Pub Date : 2007-06-18DOI: 10.1109/DEST.2007.371966
J. Gabaldón, P. Hernandez, M. Vidal
Information is an essentially distributed resource in nature. It is not fully contained in central units but thoroughly split into a myriad of different parts or elements widely spread in space and time. As a result, natural systems can seldom handle all the available information. Nonetheless, such a limitation does not prevent natural organisms and ecosystems from evolving; on the contrary, it fosters competition and, ultimately, ensures life survival. Recent advances in neurosciences have shown that even one of the apparently most centralized systems, a mammal's brain, can hardly be regarded as such, but as a highly functional distributed neuronal system. Efficiently exploring, actively and selectively searching the surrounding environment for the most relevant information becomes a sign of intelligence and environmental fitness. Perhaps tellingly, most of the computer networks and databases are still built upon strongly centralized hierarchies. Centralized systems do work well for most of the intended purposes on a small scale. As size increases, distributed systems outperform centralized ones. But the management of a decentralized network poses new challenges that we are just beginning to address. In this paper we offer some hints and provide a description of the main characteristics that define this new paradigm of computer communities and network information systems, listing the benefits and drawbacks in computer science.
{"title":"Think BIG or Die; Envisaging the End of System Failures","authors":"J. Gabaldón, P. Hernandez, M. Vidal","doi":"10.1109/DEST.2007.371966","DOIUrl":"https://doi.org/10.1109/DEST.2007.371966","url":null,"abstract":"Information is an essentially distributed resource in nature. It is not fully contained in central units but thoroughly split into a myriad of different parts or elements widely spread in space and time. As a result, natural systems can seldom handle all the available information. Nonetheless, such a limitation does not prevent natural organisms and ecosystems from evolving; on the contrary, it fosters competition and, ultimately, ensures life survival. Recent advances in neurosciences have shown that even one of the apparently most centralized systems, a mammal's brain, can hardly be regarded as such, but as a highly functional distributed neuronal system. Efficiently exploring, actively and selectively searching the surrounding environment for the most relevant information becomes a sign of intelligence and environmental fitness. Perhaps tellingly, most of the computer networks and databases are still built upon strongly centralized hierarchies. Centralized systems do work well for most of the intended purposes on a small scale. As size increases, distributed systems outperform centralized ones. But the management of a decentralized network poses new challenges that we are just beginning to address. In this paper we offer some hints and provide a description of the main characteristics that define this new paradigm of computer communities and network information systems, listing the benefits and drawbacks in computer science.","PeriodicalId":448012,"journal":{"name":"2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference","volume":"78 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128671950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-06-18DOI: 10.1109/DEST.2007.372045
M. Cioca, L. Cioca, S. Buraga
Natural disasters profoundly affect the development of human society, they are the most pervasive disasters in the world and they cause the greatest property and human loss. Considering the natural disasters that have struck Romania these years, we believe that is it is absolutely necessary to develop a spatial [elements] decision support system, which would prevent - as much as possible - natural disasters from occurring or would help mitigate their effects. All these objectives are unattainable without effectively applying information and communication technology in the field of natural disasters.
{"title":"Spatial [Elements] Decision Support System Used in Disaster Management","authors":"M. Cioca, L. Cioca, S. Buraga","doi":"10.1109/DEST.2007.372045","DOIUrl":"https://doi.org/10.1109/DEST.2007.372045","url":null,"abstract":"Natural disasters profoundly affect the development of human society, they are the most pervasive disasters in the world and they cause the greatest property and human loss. Considering the natural disasters that have struck Romania these years, we believe that is it is absolutely necessary to develop a spatial [elements] decision support system, which would prevent - as much as possible - natural disasters from occurring or would help mitigate their effects. All these objectives are unattainable without effectively applying information and communication technology in the field of natural disasters.","PeriodicalId":448012,"journal":{"name":"2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128195233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-06-18DOI: 10.1109/DEST.2007.371934
Ian Somerville
In dynamic computation ecosystems involving many different participants, a topdown approach to system dependability does not work. It is not possible to take a topdown approach to system design and implementation and to validate the resulting system against some specification. Rather, we have to assume that elements of the system will become unavailable at unpredictable times and that some elements may be unreliable. Instead of designing systems to avoid failure, we must re-orient our thinking and design systems so that we can tolerate failure and recover from failures when they occur. In this talk, I will discuss the challenges of designing for failure and will introduce research on responsibility modelling that provides information for failure recovery.
