Pub Date : 2010-11-29DOI: 10.1109/ICMWI.2010.5648085
Rashed K. Salem, Omar Boussai'd, J. Darmont
Relevant data for decision support systems are available everywhere and in various formats. Such data must be integrated into a unified format. Traditional data integration approaches are not adapted to handle complex data. Thus, we exploit the Active XML language for integrating complex data. Its XML part allows to unify, model and store complex data. Moreover, its services part tackles the distributed issue of data sources. Accordingly, different integration tasks are proposed as services. These services are managed via a set of active rules that are built upon metadata and events of the integration system. In this paper, we design an architecture for integrating complex data autonomously. We have also designed the workflow for data integration tasks.
{"title":"Conceptual workflow for complex data integration using AXML","authors":"Rashed K. Salem, Omar Boussai'd, J. Darmont","doi":"10.1109/ICMWI.2010.5648085","DOIUrl":"https://doi.org/10.1109/ICMWI.2010.5648085","url":null,"abstract":"Relevant data for decision support systems are available everywhere and in various formats. Such data must be integrated into a unified format. Traditional data integration approaches are not adapted to handle complex data. Thus, we exploit the Active XML language for integrating complex data. Its XML part allows to unify, model and store complex data. Moreover, its services part tackles the distributed issue of data sources. Accordingly, different integration tasks are proposed as services. These services are managed via a set of active rules that are built upon metadata and events of the integration system. In this paper, we design an architecture for integrating complex data autonomously. We have also designed the workflow for data integration tasks.","PeriodicalId":404577,"journal":{"name":"2010 International Conference on Machine and Web Intelligence","volume":"151 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124227306","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 : 2010-11-29DOI: 10.1109/ICMWI.2010.5648002
Adel Bouridah, H. Drias, Yacine Laalaoui
Tasks scheduling is one of the most important challenges in embedded hard-real-time systems. The problem is known to be NP-Hard and exhaustive search algorithms have no significant benefit in large-scale context. This paper proposes a scatter search based approach for mono-processor systems with timing, precedence and exclusion constraints with no preemption. An empirical study is undertaken and comparison is done with results of previous works.
{"title":"Scatter search for real-time scheduling with timing, precedence and exclusion constraints","authors":"Adel Bouridah, H. Drias, Yacine Laalaoui","doi":"10.1109/ICMWI.2010.5648002","DOIUrl":"https://doi.org/10.1109/ICMWI.2010.5648002","url":null,"abstract":"Tasks scheduling is one of the most important challenges in embedded hard-real-time systems. The problem is known to be NP-Hard and exhaustive search algorithms have no significant benefit in large-scale context. This paper proposes a scatter search based approach for mono-processor systems with timing, precedence and exclusion constraints with no preemption. An empirical study is undertaken and comparison is done with results of previous works.","PeriodicalId":404577,"journal":{"name":"2010 International Conference on Machine and Web Intelligence","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128047681","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 : 2010-11-29DOI: 10.1109/ICMWI.2010.5647936
Noureddine Azzouza, F. Azouaou, A. R. Ghomari
In this article, we propose a new method TKVM (Teacher's Knowledge Visualization Method) to map school teachers' knowledge by using their school website content. We use then this generated knowledge to create knowledge-driven cartographies. School websites are essential to share information and data between users, but the knowledge contained in these websites are often informal and difficult to locate. This is due to the large amount of existing pages which make navigation more complex. Then, to simplify knowledge localization, we map the school website content and generate ontology-driven visual cartographies where users can find the school teachers' skills and knowledge. Our automatic method and tool enables us to process a large collection of web pages in a short time. Our method comprises four steps: data preparation, ontology domain construction, mapping and visualization.
{"title":"TKVM: A method and tool for school web sites knowledge cartography","authors":"Noureddine Azzouza, F. Azouaou, A. R. Ghomari","doi":"10.1109/ICMWI.2010.5647936","DOIUrl":"https://doi.org/10.1109/ICMWI.2010.5647936","url":null,"abstract":"In this article, we propose a new method TKVM (Teacher's Knowledge Visualization Method) to map school teachers' knowledge by using their school website content. We use then this generated knowledge to create knowledge-driven cartographies. School websites are essential to share information and data between users, but the knowledge contained in these websites are often informal and difficult to locate. This is due to the large amount of existing pages which make navigation more complex. Then, to simplify knowledge localization, we map the school website content and generate ontology-driven visual cartographies where users can find the school teachers' skills and knowledge. Our automatic method and tool enables us to process a large collection of web pages in a short time. Our method comprises four steps: data preparation, ontology domain construction, mapping and visualization.","PeriodicalId":404577,"journal":{"name":"2010 International Conference on Machine and Web Intelligence","volume":"209 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132185329","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 : 2010-11-29DOI: 10.1109/ICMWI.2010.5648093
Lydia Nadia Khelifa, Rafik Mezil, Aziz Si-Mohammed, T. Bouabana-Tebibel
This paper presents an integration of a multicultural and multilingual wiktionary in human and social sciences in a peer-to-peer network. This on-line dictionary was developed as part of the FSP project to allow researchers from both side of Mediterranean Sea to exchange and to share knowledge in the human and social sciences domain. The present extension would allow off-line collaborative edition, scalability, management of inter-wikis link, an advanced search for constructing the global sheet by interrogating specific peers and finally a wiki page replication strategy to ensure data availability. The system architecture and the prototype are presented.
