Pub Date : 2007-06-18DOI: 10.1109/DEST.2007.371955
Loma Uden, Ince T. Wangsa, Ernesto Damiani
E-learning is learning through the use of technologies. It is growing at a rapid pace. Today more organizations are taking up e-learning. While e-learning technology has matured considerably since its inception, there are still many problems that practitioners And when come to implementing e-learning. One of the main problems is the complexity of integrating these systems with content and with other business systems. If e-learning is to be successful, it is important that we must provide greater access to education and support educational programs that reflect broader strategic business goals. It is our belief that the e-learning industry should learn key lessons from e-business. This paper discusses the limitations of current e-learning systems and how an e-learning ecosystem can help organizations to achieve the benefits of an integrated approach to develop e-learning systems.
{"title":"The future of E-learning: E-learning ecosystem","authors":"Loma Uden, Ince T. Wangsa, Ernesto Damiani","doi":"10.1109/DEST.2007.371955","DOIUrl":"https://doi.org/10.1109/DEST.2007.371955","url":null,"abstract":"E-learning is learning through the use of technologies. It is growing at a rapid pace. Today more organizations are taking up e-learning. While e-learning technology has matured considerably since its inception, there are still many problems that practitioners And when come to implementing e-learning. One of the main problems is the complexity of integrating these systems with content and with other business systems. If e-learning is to be successful, it is important that we must provide greater access to education and support educational programs that reflect broader strategic business goals. It is our belief that the e-learning industry should learn key lessons from e-business. This paper discusses the limitations of current e-learning systems and how an e-learning ecosystem can help organizations to achieve the benefits of an integrated approach to develop e-learning systems.","PeriodicalId":448012,"journal":{"name":"2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference","volume":"28 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":"114735526","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.2007.371939
D. Wood
{"title":"Eco-Tourists, Eco-Tourism and Eco-environments: A social, cultural and economic impact","authors":"D. Wood","doi":"10.1109/DEST.2007.371939","DOIUrl":"https://doi.org/10.1109/DEST.2007.371939","url":null,"abstract":"","PeriodicalId":448012,"journal":{"name":"2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference","volume":"21 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":"125547230","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.2007.372042
A. Sidhu, T. Dillon, E. Chang
The goal of this paper is to survey existing biomedical ontologies and their developments in 2006. This paper discusses features of biomedical ontologies that allow true information integration in biomedical domain. The paper is compilation of several biomedical ontologies like UMLS, Gene Ontology, Protein Ontology, MGED Ontology, and TAMBIS Ontology that have developed, often reflecting mere relations of 'association' between what are called 'concepts', and serving primarily the purposes of information extraction from on-line biomedical literature and databases.
{"title":"Current Status of Biomedical Ontologies: Developments in 2006","authors":"A. Sidhu, T. Dillon, E. Chang","doi":"10.1109/DEST.2007.372042","DOIUrl":"https://doi.org/10.1109/DEST.2007.372042","url":null,"abstract":"The goal of this paper is to survey existing biomedical ontologies and their developments in 2006. This paper discusses features of biomedical ontologies that allow true information integration in biomedical domain. The paper is compilation of several biomedical ontologies like UMLS, Gene Ontology, Protein Ontology, MGED Ontology, and TAMBIS Ontology that have developed, often reflecting mere relations of 'association' between what are called 'concepts', and serving primarily the purposes of information extraction from on-line biomedical literature and databases.","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":"123388037","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.2007.372026
Xiaotian Xu, Y. Guan, K. C. Teh, B. Ng
This paper presents an improved orthogonal dirty-paper coding method for digital watermarking applications such as multimedia data authentication or digital rights management The dirty-paper coding is based on the orthogonal Walsh-Hadamard Codes with Binning. Codeword selection is based on maximum correlation to the encoder side information. In contrast to the conventional dirty-paper codes, the encoder side information is based on a constrained extraction of the host data. The decoding error rate expression of the proposed dirty-paper watermarking scheme is derived and verified by simulations to be fairly accurate. It is found that this watermarking method is able to achieve very low visual distortion to host image and very good detection probability for the embedded watermark information.
