Larbi Abdelmadjid, M. Mimoun, Seddiki Bachir, Larbi Ismail
{"title":"A semi-automatic solution for XML query response enrichment using a terminological domain ontology","authors":"Larbi Abdelmadjid, M. Mimoun, Seddiki Bachir, Larbi Ismail","doi":"10.1145/3129186.3131941","DOIUrl":"https://doi.org/10.1145/3129186.3131941","url":null,"abstract":"The introduction of data semantics in various fields of science by referring to the ontological database is becoming more and more necessary. With the proliferation of domain ontologies and the large volume of data to be processed, it has become necessary to have data management systems based on ontological systems. Such a system can be exploited via the web as is the case with XML databases, which will allow us to: - use semantic databases via the Internet. - To enrich responses to XML queries by using domain terminology ontology. Also, XML present a flexible hierarchical model suitable to represent huge amounts of data with no absolute and fixed schema, In order to highlight the usefulness of introducing the semantics in the XML database and to enrich the answers to the queries, we have proposed a semi-automatic solution that we applied it for pharmaceutical databases, and which gave very encouraging preliminary results.","PeriodicalId":405520,"journal":{"name":"Proceedings of the International Conference on Computing for Engineering and Sciences","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115090324","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}
{"title":"Revisiting Interoperability Issues and Challenges in the Era of Ubiquitous Social Web of Everything","authors":"E. Kajan","doi":"10.1145/3129186.3129187","DOIUrl":"https://doi.org/10.1145/3129186.3129187","url":null,"abstract":"In this paper, highlights of key note speech given by author at 3rd ACM ICCES in Istanbul are presented. It is based on author's research on open systems, interoperability issues and solutions research since 1990s and on long lasting international cooperation in examining the blend of social computing with business processes, social machines and smart cities.","PeriodicalId":405520,"journal":{"name":"Proceedings of the International Conference on Computing for Engineering and Sciences","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116340328","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}
{"title":"Oriented Basic Image Features Column for isolated handwritten digit","authors":"A. Gattal, Chawki Djeddi, Y. Chibani, I. Siddiqi","doi":"10.1145/3129186.3129189","DOIUrl":"https://doi.org/10.1145/3129186.3129189","url":null,"abstract":"Several approaches for handwritten digits recognition are proposed an appearance feature-based approach. In this paper we process handwritten digit image without deskewing using oriented Basic Image Features (oBIF) Column scheme extracted from the complete image as well as from different regions of the image by applying a uniform grid sampling to the image. oBIF Column scheme is a very efficient feature descriptor for handwritten digits which is arise from variations in size, shape and slant. Moreover, 4th Nearest Neighbor (4-NN) has been employed as classifier which has better responses. The experimental study is conducted on MNIST dataset and 98.32% recognition rate has been achieved which is comparable with the state of the art.","PeriodicalId":405520,"journal":{"name":"Proceedings of the International Conference on Computing for Engineering and Sciences","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117116991","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}
{"title":"Distribution, Directional, structural and concavity features for historical Arabic handwritten recognition: a comparative study","authors":"M. Gagaoua, H. Ghilas, A. Tari, M. Cheriet","doi":"10.1145/3129186.3129200","DOIUrl":"https://doi.org/10.1145/3129186.3129200","url":null,"abstract":"In the process of automatic handwritten recognition especially in Arabic historical documents, the feature extraction is an important step, which find a set of measured values that accurately discriminate the input handwritten words or characters. In this paper, we try to determine how features designed for Arabic handwritten recognition can be efficient in Arabic historical documents by conducting a comparative study of four types of features (distribution, directional, structural and concavity features). The recognition process is based on Hidden Markov models with HTK toolkit and sliding window features. Words HMMs are learned using embedded training based on character HMM models. Experiments are performed on the benchmark Iben Sina database of Arabic historical documents.","PeriodicalId":405520,"journal":{"name":"Proceedings of the International Conference on Computing for Engineering and Sciences","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132967381","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}
{"title":"Prediction of breakdowns in smart grids: a novel approach","authors":"A. Khediri, Mohamed Ridda Laouar","doi":"10.1145/3129186.3129202","DOIUrl":"https://doi.org/10.1145/3129186.3129202","url":null,"abstract":"Progressively become more difficult the process of handling breakdowns and blackouts. Due to the uncertain, intricate and the nature of electric issues, traditional power grids are no longer convenient. These problems sheds light on the need for technology improvement. Although, in Quite recently years, considerable attention has been paid to the prediction of failures, breakdowns and blackouts in smart grid; it still represent a critical issue. This paper highlight the problem of prediction of breakdowns in smart grids, we addresses the integration of novel techniques that contribute to the prediction process by using machine learning tools (Naive Bayes). Hence, we endeavor to offer a novel approach that may improve the resilience of the smart grid.","PeriodicalId":405520,"journal":{"name":"Proceedings of the International Conference on Computing for Engineering and Sciences","volume":"238 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116109966","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}
{"title":"Towards a classification of information technologies","authors":"Rokia Bouzidi, Fahima Nader, R. Chalal","doi":"10.1145/3129186.3129191","DOIUrl":"https://doi.org/10.1145/3129186.3129191","url":null,"abstract":"Information technologies represent a heavyweight financial investment for many enterprises when implementing their information systems. That's why enterprises should meticulously choose the suitable technology to improve business management processes. To do so, a clear categorization of the technology according to the enterprise's objective is necessary. The present work is an attempt to classify information technology according to its locus of impact among 12 major technology artifacts. In each IT group previously identified, we precise on which level this technology operates (operational level, decisional level). To build this classification we first clarify the IT definition through a literature review.","PeriodicalId":405520,"journal":{"name":"Proceedings of the International Conference on Computing for Engineering and Sciences","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122565091","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}
{"title":"Proceedings of the International Conference on Computing for Engineering and Sciences","authors":"R. Laouar, E. Kajan","doi":"10.1145/3129186","DOIUrl":"https://doi.org/10.1145/3129186","url":null,"abstract":"The proceedings of ICCES'17 includes selected papers from the ACM - International Conference of Computing for engineering and Sciences (ICCES'17), held in Istanbul, Turkey during July 22-24, 2017.","PeriodicalId":405520,"journal":{"name":"Proceedings of the International Conference on Computing for Engineering and Sciences","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127443145","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}
{"title":"A semantic E-learning and E-assessment system of learners","authors":"Wiem Ben Khalifa, Dalila Souilem, M. Neji","doi":"10.1145/3129186.3129190","DOIUrl":"https://doi.org/10.1145/3129186.3129190","url":null,"abstract":"The evolutions of social Web and semantic Web lead us to ask ourselves about the way of supporting the personalization of learning by means of intelligent filtering of educational resources published in the digital networks. We recommend personalized courses of learning articulated around a first educational course defined upstream. Resuming the context and the stakes in the personalization, we also suggest anchoring the personalization of learning in a community of interest within a group of learners enrolled in the same training. This reflection is supported by the display of an active and semantic system of learning dedicated to the constitution of personalized to measure courses and in the due time.","PeriodicalId":405520,"journal":{"name":"Proceedings of the International Conference on Computing for Engineering and Sciences","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130621910","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}