Proceedings of the 8th International Conference on Management of Digital EcoSystems最新文献_第2页

Mining and visualizing robust maximal association rules on highly variable textual data in entrepreneurship 创业中高度可变文本数据的鲁棒最大关联规则挖掘与可视化

Proceedings of the 8th International Conference on Management of Digital EcoSystems Pub Date : 2016-11-01 DOI: 10.1145/3012071.3012097

Frédéric Simard, J. St-Pierre, Ismaïl Biskri

引用次数: 3

Cloud-based semantic platform for dynamic management of context-aware mobile ERP applications 基于云的语义平台，用于上下文感知移动ERP应用程序的动态管理

Proceedings of the 8th International Conference on Management of Digital EcoSystems Pub Date : 2016-11-01 DOI: 10.1145/3012071.3012076

Hamza Reffad, A. Alti, P. Roose

{"title":"Cloud-based semantic platform for dynamic management of context-aware mobile ERP applications","authors":"Hamza Reffad, A. Alti, P. Roose","doi":"10.1145/3012071.3012076","DOIUrl":"https://doi.org/10.1145/3012071.3012076","url":null,"abstract":"Mobile cloud computing (MCC) has attracted more and more attention from both Small and Medium Enterprises (SMEs). MCC provides access to cloud services for mobile devices. With the growing popularity of smart mobile devices, customers need efficient and new high quality services. In this context, mobile ERP services management and adaptation at real time are becoming a challenging task. However, it is necessary to handle in a dynamic intelligent and transparent platform various mobile cloud services provided by multiple cloud providers with several qualities. This paper presents CloudCxQERP platform, which is a cloud-based semantic platform for dynamic management of context-aware mobile ERP applications. It is based on semantic web technologies and cloud computing and provides fast ERP development process and \"an ecosystem\" of enterprises that ensures quality customer service. Moreover, our platform provides a middleware that offers to users more efficient services corresponding to current situations and adapts its ERP applications more quickly and cost effectively. Experiments are based on online packaging boxes services.","PeriodicalId":294250,"journal":{"name":"Proceedings of the 8th International Conference on Management of Digital EcoSystems","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124872781","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}

引用次数: 3

A robust associative watermarking technique based on frequent pattern mining and texture analysis 基于频繁模式挖掘和纹理分析的鲁棒关联水印技术

Proceedings of the 8th International Conference on Management of Digital EcoSystems Pub Date : 2016-11-01 DOI: 10.1145/3012071.3012101

Musab Ghadi, L. Laouamer, Laurent Nana, A. Pascu

{"title":"A robust associative watermarking technique based on frequent pattern mining and texture analysis","authors":"Musab Ghadi, L. Laouamer, Laurent Nana, A. Pascu","doi":"10.1145/3012071.3012101","DOIUrl":"https://doi.org/10.1145/3012071.3012101","url":null,"abstract":"Nowadays, the principle of image mining plays a vital role in various areas of our life, where numerous frameworks based on image mining are proposed for object recognition, object tracking, sensing images and medical image diagnosis. Nevertheless, the research in the image authentication based on image mining is still confined. Therefore, this paper comes to present an efficient engagement between the frequent pattern mining and digital watermarking to contribute significantly in the authentication of images transmitted via public networks. The proposed framework exploits some robust features of image to extract the frequent patterns in the image data. The maximal relevant patterns are used to discriminate between the textured and smooth blocks within the image, where the texture blocks are more appropriate to embed the secret data than smooth blocks. The experiment's result proves the efficiency of the proposed framework in terms of stabilization and robustness against different kind of attacks. The results are interesting and remarkable to preserve the image authentication.","PeriodicalId":294250,"journal":{"name":"Proceedings of the 8th International Conference on Management of Digital EcoSystems","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115049364","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}

引用次数: 8

A knowledge-based approach for self-healing service-oriented applications 用于自修复面向服务的应用程序的基于知识的方法

Proceedings of the 8th International Conference on Management of Digital EcoSystems Pub Date : 2016-11-01 DOI: 10.1145/3012071.3012100