{"title":"Design for failure: Software challenges of digital ecosystems","authors":"Ian Somerville","doi":"10.1109/DEST.2007.371934","DOIUrl":"https://doi.org/10.1109/DEST.2007.371934","url":null,"abstract":"In dynamic computation ecosystems involving many different participants, a topdown approach to system dependability does not work. It is not possible to take a topdown approach to system design and implementation and to validate the resulting system against some specification. Rather, we have to assume that elements of the system will become unavailable at unpredictable times and that some elements may be unreliable. Instead of designing systems to avoid failure, we must re-orient our thinking and design systems so that we can tolerate failure and recover from failures when they occur. In this talk, I will discuss the challenges of designing for failure and will introduce research on responsibility modelling that provides information for failure recovery.","PeriodicalId":448012,"journal":{"name":"2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114668223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-06-18DOI: 10.1109/DEST.2007.372044
C. Cheah
While digital business ecosystem is emerging as a paradigm in next generation of system development and business servicing models, the design goal has not changed. The aim is still about achieving interoperability - the convergence of ICT integration, business processes and human interaction into an optimised model for not just digitalising enterprises' business servicing but maximising competitive advantage. Business researchers, such as Hill, Prahalad, Hamel, Miller, Eisenstat and Foote, are recognising the importance of using enterprise architecture methodologies in bringing together people, process and ICT resources and their capabilities to create core competencies for strategic advantage. In light of this recognition, there is value in incorporating EA governance in DBE development. Another value add to DBE development is using emerging ontology methodologies in defining DBE knowledge structures. Ontology is the study and conceptualisation of domain knowledge based on agreements of formal methods and product frameworks. In DBE development, ontology methodologies can be used to foster social and technology semantic knowledge sharing in DBE project management and SDLC workflows, and DBE product designs through using open standards in DBE data modelling. One such ontology methodology that fulfils these two role requirements is the MSPM ontology methodology, a Curtin University research product nearing completion. The MSPM ontology methodology can be potentially extended and exploited for future DBE research and development.
{"title":"The Emperor's New Clothes: Redressing Digital Business Ecosystem Design","authors":"C. Cheah","doi":"10.1109/DEST.2007.372044","DOIUrl":"https://doi.org/10.1109/DEST.2007.372044","url":null,"abstract":"While digital business ecosystem is emerging as a paradigm in next generation of system development and business servicing models, the design goal has not changed. The aim is still about achieving interoperability - the convergence of ICT integration, business processes and human interaction into an optimised model for not just digitalising enterprises' business servicing but maximising competitive advantage. Business researchers, such as Hill, Prahalad, Hamel, Miller, Eisenstat and Foote, are recognising the importance of using enterprise architecture methodologies in bringing together people, process and ICT resources and their capabilities to create core competencies for strategic advantage. In light of this recognition, there is value in incorporating EA governance in DBE development. Another value add to DBE development is using emerging ontology methodologies in defining DBE knowledge structures. Ontology is the study and conceptualisation of domain knowledge based on agreements of formal methods and product frameworks. In DBE development, ontology methodologies can be used to foster social and technology semantic knowledge sharing in DBE project management and SDLC workflows, and DBE product designs through using open standards in DBE data modelling. One such ontology methodology that fulfils these two role requirements is the MSPM ontology methodology, a Curtin University research product nearing completion. The MSPM ontology methodology can be potentially extended and exploited for future DBE research and development.","PeriodicalId":448012,"journal":{"name":"2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124231334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-06-18DOI: 10.1109/DEST.2007.371943
A. Nicolai, J. Val, A. Passani
The two hours workshop will address the strategy and local policy initiatives supporting the activation and deployment of the Digital Business Ecosystem Technologies and methodologies supporting the dynamic clustering of SMEs. The session will analyze how to understand DBE regional requirements and how to launch 'markers of credibility' of the DBE towards SMEs through several actions (from education programs to code camps to SMEs networking activities). Regional Maturity Grade and Social Network Analysis will be presented as new methodologies to evaluate and model regional actions in support of DBE. The workshop will touch on Governance issues and models for digital SMEs clusters. The workshop will present Regional Policy strategies for SMEs innovation supported by DBE technologies and methodology, presenting a successful case study on the Aragon Region in Spain.
