Enterprise architecture (EA) efforts focus on business, technology, data, and application architecture, and their integration. However, less attention has been given to one of the most critical EA elements, i.e., user...Enterprise architecture (EA) efforts focus on business, technology, data, and application architecture, and their integration. However, less attention has been given to one of the most critical EA elements, i.e., users (EA audiences). As a result, existing EA management systems (EAMS) have become old, large, content-centric document-repositories that are unable to provide meaningful information of use to the enterprise users and aligned with their needs and functional scope. We argue that a semantic technology based mechanism focusing on enterprise information and user-centricity has the potential to solve this problem. In this context, we present a novel ontology-based strategy named the user-centric semantics-oriented EA (U-SEA) model. Based on this model, we have developed a user-centric semantics-oriented enterprise architecture management (U-SEAM) system. Our approach is generic enough to be used in a wide variety of user-centric EAM applications. The results obtained show computational feasibility to integrate and govern enterprise information and to reduce complexity with respect to interoperability between enterprise information and users.展开更多
Telecommunication has undergone significant transformations due to the continuous advancements in internet technology,mobile devices,competitive pricing,and changing customer preferences.Specifically,the most recent i...Telecommunication has undergone significant transformations due to the continuous advancements in internet technology,mobile devices,competitive pricing,and changing customer preferences.Specifically,the most recent iteration of OpenAI’s large language model chat generative pre-trained transformer(ChatGPT)has the potential to propel innovation and bolster operational performance in the telecommunications sector.Nowadays,the exploration of network resource management,control,and operation is still in the initial stage.In this paper,we propose a novel network artificial intelligence architecture named language model for network traffic(NetLM),a large language model based on a transformer designed to understand sequence structures in the network packet data and capture their underlying dynamics.The continual convergence of knowledge space and artificial intelligence(AI)technologies constitutes the core of intelligent network management and control.Multi-modal representation learning is used to unify the multi-modal information of network indicator data,traffic data,and text data into the same feature space.Furthermore,a NetLM-based control policy generation framework is proposed to refine intent incrementally through different abstraction levels.Finally,some potential cases are provided that NetLM can benefit the telecom industry.展开更多
This research aimed to develop a unique framework to help architects understand and apply architectural management （AM） in their practices. A comprehensive literature review identified several components belonging t...This research aimed to develop a unique framework to help architects understand and apply architectural management （AM） in their practices. A comprehensive literature review identified several components belonging to different specialist fields. A pragmatic methodology for developing the framework was adopted by combining the methodology of Japareen for building conceptual frameworks with the Concept Mapping and Qualitative Met-Synthesis techniques. The resulting framework underwent a series of testing stages aimed at refining the framework further. The testing process targeted two groups （researchers and professionals） by adopting a mixed method approach, which included a facilitated workshop, interviews, and a questionnaire survey. The feedback from the testing phase was used to create the final AM Taxonomy Framework （AMTF）, and served as an original and practical guide for practitioners, further extending their understanding of AM. Further validation and refinement are planned in the long term by applying the framework to selected architectural practices.展开更多
The design and construction of houses normally require an architect＇s input. However, architects are increasingly being marginalized in these projects, and their roles are constantly being invaded by others. Despite ...The design and construction of houses normally require an architect＇s input. However, architects are increasingly being marginalized in these projects, and their roles are constantly being invaded by others. Despite repeated institutional interventions toward remedying this phenomenon, signs are not abating. This article examines the complexity of this phenomenon to explain the inadequacy of institutional interventions to address the problem. This article conceptualizes the phenomenon of marginalization and role invasion as a super wicked problem with six key features. First, the problem has a difficult definition. Second, the solution involves a large structural and economic burden. Third, time is of the essence. Fourth, multiple stakeholders attempting to solve the problem are part of the cause. Fifth, institutional interventions addressing the issue are weak or ill-equipped. Sixth, institutional interventions discount the future irrationally. The implications of this conceptualization for institutional intervention and research are discussed.展开更多
文摘Enterprise architecture (EA) efforts focus on business, technology, data, and application architecture, and their integration. However, less attention has been given to one of the most critical EA elements, i.e., users (EA audiences). As a result, existing EA management systems (EAMS) have become old, large, content-centric document-repositories that are unable to provide meaningful information of use to the enterprise users and aligned with their needs and functional scope. We argue that a semantic technology based mechanism focusing on enterprise information and user-centricity has the potential to solve this problem. In this context, we present a novel ontology-based strategy named the user-centric semantics-oriented EA (U-SEA) model. Based on this model, we have developed a user-centric semantics-oriented enterprise architecture management (U-SEAM) system. Our approach is generic enough to be used in a wide variety of user-centric EAM applications. The results obtained show computational feasibility to integrate and govern enterprise information and to reduce complexity with respect to interoperability between enterprise information and users.
基金This work was supported by the National Natural Science Foundation of China under Grants of 62071067,62101064,62201072,62171057,and 62001054,Beijing University of Posts and Telecommunications-China Mobile Research Institute Joint Innovation Center。
文摘Telecommunication has undergone significant transformations due to the continuous advancements in internet technology,mobile devices,competitive pricing,and changing customer preferences.Specifically,the most recent iteration of OpenAI’s large language model chat generative pre-trained transformer(ChatGPT)has the potential to propel innovation and bolster operational performance in the telecommunications sector.Nowadays,the exploration of network resource management,control,and operation is still in the initial stage.In this paper,we propose a novel network artificial intelligence architecture named language model for network traffic(NetLM),a large language model based on a transformer designed to understand sequence structures in the network packet data and capture their underlying dynamics.The continual convergence of knowledge space and artificial intelligence(AI)technologies constitutes the core of intelligent network management and control.Multi-modal representation learning is used to unify the multi-modal information of network indicator data,traffic data,and text data into the same feature space.Furthermore,a NetLM-based control policy generation framework is proposed to refine intent incrementally through different abstraction levels.Finally,some potential cases are provided that NetLM can benefit the telecom industry.
文摘This research aimed to develop a unique framework to help architects understand and apply architectural management （AM） in their practices. A comprehensive literature review identified several components belonging to different specialist fields. A pragmatic methodology for developing the framework was adopted by combining the methodology of Japareen for building conceptual frameworks with the Concept Mapping and Qualitative Met-Synthesis techniques. The resulting framework underwent a series of testing stages aimed at refining the framework further. The testing process targeted two groups （researchers and professionals） by adopting a mixed method approach, which included a facilitated workshop, interviews, and a questionnaire survey. The feedback from the testing phase was used to create the final AM Taxonomy Framework （AMTF）, and served as an original and practical guide for practitioners, further extending their understanding of AM. Further validation and refinement are planned in the long term by applying the framework to selected architectural practices.
文摘The design and construction of houses normally require an architect＇s input. However, architects are increasingly being marginalized in these projects, and their roles are constantly being invaded by others. Despite repeated institutional interventions toward remedying this phenomenon, signs are not abating. This article examines the complexity of this phenomenon to explain the inadequacy of institutional interventions to address the problem. This article conceptualizes the phenomenon of marginalization and role invasion as a super wicked problem with six key features. First, the problem has a difficult definition. Second, the solution involves a large structural and economic burden. Third, time is of the essence. Fourth, multiple stakeholders attempting to solve the problem are part of the cause. Fifth, institutional interventions addressing the issue are weak or ill-equipped. Sixth, institutional interventions discount the future irrationally. The implications of this conceptualization for institutional intervention and research are discussed.