{"title":"An Improved Orthogonal Dirty-Paper Coding Method for Watermarking Applications","authors":"Xiaotian Xu, Y. Guan, K. C. Teh, B. Ng","doi":"10.1109/DEST.2007.372026","DOIUrl":"https://doi.org/10.1109/DEST.2007.372026","url":null,"abstract":"This paper presents an improved orthogonal dirty-paper coding method for digital watermarking applications such as multimedia data authentication or digital rights management The dirty-paper coding is based on the orthogonal Walsh-Hadamard Codes with Binning. Codeword selection is based on maximum correlation to the encoder side information. In contrast to the conventional dirty-paper codes, the encoder side information is based on a constrained extraction of the host data. The decoding error rate expression of the proposed dirty-paper watermarking scheme is derived and verified by simulations to be fairly accurate. It is found that this watermarking method is able to achieve very low visual distortion to host image and very good detection probability for the embedded watermark information.","PeriodicalId":448012,"journal":{"name":"2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference","volume":"69 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":"128014477","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.2007.371942
J. Kennedy, M. Vidal, Claudius Masuch
Outline and Objectives of this tutorial: This DBE Tutorial session will introduce and demonstrate the software delivered to the open source community by the European Commission funded Digital Business Ecosystem (DBE) project (h). A general introduction to the DBE project will be followed by an overview of the architecture of the open-source DBE platform. All three core components of the DBE will then be explored in some depth:
{"title":"Digital Business Ecosystems (DBE)","authors":"J. Kennedy, M. Vidal, Claudius Masuch","doi":"10.1109/DEST.2007.371942","DOIUrl":"https://doi.org/10.1109/DEST.2007.371942","url":null,"abstract":"Outline and Objectives of this tutorial: This DBE Tutorial session will introduce and demonstrate the software delivered to the open source community by the European Commission funded Digital Business Ecosystem (DBE) project (h). A general introduction to the DBE project will be followed by an overview of the architecture of the open-source DBE platform. All three core components of the DBE will then be explored in some depth:","PeriodicalId":448012,"journal":{"name":"2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference","volume":"112 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":"131424438","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.2007.372023
M. Mertik, Mykola Pechenizkiy, G. Štiglic, P. Kokol
When first faced with a learning task, it is often not clear what a good representation of the training data should look like. We are often forced to create some set of features that appear plausible, without any strong confidence that they will yield superior learning. Beside, we often do not have any prior knowledge of what learning method is the best to apply, and thus often try multiple methods in an attempt to find the one that performs best. This paper describes a new method and its preliminary study for constructing features based on cellular automata (CA). Our approach uses self-organisation ability of cellular automata by constructing features being most efficient for making predictions. We present and compare the CA approach with standard genetic algorithm (GA) which both use genetic programming (GP) for constructing the features. We show and discuss some interesting properties of using CA approach in our preliminary experimental study by constructing features on synthetically generated dataset and benchmark datasets from the UCI machine learning repository. Based on the interesting results, we conclude with directions and orientation of the future work with ideas of applicability of CA approach in the feature.
{"title":"Using Cellular Automata for feature construction - preliminary study","authors":"M. Mertik, Mykola Pechenizkiy, G. Štiglic, P. Kokol","doi":"10.1109/DEST.2007.372023","DOIUrl":"https://doi.org/10.1109/DEST.2007.372023","url":null,"abstract":"When first faced with a learning task, it is often not clear what a good representation of the training data should look like. We are often forced to create some set of features that appear plausible, without any strong confidence that they will yield superior learning. Beside, we often do not have any prior knowledge of what learning method is the best to apply, and thus often try multiple methods in an attempt to find the one that performs best. This paper describes a new method and its preliminary study for constructing features based on cellular automata (CA). Our approach uses self-organisation ability of cellular automata by constructing features being most efficient for making predictions. We present and compare the CA approach with standard genetic algorithm (GA) which both use genetic programming (GP) for constructing the features. We show and discuss some interesting properties of using CA approach in our preliminary experimental study by constructing features on synthetically generated dataset and benchmark datasets from the UCI machine learning repository. Based on the interesting results, we conclude with directions and orientation of the future work with ideas of applicability of CA approach in the feature.","PeriodicalId":448012,"journal":{"name":"2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference","volume":"42 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":"130504192","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.2007.371969
M. Indrawan, Sea Ling, S. Loke
A digital ecosystem usually refers to a collection of small and medium enterprise businesses that interacts closely as a system. In this paper, we present a different type of digital ecosystems. We introduce the idea of creating an ecosystem from a number of smart devices. This ecosystem is categorised as a micro ecosystem rather than macro ecosystem. The proposed model of this digital ecosystem is called device ecology.
