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci-entific research documents, whether they are pub-lished or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte p ..."
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HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci-entific research documents, whether they are pub-lished or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et a ̀ la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.
Author manuscript, published in "N/P" Semantic Social Network Analysis
, 2009
"... Abstract: Social Network Analysis (SNA) tries to understand and exploit the key features of social networks in order to manage their life cycle and predict their evolution. Increasingly popular web 2.0 sites are forming huge social network. Classical methods from social network analysis (SNA) have b ..."
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Abstract: Social Network Analysis (SNA) tries to understand and exploit the key features of social networks in order to manage their life cycle and predict their evolution. Increasingly popular web 2.0 sites are forming huge social network. Classical methods from social network analysis (SNA) have been applied to such online networks. In this paper, we propose leveraging semantic web technologies to merge and exploit the best features of each domain. We present how to facilitate and enhance the analysis of online social networks, exploiting the power of semantic social network analysis. 1.
ISICIL: Information Semantic Integration through Communities of Intelligence onLine
"... Abstract: this is a collective position paper presenting the vision, motivations and approaches of the ISICIL project. This project proposes to study and to experiment with the usage of new tools to assist tasks of corporate intelligence and technical watch. These tools rely on web 2.0 advanced inte ..."
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Abstract: this is a collective position paper presenting the vision, motivations and approaches of the ISICIL project. This project proposes to study and to experiment with the usage of new tools to assist tasks of corporate intelligence and technical watch. These tools rely on web 2.0 advanced interfaces (blog, wiki, social bookmarking) for interactions and on semantic web technologies for interoperability and information processing.
Semantic Social Network Analysis
"... Abstract: Social Network Analysis (SNA) tries to understand and exploit the key features of social networks in order to manage their life cycle and predict their evolution. Increasingly popular web 2.0 sites are forming huge social network. Classical methods from social network analysis (SNA) have b ..."
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Abstract: Social Network Analysis (SNA) tries to understand and exploit the key features of social networks in order to manage their life cycle and predict their evolution. Increasingly popular web 2.0 sites are forming huge social network. Classical methods from social network analysis (SNA) have been applied to such online networks. In this paper, we propose leveraging semantic web technologies to merge and exploit the best features of each domain. We present how to facilitate and enhance the analysis of online social networks, exploiting the power of semantic social network analysis. 1.
Project-Team Edelweiss Exchanges Documents Extraction Languages Web Ergonomics Interaction Semantics Servers
"... c t i v it y e p o r t 2009 Table of contents 1. Team.................................................................................... 1 ..."
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c t i v it y e p o r t 2009 Table of contents 1. Team.................................................................................... 1
ftgroup.com
, 2009
"... HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci-entific research documents, whether they are pub-lished or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte p ..."
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HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci-entific research documents, whether they are pub-lished or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et a ̀ la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.