{"title":"A human and social sciences wiktionary in a peer-to-peer network","authors":"Lydia Nadia Khelifa, Rafik Mezil, Aziz Si-Mohammed, T. Bouabana-Tebibel","doi":"10.1109/ICMWI.2010.5648093","DOIUrl":"https://doi.org/10.1109/ICMWI.2010.5648093","url":null,"abstract":"This paper presents an integration of a multicultural and multilingual wiktionary in human and social sciences in a peer-to-peer network. This on-line dictionary was developed as part of the FSP project to allow researchers from both side of Mediterranean Sea to exchange and to share knowledge in the human and social sciences domain. The present extension would allow off-line collaborative edition, scalability, management of inter-wikis link, an advanced search for constructing the global sheet by interrogating specific peers and finally a wiki page replication strategy to ensure data availability. The system architecture and the prototype are presented.","PeriodicalId":404577,"journal":{"name":"2010 International Conference on Machine and Web Intelligence","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121189247","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 : 2010-11-29DOI: 10.1109/ICMWI.2010.5647919
Rémi Auguste, Ahmed El Ghini, M. Bilasco, Nacim Ihaddadene, C. Djeraba
The analysis and interpretation of video contents is an important component of modern vision applications such as surveillance, motion synthesis and web-based user interfaces. A requirement shared by these very different applications is the ability to learn statistical models of appearance and motion from a collection of videos, and then use them for recognizing actions or persons in a new video. Measuring the similarity and dissimilarity between video sequences is crucial in any video sequences analysis and decision-making process. Furthermore, many data analysis processes effectively deal with moving objects and need to compute the similarity between trajectories. In this paper, we propose a similarity measure for multivariate time series using the Euclidean distance based on Vector Autoregressive (VAR) models. The proposed approach allows us to identify and recognize actions of persons in video sequences. The performance of our methodology is tested on a real dataset.
{"title":"Motion similarity measure between video sequences using multivariate time series modeling","authors":"Rémi Auguste, Ahmed El Ghini, M. Bilasco, Nacim Ihaddadene, C. Djeraba","doi":"10.1109/ICMWI.2010.5647919","DOIUrl":"https://doi.org/10.1109/ICMWI.2010.5647919","url":null,"abstract":"The analysis and interpretation of video contents is an important component of modern vision applications such as surveillance, motion synthesis and web-based user interfaces. A requirement shared by these very different applications is the ability to learn statistical models of appearance and motion from a collection of videos, and then use them for recognizing actions or persons in a new video. Measuring the similarity and dissimilarity between video sequences is crucial in any video sequences analysis and decision-making process. Furthermore, many data analysis processes effectively deal with moving objects and need to compute the similarity between trajectories. In this paper, we propose a similarity measure for multivariate time series using the Euclidean distance based on Vector Autoregressive (VAR) models. The proposed approach allows us to identify and recognize actions of persons in video sequences. The performance of our methodology is tested on a real dataset.","PeriodicalId":404577,"journal":{"name":"2010 International Conference on Machine and Web Intelligence","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116986333","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 : 2010-11-29DOI: 10.1109/ICMWI.2010.5647950
David Urbansky, Robert Willner, A. Schill
Ontology engineering is the task of creating and refining a knowledge model for one or multiple domains. This process is difficult and a great deal of time is required to refine the ontology. In this paper, we present a system that semi-automatically aids the user in creating an ontology using a standard web browser. Our system helps to create ontologies whose target domain can be found on the web and which will be used for extracting knowledge to populate the ontology later on.