{"title":"Device Ecology: A Micro Digital Ecosystem","authors":"M. Indrawan, Sea Ling, S. Loke","doi":"10.1109/DEST.2007.371969","DOIUrl":"https://doi.org/10.1109/DEST.2007.371969","url":null,"abstract":"A digital ecosystem usually refers to a collection of small and medium enterprise businesses that interacts closely as a system. In this paper, we present a different type of digital ecosystems. We introduce the idea of creating an ecosystem from a number of smart devices. This ecosystem is categorised as a micro ecosystem rather than macro ecosystem. The proposed model of this digital ecosystem is called device ecology.","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":"121107779","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.2007.371959
L. Bodenstaff, A. Wombacher, M. Reichert, R. Wieringa
Collaborations among businesses can be described from different viewpoints. Two of these viewpoints are the value viewpoint, representing estimated values exchanged in a collaboration, and the coordination viewpoint, representing messages exchanged between the actors to coordinate the execution of a collaboration. To observe and maintain the value viewpoint during the complete life cycle, the estimated values have to be validated during the execution of the collaboration. However, since the value model is not implemented, the necessary information for monitoring the value viewpoint needs to be derived from the coordination viewpoint. Relating coordination and value viewpoint is a difficult process because the coordination viewpoint lacks information present in the value viewpoint. In this paper we define the relation between both viewpoints for the complete collaboration life cycle. Furthermore, we provide a mechanism to monitor the collaboration from a value viewpoint.
{"title":"Monitoring Collaboration from a Value Perspective","authors":"L. Bodenstaff, A. Wombacher, M. Reichert, R. Wieringa","doi":"10.1109/DEST.2007.371959","DOIUrl":"https://doi.org/10.1109/DEST.2007.371959","url":null,"abstract":"Collaborations among businesses can be described from different viewpoints. Two of these viewpoints are the value viewpoint, representing estimated values exchanged in a collaboration, and the coordination viewpoint, representing messages exchanged between the actors to coordinate the execution of a collaboration. To observe and maintain the value viewpoint during the complete life cycle, the estimated values have to be validated during the execution of the collaboration. However, since the value model is not implemented, the necessary information for monitoring the value viewpoint needs to be derived from the coordination viewpoint. Relating coordination and value viewpoint is a difficult process because the coordination viewpoint lacks information present in the value viewpoint. In this paper we define the relation between both viewpoints for the complete collaboration life cycle. Furthermore, we provide a mechanism to monitor the collaboration from a value viewpoint.","PeriodicalId":448012,"journal":{"name":"2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference","volume":"8 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":"128863032","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.2007.372048
B. Hofreiter
UN/CEFACT's modeling methodology (UMM) is used to develop business collaboration models independent of the IT-platform. The information being exchanged is modeled by class diagrams. It is expected that later on these class diagrams are mapped to business document standards. Since it is hard to predict which standards will be dominant in the future, we do not propose direct mappings from UMM business information class diagrams to the specific business document languages. Instead we propose an ontology layer to represent the information identified in UMM. This ontology layer is based on UN/CEFACT'score components. For this purpose we have developed an RDFS schema (RDFS) for the core components meta model. Furthermore, we define a mapping from the UMM class diagram to the core component RDFS.