Rafael Angarita, M. Rukoz, Maude Manouvrier, Yudith Cardinale

引用次数: 5

Towards an automatic analyze and standardization of unstructured data in the context of big and linked data 在大数据和关联数据的背景下，实现非结构化数据的自动分析和标准化

Proceedings of the 8th International Conference on Management of Digital EcoSystems Pub Date : 2016-11-01 DOI: 10.1145/3012071.3012103

Hammou Fadili, C. Jouis

{"title":"Towards an automatic analyze and standardization of unstructured data in the context of big and linked data","authors":"Hammou Fadili, C. Jouis","doi":"10.1145/3012071.3012103","DOIUrl":"https://doi.org/10.1145/3012071.3012103","url":null,"abstract":"Unstructured data refers to information that either does not have a pre-defined data model or is not organized in a pre-defined manner. Many studies confirm that around 80--90% of all produced information is in unstructured form. So this kind of content, rich and most importantly too precious, must be integrated and taken into consideration for processing and exploitation: extraction of relevant information from heterogeneous textual data. The goal of the research described here is to present an approach for automating the detection and the extraction of meaning from unstructured Web using its normalized part: Web of data & Linked Open data (LOD) such as RDF WordNet, DBpedia, etc. The process follows a \"cyclical process\" that consists of two phases (a) creating & generating normalized smart data by the experts or automatically, (b) exploiting the created data in (a), as \"validated expert data\", to analyze the Big Data and generate automatically new ones by learning from Linked Open Data (LOD). The approach is based on a range of linguistic and ontological techniques, in the context of Big Data. A software, EC3, is being implemented and at LIP6. EC3 is actually tested on very large corpuses on electronic supports, provided by the labex OBVIL (http://obvil.paris-sorbonne.fr) and the BNF (National Library of France).","PeriodicalId":294250,"journal":{"name":"Proceedings of the 8th International Conference on Management of Digital EcoSystems","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126451316","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}

引用次数: 10

Collection of HerbalMedicinalProperty relation extracted from texts 从文本中提取草药属性关系的集合

Proceedings of the 8th International Conference on Management of Digital EcoSystems Pub Date : 2016-11-01 DOI: 10.1145/3012071.3012075

C. Pechsiri, Onuma Moolwat

{"title":"Collection of HerbalMedicinalProperty relation extracted from texts","authors":"C. Pechsiri, Onuma Moolwat","doi":"10.1145/3012071.3012075","DOIUrl":"https://doi.org/10.1145/3012071.3012075","url":null,"abstract":"This research aims to collect the extracted HerbalMedicinalProperty relations from downloaded herbal-plant documents for creating the herbal-medicinal-property-network based representation. An HerbalMedicinalProperty relation is a semantic relation between one herbal-plant-component concept and several herbal-medicinal-property-concept expressions on texts and vice versa. An herbal-plant-component occurrence is a noun-phrase expression and each herbal-medicinal-property- concept occurrence is an event expression by a verb-phrase of EDU (an Elementary Discourse Unit or a simple sentence). The herbal-medicinal-property-network based representation benefits a recommendation system of solving health-problems on web-boards. The research has two main problems: 1) how to extract HerbalMedicinalProperty relations from the documents, and 2) how to collect the HerbalMedicinalProperty relations for creating the herbal-medicinal-property-network based representation. Therefore, we propose applying a co-occurrence of N-Words (or N-Word-Co) including N-Word-Co size learning on the verb phrase to identify several medicinal-property-concept EDU occurrences over the documents after the linguistic phenomena has been applied to solve the herbal-plant-component concepts. The extracted HerbalMedicinalProperty relations are then collected as a matrix of herbal-plant names, herbal-plant components, and herbal-medicinal properties for creating the herbal-medicinal-property-network based representation. The research results provide the high precision of the HerbalMedicinalProperty-relation extraction from the documents.","PeriodicalId":294250,"journal":{"name":"Proceedings of the 8th International Conference on Management of Digital EcoSystems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126977812","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}

引用次数: 0

ADSEng: a model-based methodology for autonomous digital service engineering ADSEng:一种基于模型的自主数字服务工程方法

Proceedings of the 8th International Conference on Management of Digital EcoSystems Pub Date : 2016-11-01 DOI: 10.1145/3012071.3012072