{"title":"Ontofly: Ontology engineering using the web","authors":"David Urbansky, Robert Willner, A. Schill","doi":"10.1109/ICMWI.2010.5647950","DOIUrl":"https://doi.org/10.1109/ICMWI.2010.5647950","url":null,"abstract":"Ontology engineering is the task of creating and refining a knowledge model for one or multiple domains. This process is difficult and a great deal of time is required to refine the ontology. In this paper, we present a system that semi-automatically aids the user in creating an ontology using a standard web browser. Our system helps to create ontologies whose target domain can be found on the web and which will be used for extracting knowledge to populate the ontology later on.","PeriodicalId":404577,"journal":{"name":"2010 International Conference on Machine and Web Intelligence","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125900948","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 : 2010-11-29DOI: 10.1109/ICMWI.2010.5647931
Mohamed Cherif Nait-Hamoud, A. Moussaoui
In this paper we propose two novel methods of ECG classification to discriminate five heart beat types. The first approach combines principal component analysis (PCA) and modified fuzzy one-against-one (MFOAO) method for multiclass categorization. The fuzzy one-against-one method (FOAO) converts the n-class problem of classification to n(n-1)/2 two-class problems, and performs the binary classification with SVM. It was introduced to solve the problem of the unclassified regions induced by the classical pairwise classification one-against-one. Our novel modified algorithm of FOAO uses fuzzy support vector machine (FSVM) for the binary classification in order to discard outliers. The second approach integrates PCA, unbalanced clustering (UC) and FOAO algorithms. PCA is used to extract the principal characteristics of the signal and reduce its dimension. UC algorithm is used to discard outliers, and reduce the training set by replacing samples with prototypes. The first goal of this work is to compare the ability of the two novel methods to discard outliers and enhance the performance of the classification with PCA and FOAO; the second one is to highlight the efficiency of the combined method PCA-UC-FOAO in the classification of long term ECG records.
{"title":"Two novel methods for multiclass ECG arrhythmias classification based on PCA, fuzzy support vector machine and unbalanced clustering","authors":"Mohamed Cherif Nait-Hamoud, A. Moussaoui","doi":"10.1109/ICMWI.2010.5647931","DOIUrl":"https://doi.org/10.1109/ICMWI.2010.5647931","url":null,"abstract":"In this paper we propose two novel methods of ECG classification to discriminate five heart beat types. The first approach combines principal component analysis (PCA) and modified fuzzy one-against-one (MFOAO) method for multiclass categorization. The fuzzy one-against-one method (FOAO) converts the n-class problem of classification to n(n-1)/2 two-class problems, and performs the binary classification with SVM. It was introduced to solve the problem of the unclassified regions induced by the classical pairwise classification one-against-one. Our novel modified algorithm of FOAO uses fuzzy support vector machine (FSVM) for the binary classification in order to discard outliers. The second approach integrates PCA, unbalanced clustering (UC) and FOAO algorithms. PCA is used to extract the principal characteristics of the signal and reduce its dimension. UC algorithm is used to discard outliers, and reduce the training set by replacing samples with prototypes. The first goal of this work is to compare the ability of the two novel methods to discard outliers and enhance the performance of the classification with PCA and FOAO; the second one is to highlight the efficiency of the combined method PCA-UC-FOAO in the classification of long term ECG records.","PeriodicalId":404577,"journal":{"name":"2010 International Conference on Machine and Web Intelligence","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126613344","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 : 2010-11-29DOI: 10.1109/ICMWI.2010.5648163
Chouarfia Abdallah, Hamdadou Djamel
The omnipresence of devices around the user must provide to him useful and relevant services according to its needs. However, each user wants to control how interact with his environment, in particular which services or data he is ready to share with this environment. Consequently, it is necessary to ensure a transparent access to the resources form any point of the pervasive space, to any probably identified and authenticated user and at any moment. Domotic is a pervasive space; Living space of the disabled andor assisted persons is a particular case of domotic. In this paper, we suggest implementing a management and an access control based on policies to ensure the safety in a pervasive space where the information can be privileged andor confidential. According to the obtained results, we adapt our proposition considering living space of the assisted persons where the resources (power of calculate, storage) are limited.
{"title":"Policy based management in the pervasive systems","authors":"Chouarfia Abdallah, Hamdadou Djamel","doi":"10.1109/ICMWI.2010.5648163","DOIUrl":"https://doi.org/10.1109/ICMWI.2010.5648163","url":null,"abstract":"The omnipresence of devices around the user must provide to him useful and relevant services according to its needs. However, each user wants to control how interact with his environment, in particular which services or data he is ready to share with this environment. Consequently, it is necessary to ensure a transparent access to the resources form any point of the pervasive space, to any probably identified and authenticated user and at any moment. Domotic is a pervasive space; Living space of the disabled andor assisted persons is a particular case of domotic. In this paper, we suggest implementing a management and an access control based on policies to ensure the safety in a pervasive space where the information can be privileged andor confidential. According to the obtained results, we adapt our proposition considering living space of the assisted persons where the resources (power of calculate, storage) are limited.","PeriodicalId":404577,"journal":{"name":"2010 International Conference on Machine and Web Intelligence","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116810639","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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