{"title":"Binding UMM Business Documents to a Business Document Ontology","authors":"B. Hofreiter","doi":"10.1109/DEST.2007.372048","DOIUrl":"https://doi.org/10.1109/DEST.2007.372048","url":null,"abstract":"UN/CEFACT's modeling methodology (UMM) is used to develop business collaboration models independent of the IT-platform. The information being exchanged is modeled by class diagrams. It is expected that later on these class diagrams are mapped to business document standards. Since it is hard to predict which standards will be dominant in the future, we do not propose direct mappings from UMM business information class diagrams to the specific business document languages. Instead we propose an ontology layer to represent the information identified in UMM. This ontology layer is based on UN/CEFACT'score components. For this purpose we have developed an RDFS schema (RDFS) for the core components meta model. Furthermore, we define a mapping from the UMM class diagram to the core component RDFS.","PeriodicalId":448012,"journal":{"name":"2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference","volume":"100 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":"114632284","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.2007.372035
Mihaela Ulieru
Any critical infrastructure is controlled and managed by networked information and communication technologies (ICT) systems. Tremendous progress in the emerging area of ubiquitous, pervasive and tangible computing enables hardware and software to be integrated to a degree that makes possible a technological revolution in which ICT systems merged with physical infrastructure will be transformed together into a vast intelligence network, called an 'eNetwork'. eNetworks are the 'nervous system' of interdependent critical infrastructures and as such are the 'the weakest link'. We introduce a novel approach to building resilient critical supply networks of any kind (electricity, water, gas, finances, materials and products, etc). The proposed approach endows the eNetworked infrastructure with self-awareness such that it is able to identify possible threats or emerging vulnerabilities and reconfigure itself to attain resilience to both accidental failures and malicious attacks. By using natural models of emergence, much in the same manner that DNA is controlled in genetic engineering, we will be able to control the emergence of a network configuration resilient to anticipated threats before they manifest. The novelty consists in the integration of context-aware modelling as a tool for controlling the clustering mechanism through which the eNetwork self-organizes its services to tune its resilience according to the dynamics of the occurring situation. A significant step forward in the area of complexity science this novel approach enables a major breakthrough in the way we interact with the surrounding environment and physical world. Resilient eNetworks open perspectives unthinkable before on how to approach major technological, economic, societal and ecological problems of international concern, such as blackout-free electricity generation and distribution, optimization of energy consumption, networked transportation and manufacturing, disaster response, efficient agriculture, environmental monitoring, financial risk and sustainability assessment.
{"title":"Design for Resilience of Networked Critical Infrastructures","authors":"Mihaela Ulieru","doi":"10.1109/DEST.2007.372035","DOIUrl":"https://doi.org/10.1109/DEST.2007.372035","url":null,"abstract":"Any critical infrastructure is controlled and managed by networked information and communication technologies (ICT) systems. Tremendous progress in the emerging area of ubiquitous, pervasive and tangible computing enables hardware and software to be integrated to a degree that makes possible a technological revolution in which ICT systems merged with physical infrastructure will be transformed together into a vast intelligence network, called an 'eNetwork'. eNetworks are the 'nervous system' of interdependent critical infrastructures and as such are the 'the weakest link'. We introduce a novel approach to building resilient critical supply networks of any kind (electricity, water, gas, finances, materials and products, etc). The proposed approach endows the eNetworked infrastructure with self-awareness such that it is able to identify possible threats or emerging vulnerabilities and reconfigure itself to attain resilience to both accidental failures and malicious attacks. By using natural models of emergence, much in the same manner that DNA is controlled in genetic engineering, we will be able to control the emergence of a network configuration resilient to anticipated threats before they manifest. The novelty consists in the integration of context-aware modelling as a tool for controlling the clustering mechanism through which the eNetwork self-organizes its services to tune its resilience according to the dynamics of the occurring situation. A significant step forward in the area of complexity science this novel approach enables a major breakthrough in the way we interact with the surrounding environment and physical world. Resilient eNetworks open perspectives unthinkable before on how to approach major technological, economic, societal and ecological problems of international concern, such as blackout-free electricity generation and distribution, optimization of energy consumption, networked transportation and manufacturing, disaster response, efficient agriculture, environmental monitoring, financial risk and sustainability assessment.","PeriodicalId":448012,"journal":{"name":"2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference","volume":"43 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":"130774528","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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