2013 Ninth International Conference on Semantics, Knowledge and Grids最新文献_第3页

Social Sensing Enhanced Time Ruler for Real-Time Bus Service 基于社会感知的公交实时服务时间标尺

2013 Ninth International Conference on Semantics, Knowledge and Grids Pub Date : 2013-10-03 DOI: 10.1109/SKG.2013.38

Jin Liu, Caixin Gong, Juan Li, Jian Li, Xiaohui Cui

引用次数: 4

A Resource Evaluation Model Based on Entropy Optimization Toward Green Cloud 基于熵优化的绿色云资源评价模型

2013 Ninth International Conference on Semantics, Knowledge and Grids Pub Date : 2013-10-03 DOI: 10.1109/SKG.2013.30

Liyun Zuo, Lei Shu, Chunsheng Zhu, Zhangbing Zhou

{"title":"A Resource Evaluation Model Based on Entropy Optimization Toward Green Cloud","authors":"Liyun Zuo, Lei Shu, Chunsheng Zhu, Zhangbing Zhou","doi":"10.1109/SKG.2013.30","DOIUrl":"https://doi.org/10.1109/SKG.2013.30","url":null,"abstract":"The uncertainty of cloud resources makes task scheduling very difficult, and may results in a waste of energy of cloud resources if some cloud resources stay in unusable state for a long time. This paper proposes the cloud resource evaluation model based on entropy optimization (EOEM) to solve the uncertain problem. The evaluation results also can be used to develop resource management strategies, which will be sufficient for saving energy. Particularly, the proposed model may release long-term unavailable resources to reduce energy consumption. With the entropy increasing minimum principle, the proposed model takes the objective function of resource providers and user as constraints of maximum entropy function, thus it can balance profits of both cloud resource providers and cloud users. Meanwhile, the system utilization can be maximized and the resources satisfying QoS can be screened. For demonstrating their performance we evaluate the proposed model by simulation experiment. Simulation results reveal the positive effect of the entropy optimization to satisfaction degree of users and completion time of task. The model also shows better adaptability when cloud resources join or quit the cloud.","PeriodicalId":368828,"journal":{"name":"2013 Ninth International Conference on Semantics, Knowledge and Grids","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133115550","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

Using Quadtree-Based Semantic Link Network for Image Classification 基于四叉树的语义链接网络图像分类

2013 Ninth International Conference on Semantics, Knowledge and Grids Pub Date : 2013-10-03 DOI: 10.1109/SKG.2013.24

Li Peng, Lixiang Shi, Zhixing Huang

{"title":"Using Quadtree-Based Semantic Link Network for Image Classification","authors":"Li Peng, Lixiang Shi, Zhixing Huang","doi":"10.1109/SKG.2013.24","DOIUrl":"https://doi.org/10.1109/SKG.2013.24","url":null,"abstract":"Bag-of-words model is widely utilized for representing images in a semantic intermediate manner. However traditional visual words are orderless without information with regard to co-occurrences of them as well as their spatial distributions. Spatial pyramid matching provides an effective way to preserve partly spatial information within images, but ignores geometric relations between visual words. By means of quadrant division, this paper proposed a novel methodology called quadtree-based Semantic Link Network(qt-SLN) to represent images in the form of semantic network to keep the structural and topological information of an image. The task of image classification then becomes one of classifying graphs which can be implemented with graph kernels defined on different structured data. In addition, co-occurrences of visual words are also modeled using Pointwise Mutual Information(PMI), which is exploited as a substitution matrix in approximate graph matching after normalization. The experimental results show that incorporating structural relations and co-occurrences of visual words allows for a more semantical framework of classification task.","PeriodicalId":368828,"journal":{"name":"2013 Ninth International Conference on Semantics, Knowledge and Grids","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115957639","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: 1

Semantic Analysis for Keywords Based User Segmentation from Internet Data 基于关键词的互联网用户分割语义分析