Dhaminda B. Abeywickrama, E. Ovaska

{"title":"ADSEng: a model-based methodology for autonomous digital service engineering","authors":"Dhaminda B. Abeywickrama, E. Ovaska","doi":"10.1145/3012071.3012072","DOIUrl":"https://doi.org/10.1145/3012071.3012072","url":null,"abstract":"In digital service ecosystems (DSEs), business stakeholders provide the most important driving factors and managing them is a challenge. It requires systems and services to handle uncertainty. Uncertainty in DSEs can be attributed to several factors; for example, dynamic nature and the unknown deployment environment, and change and evolution of requirements. Therefore, there is a need for novel software engineering methods and tools to handle these uncertainties in DSEs. In this regard, valuable lessons can be learnt from the autonomic computing (AC) paradigm and systems that are characterized by self-* properties. This paper proposes a novel, systematic service engineering methodology called ADSEng for ecosystem-based engineering of autonomous digital services. In the current research, the means of handling uncertainty from requirements to architecture and running systems are investigated. To do this, two interrelated research problems are studied: reflexivity that is realized using AC techniques, and evolvability of the ecosystem, supported by automated transformations. Our main contributions are: (i) a modeling methodology from uncertainty specification to runtime models and (ii) quality-driven adaptation patterns embodied by digital services. The paper also presents key lessons learnt from the research experience thus far.","PeriodicalId":294250,"journal":{"name":"Proceedings of the 8th International Conference on Management of Digital EcoSystems","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127072511","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}

引用次数: 2

Extracting new spatial entities and relations from short messages 从短消息中提取新的空间实体和关系

Proceedings of the 8th International Conference on Management of Digital EcoSystems Pub Date : 2016-11-01 DOI: 10.1145/3012071.3012079

Sarah Zenasni, E. Kergosien, M. Roche, M. Teisseire

{"title":"Extracting new spatial entities and relations from short messages","authors":"Sarah Zenasni, E. Kergosien, M. Roche, M. Teisseire","doi":"10.1145/3012071.3012079","DOIUrl":"https://doi.org/10.1145/3012071.3012079","url":null,"abstract":"In the past few years, texts have become an important spatial data resource, in addition to maps, satellite images and GPS. Electronic written texts used in mediated interactions, especially short messages (SMS, tweets, etc.), have triggered the emergence of new ways of writing. Extracting information from such short messages, which represent a rich source of information and opinion, is highly important due to the new and challenging text style. Short messages are, however, difficult to analyze because of their brief, unstructured and informal nature. The work presented in this paper is aimed at extracting spatial information from two authentic corpora of SMS and tweets in French in order to take advantage of the vast amount of geographical knowledge expressed in diverse natural language texts. We propose a process in which, firstly, we extract new spatial entities (e.g. Monpelier, Montpel are associated with the place name Montpellier). Secondly, we identify new spatial relations that precede these spatial entities (e.g. sur, par, etc.). Finally, we propose a general pattern for discovering spatial relations (e.g. SR+ Preposition). The task is very challenging and complex due to the specificity of short messages language, which is based on weakly standardized modes of writing (lexical creation, massive use of abbreviations, textual variants, etc.). The experiments that were carried out on the two corpora 88milSMS and Tweets highlight the efficiency of our proposed strategy for identifying new kinds of spatial entities and relations.","PeriodicalId":294250,"journal":{"name":"Proceedings of the 8th International Conference on Management of Digital EcoSystems","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134326070","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}

引用次数: 6

Formal proof of security algorithms based on reachability reduction 基于可达约简的安全算法的形式化证明

Proceedings of the 8th International Conference on Management of Digital EcoSystems Pub Date : 2016-11-01 DOI: 10.1145/3012071.3012085

Mohamed Bouziane, Sophie Gire, François Monin, Laurent Nana

引用次数: 0

Falls detection and assessment 跌倒检测与评估

Proceedings of the 8th International Conference on Management of Digital EcoSystems Pub Date : 2016-11-01 DOI: 10.1145/3012071.3012088

Noemi Biancone, Chiara Bicchielli, F. Ferri, P. Grifoni

引用次数: 2