{"title":"Regional Policies and Deployment Strategies supporting Digital Business Ecosystem Adoption","authors":"A. Nicolai, J. Val, A. Passani","doi":"10.1109/DEST.2007.371943","DOIUrl":"https://doi.org/10.1109/DEST.2007.371943","url":null,"abstract":"The two hours workshop will address the strategy and local policy initiatives supporting the activation and deployment of the Digital Business Ecosystem Technologies and methodologies supporting the dynamic clustering of SMEs. The session will analyze how to understand DBE regional requirements and how to launch 'markers of credibility' of the DBE towards SMEs through several actions (from education programs to code camps to SMEs networking activities). Regional Maturity Grade and Social Network Analysis will be presented as new methodologies to evaluate and model regional actions in support of DBE. The workshop will touch on Governance issues and models for digital SMEs clusters. The workshop will present Regional Policy strategies for SMEs innovation supported by DBE technologies and methodology, presenting a successful case study on the Aragon Region in Spain.","PeriodicalId":448012,"journal":{"name":"2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116600210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-06-18DOI: 10.1109/DEST.2007.372016
Zhang Hong, He Huacan
To investigate agents' intelligent acts in a multi-dimensional space and analyze their mental status in different granular metric scales or affordance, a new concept ecological calculus for multi-agent systems is put forward based on essential standpoints of ecology and universal logics. Qualitative and quantitative models of ecological calculus for a general multi-agent systems' framework are presented based on generalized modeling methods for large systems cybernetics. And a use case in natural language processing with a generic algorithm is applied to prove the validity of the frame. Experiments show that not only does the framework help us to understand and interpret many natural phenomena such as fuzzy concepts or propositions, but also to solve complex agents' interaction problems such as negotiation and competition.
{"title":"Ecological Calculus Framework for Multi-Agent Systems","authors":"Zhang Hong, He Huacan","doi":"10.1109/DEST.2007.372016","DOIUrl":"https://doi.org/10.1109/DEST.2007.372016","url":null,"abstract":"To investigate agents' intelligent acts in a multi-dimensional space and analyze their mental status in different granular metric scales or affordance, a new concept ecological calculus for multi-agent systems is put forward based on essential standpoints of ecology and universal logics. Qualitative and quantitative models of ecological calculus for a general multi-agent systems' framework are presented based on generalized modeling methods for large systems cybernetics. And a use case in natural language processing with a generic algorithm is applied to prove the validity of the frame. Experiments show that not only does the framework help us to understand and interpret many natural phenomena such as fuzzy concepts or propositions, but also to solve complex agents' interaction problems such as negotiation and competition.","PeriodicalId":448012,"journal":{"name":"2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference","volume":"367 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117080828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-06-18DOI: 10.1109/DEST.2007.372041
Huaiguo Fu, B. Jennings, P. Malone
As the progress in biology and medical science, especially in DNA technology, large amounts of biomedical data continue to grow inexorably in size, dimension and complexity. We need to develop more scalable and more efficient techniques and methods to analyze and represent the large and high-dimensional biomedical data sets. Formal concept analysis (FCA) is an effective tool for data analysis and knowledge discovery. Concept lattice, which is derived from mathematical order theory and lattice theory, is the core of FCA. Many research works of various areas show that concept lattice structure is an effective platform for data mining, machine learning, information retrieval, software engineering, etc. This paper presents FCA for analysis and representation of biomedical data. Furthermore, we present a new lattice-based algorithm for analysis of large and high-dimensional biomedical data.
{"title":"Analysis and Representation of Biomedical data with Concept Lattice","authors":"Huaiguo Fu, B. Jennings, P. Malone","doi":"10.1109/DEST.2007.372041","DOIUrl":"https://doi.org/10.1109/DEST.2007.372041","url":null,"abstract":"As the progress in biology and medical science, especially in DNA technology, large amounts of biomedical data continue to grow inexorably in size, dimension and complexity. We need to develop more scalable and more efficient techniques and methods to analyze and represent the large and high-dimensional biomedical data sets. Formal concept analysis (FCA) is an effective tool for data analysis and knowledge discovery. Concept lattice, which is derived from mathematical order theory and lattice theory, is the core of FCA. Many research works of various areas show that concept lattice structure is an effective platform for data mining, machine learning, information retrieval, software engineering, etc. This paper presents FCA for analysis and representation of biomedical data. Furthermore, we present a new lattice-based algorithm for analysis of large and high-dimensional biomedical data.","PeriodicalId":448012,"journal":{"name":"2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference","volume":"752 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116110478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-06-18DOI: 10.1109/DEST.2007.372038
Jingyu Hou, Wanlei Zhou
This paper proposes a conceptual matrix model with algorithms for biological data processing. The required elements for constructing a matrix model are discussed. The representative matrix-based methods and algorithms which have potentials in biological data processing are presented / proposed. Some application cases of the model in biological data processing are studied, which show the applicability of this model in various kinds of biological data processing. This conceptual model established a framework within which biological data processing and mining could be conducted. The model is also heuristic to other applications.