2013 Ninth International Conference on Semantics, Knowledge and Grids Pub Date : 2013-10-03 DOI: 10.1109/SKG.2013.29

W. Du, Weihong Song

引用次数: 0

Ontology Merging: Compatible and Incompatible Ontology Mappings 本体合并:兼容和不兼容的本体映射

2013 Ninth International Conference on Semantics, Knowledge and Grids Pub Date : 2013-10-03 DOI: 10.1109/SKG.2013.42

Muhammad Aun Abbas, G. Berio

{"title":"Ontology Merging: Compatible and Incompatible Ontology Mappings","authors":"Muhammad Aun Abbas, G. Berio","doi":"10.1109/SKG.2013.42","DOIUrl":"https://doi.org/10.1109/SKG.2013.42","url":null,"abstract":"Ontology mappings are used in data integration, query answering, and comparative analysis tasks of ontologies. Ontology mappings are often obtained by using a matching tool. Ontology merging is the creation of a new ontology from at least two source ontologies. In Ontology merging, establishing map-pings between source ontologies is the primitive step. Ontology matching tools can be used for establishing mappings, but different matching tools often give dissimilar ontology mappings. Human intervention may not solve the problem because distinct perspectives and understandings also lead to different mappings. Attempts to face the problems have been studied in the literature. All these attempts focus on finding erroneous mappings and finding one consensual mapping. In this paper, we suggest that under some conditions, mappings can be combined to get benefits from each of them. Mappings satisfying those conditions are name compatible mappings, we argue that the conditions mentioned above are based on Galois connections. Opposed to compatible mappings, incompatible mappings cannot be combined because their combination results in erroneous mappings. We discussed our method in the context of ontology merging.","PeriodicalId":368828,"journal":{"name":"2013 Ninth International Conference on Semantics, Knowledge and Grids","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123425306","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: 1

Bridge Rule Based D3 L Reasoning 基于桥牌规则的D3 L推理

2013 Ninth International Conference on Semantics, Knowledge and Grids Pub Date : 2013-10-03 DOI: 10.1109/SKG.2013.26

Jianhua Zhang, Wenjie Wang, Zhongzhi Shi, Jinpeng Yue, Baoyuan Qi, Dong-ping Tian

引用次数: 0

Searching in Cloud Object Storage by Using a Metadata Model 基于元数据模型的云对象存储搜索

2013 Ninth International Conference on Semantics, Knowledge and Grids Pub Date : 2013-10-03 DOI: 10.1109/SKG.2013.28

M. Imran, H. Hlavacs

{"title":"Searching in Cloud Object Storage by Using a Metadata Model","authors":"M. Imran, H. Hlavacs","doi":"10.1109/SKG.2013.28","DOIUrl":"https://doi.org/10.1109/SKG.2013.28","url":null,"abstract":"In a Cloud environment, an independent service or model referred to as object storage is used for the management of persistent data. This model provides a virtualized pool of storage resources and can be accessed via Application Programming Interface (API) and/or simply a browser. Object storage is used to store the persistent data from various users through put/get methods and it also store the virtual machine images as objects. Cloud storage services are used by enterprises, home users and researchers to store their files that vary in size and formats. With the huge amount of stored data which is mostly unstructured, comes the related issue of finding the exact data relevant to the requirements of a user. In current offerings such as Amazon, Eucalyptus and Google, the contents or objects are defined by a key-value pair. These objects can be listed based on the key, but searching and finding contents with any other parameters (metadata) such as type, size, owner, time stamps etc., is not supported. In this paper we propose a metadata model that address the issue of collecting, adding, and storing metadata associated with objects in Eucalyptus Cloud. Furthermore, the stored metadata is utilized to provide the feature of fast, effective and efficient searching of contents in a Cloud.","PeriodicalId":368828,"journal":{"name":"2013 Ninth International Conference on Semantics, Knowledge and Grids","volume":"206 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133878043","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

An R2RML-based Mapping System from Metal Materials Database to Ontology 基于r2rml的金属材料数据库到本体映射系统

2013 Ninth International Conference on Semantics, Knowledge and Grids Pub Date : 2013-10-03 DOI: 10.1109/SKG.2013.37

C. Dong, Xiaoming Zhang, Wanzhen Zhou

引用次数: 6

An Incremental Weibo-Oriented Method for Unknown Word and Topic Extraction 面向微博的未知词和主题增量抽取方法

2013 Ninth International Conference on Semantics, Knowledge and Grids Pub Date : 2013-10-03 DOI: 10.1109/SKG.2013.13

Q. Liu, Lei Wang

引用次数: 0

Concept Based Query Expansion 基于概念的查询扩展

2013 Ninth International Conference on Semantics, Knowledge and Grids Pub Date : 2013-10-03 DOI: 10.1109/SKG.2013.10

Abdoulahi Boubacar, Zhendong Niu

引用次数: 160