{"title":"A Conceptual Matrix Model for Biological Data Processing","authors":"Jingyu Hou, Wanlei Zhou","doi":"10.1109/DEST.2007.372038","DOIUrl":"https://doi.org/10.1109/DEST.2007.372038","url":null,"abstract":"This paper proposes a conceptual matrix model with algorithms for biological data processing. The required elements for constructing a matrix model are discussed. The representative matrix-based methods and algorithms which have potentials in biological data processing are presented / proposed. Some application cases of the model in biological data processing are studied, which show the applicability of this model in various kinds of biological data processing. This conceptual model established a framework within which biological data processing and mining could be conducted. The model is also heuristic to other applications.","PeriodicalId":448012,"journal":{"name":"2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126443564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-06-18DOI: 10.1109/DEST.2007.371958
R. Sarkar, T. Prabhakar, J. Chatterjee
India has a rich foundation of clusters, and initiatives to boost the various functional areas of a cluster by pinpointing the anomalies that cloud them can lead to their dynamism. The digital ecosystem (DE) is one approach through which diffusion and use of ICT can be made self sustaining and self enabling for clusters, specifically clusters that thrive on value addition through embodying their product with skill and craftsmanship. This paper reports initial empirical findings from a collaborative project called the 'Digital Mandi'. The digital ecosystem entails a series of interconnected and intra-dependant digital platforms, created at key institutional levels (international, national and local/Community) augmented by technical (ICT) and social networking processes that help break down barriers to both horizontal and vertical knowledge sharing. The empirical findings show that the 'ecosystem' approach speeds up the process of identification, development and uptake of innovation. We conclude that similar DBEs can be effective for skill based SME clusters facing similar challenges of competitiveness in a rapidly globalizing knowledge driven economy.
{"title":"Towards Digital Ecosystems for Skill Based Industrial Clusters: Lessons from the `Digital Mandi' Project","authors":"R. Sarkar, T. Prabhakar, J. Chatterjee","doi":"10.1109/DEST.2007.371958","DOIUrl":"https://doi.org/10.1109/DEST.2007.371958","url":null,"abstract":"India has a rich foundation of clusters, and initiatives to boost the various functional areas of a cluster by pinpointing the anomalies that cloud them can lead to their dynamism. The digital ecosystem (DE) is one approach through which diffusion and use of ICT can be made self sustaining and self enabling for clusters, specifically clusters that thrive on value addition through embodying their product with skill and craftsmanship. This paper reports initial empirical findings from a collaborative project called the 'Digital Mandi'. The digital ecosystem entails a series of interconnected and intra-dependant digital platforms, created at key institutional levels (international, national and local/Community) augmented by technical (ICT) and social networking processes that help break down barriers to both horizontal and vertical knowledge sharing. The empirical findings show that the 'ecosystem' approach speeds up the process of identification, development and uptake of innovation. We conclude that similar DBEs can be effective for skill based SME clusters facing similar challenges of competitiveness in a rapidly globalizing knowledge driven economy.","PeriodicalId":448012,"journal":{"name":"2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127311839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-06-18DOI: 10.1109/DEST.2007.372037
Y. Konno, Jianting Cao, T. Takeda, H. Endo, M. Tanaka
In this paper, we propose a robust approach of noisy blind source separation to visualize the dynamics of brain activities. To decompose the brain waves from noisy observation with high power of outliers, we propose a scale-free approach of blind source separation. Applying the proposed approach to the single-trial phantom data and AEF data, we evaluate the effectiveness of our proposed approach and visualize the dynamics of brain activities, which is impossible when analyzing the averaged data.
{"title":"Visualization of Brain Dynamics based on the Robust Approach of Blind Signal Separation","authors":"Y. Konno, Jianting Cao, T. Takeda, H. Endo, M. Tanaka","doi":"10.1109/DEST.2007.372037","DOIUrl":"https://doi.org/10.1109/DEST.2007.372037","url":null,"abstract":"In this paper, we propose a robust approach of noisy blind source separation to visualize the dynamics of brain activities. To decompose the brain waves from noisy observation with high power of outliers, we propose a scale-free approach of blind source separation. Applying the proposed approach to the single-trial phantom data and AEF data, we evaluate the effectiveness of our proposed approach and visualize the dynamics of brain activities, which is impossible when analyzing the averaged data.","PeriodicalId":448012,"journal":{"name":"2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132794560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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