2008 IEEE International Conference on Semantic Computing最新文献_第5页

Analysis of Effects- and Preconditions-Based Service Representation in Ubiquitous Computing Environments 泛在计算环境中基于效果和前提条件的服务表示分析

2008 IEEE International Conference on Semantic Computing Pub Date : 2008-08-04 DOI: 10.1109/ICSC.2008.18

A. Urbieta, E. Azketa, I. Gomez, Jorge Parra, Nestor Arana-Arejolaleiba

引用次数: 16

A Comparative Study of Feature Extraction Algorithms in Customer Reviews 顾客评论中特征提取算法的比较研究

2008 IEEE International Conference on Semantic Computing Pub Date : 2008-08-04 DOI: 10.1109/ICSC.2008.40

L. Ferreira, Niklas Jakob, Iryna Gurevych

引用次数: 54

Semantically-Assisted Integration Query Editing in the AquaLogic Data Services Platform aququalogic数据服务平台中的语义辅助集成查询编辑

2008 IEEE International Conference on Semantic Computing Pub Date : 2008-08-04 DOI: 10.1109/ICSC.2008.19

M. Carey, Shahram Ghandeharizadeh, Kautul Mehta, P. Mork, Leonard J. Seligman, S. Srivastava, S. Thatte

引用次数: 1

Appscio: A Software Environment for Semantic Multimedia Analysis 语义多媒体分析的软件环境

2008 IEEE International Conference on Semantic Computing Pub Date : 2008-08-04 DOI: 10.1109/ICSC.2008.56

G. Friedland, Eden Hensley, R. Jain, J. Schumacher

引用次数: 2

WSMX Middleware for Dynamic Discovery in B2B Integration B2B集成中用于动态发现的WSMX中间件

2008 IEEE International Conference on Semantic Computing Pub Date : 2008-08-04 DOI: 10.1109/ICSC.2008.66

Maciej Zaremba, T. Vitvar, J. Kopecký, M. O. Shafiq

引用次数: 0

Exploiting Semantics for Personalized Story Creation 利用语义进行个性化故事创作

2008 IEEE International Conference on Semantic Computing Pub Date : 2008-08-04 DOI: 10.1109/ICSC.2008.10

Mark D. Wood

引用次数: 10

Semantic Web Approach to Personal Information Management on Mobile Devices 移动设备上个人信息管理的语义Web方法

2008 IEEE International Conference on Semantic Computing Pub Date : 2008-08-04 DOI: 10.1109/ICSC.2008.83

O. Lassila

{"title":"Semantic Web Approach to Personal Information Management on Mobile Devices","authors":"O. Lassila","doi":"10.1109/ICSC.2008.83","DOIUrl":"https://doi.org/10.1109/ICSC.2008.83","url":null,"abstract":"In this paper, we will adopt the Semantic Web as our representational basis, and present some results of applying this approach in the context of mobile devices. Underlying the discussion is a desire to ask (and answer) some \"deep\" questions about our use of information technology.Personal Information Management, with its new, expanded scope, is now almost synonymous with \"personal computing\". Not only does PIM now cover a broader spectrum of data (some directly personal, some indirectly via social connections, etc.), but also the variety of devices on (and through) which the users manipulate their personal data has grown, and most users have several devices that they use regularly. This introduces great challenges to how we build PIM systems,starting from various data management and representation issues and spanning through to user interaction problems. Mobile devices are becoming ubiquitous, and with their increased performance and various ways of sensing their environment, they are better and better suited to building increasingly capable PIM systems. Naturally, the ultimate goal is not PIM per se, but rather to realize technology that can help users by simplifying their everyday lives.","PeriodicalId":102805,"journal":{"name":"2008 IEEE International Conference on Semantic Computing","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126663504","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

Speech Emotion Classification Using Machine Learning Algorithms 使用机器学习算法的语音情感分类

2008 IEEE International Conference on Semantic Computing Pub Date : 2008-08-04 DOI: 10.1109/ICSC.2008.43

S. Casale, A. Russo, G. Scebba, S. Serrano

{"title":"Speech Emotion Classification Using Machine Learning Algorithms","authors":"S. Casale, A. Russo, G. Scebba, S. Serrano","doi":"10.1109/ICSC.2008.43","DOIUrl":"https://doi.org/10.1109/ICSC.2008.43","url":null,"abstract":"The recognition of emotional states is a relatively new technique in the field of machine learning. The paper presents the study and the performance results of a system for emotion classification using the architecture of a distributed speech recognition system (DSR). The features used were extracted by the front-end ETSI Aurora eXtended of a mobile terminal in compliance with the ETSI ES 202-211 V1.1.1 standard. On the basis of the time trend of these parameters, over 3800 statistical parameters were extracted to characterize semantic units of varying length (sentences and words). Using the WEKA (Waikato Environment for Knowledge Analysis) software the most significant parameters for the classification of emotional states were selected and the results of various classification techniques were analysed. The results, obtained using both the Berlin Database of Emotional Speech (EMO-DB) and the Speech Under Simulated and Actual Stress (SUSAS) corpus, showed that the best performance is achieved using a support vector machine (SVM) trained with the sequential minimal optimization (SMO) algorithm, after normalizing and discretizing the input statistical parameters.","PeriodicalId":102805,"journal":{"name":"2008 IEEE International Conference on Semantic Computing","volume":"201 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134178001","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: 84

A Concept Based Indexing Approach for Document Clustering 基于概念的文档聚类索引方法

2008 IEEE International Conference on Semantic Computing Pub Date : 2008-08-04 DOI: 10.1109/ICSC.2008.75

S. Barresi, S. Nefti-Meziani, Y. Rezgui

引用次数: 5

Review and Alignment of Tag Ontologies for Semantically-Linked Data in Collaborative Tagging Spaces 协作标记空间中语义关联数据标签本体的评审与对齐

2008 IEEE International Conference on Semantic Computing Pub Date : 2008-08-04 DOI: 10.1109/ICSC.2008.79

H. Kim, Alexandre Passant, J. Breslin, S. Scerri, S. Decker

{"title":"Review and Alignment of Tag Ontologies for Semantically-Linked Data in Collaborative Tagging Spaces","authors":"H. Kim, Alexandre Passant, J. Breslin, S. Scerri, S. Decker","doi":"10.1109/ICSC.2008.79","DOIUrl":"https://doi.org/10.1109/ICSC.2008.79","url":null,"abstract":"As the number of Web 2.0 sites offering tagging facilities for the users' voluntary content annotation increases, so do the efforts to analyze social phenomena resulting from generated tagging and folksonomies. Most of these efforts provide different views for the understanding of various Web activities. Results from various experimental research should be utilized to improve existing approaches underlying tagging data and contribute further to weaving the Web. However, in practice, there are not enough solutions taking advantage of these results. Even though we can mine social relations via tagging data, it proves no worth for users if this data cannot be reused.In this paper we propose a solution for tag data representation which allows data reuse across different tagging systems. To achieve this goal, we analyze current social tagging practices, existing folksonomy usage as well as semantic Web approaches to data annotation and tagging. We survey and compare existing tag ontologies in an attempt to investigate mapping possibilities between different conceptual models. Finally, we present our method for federation among existing ontologies in order to generate re-usable, semantically-linked data that will underly tagging data.","PeriodicalId":102805,"journal":{"name":"2008 IEEE International Conference on Semantic Computing","volume":"166 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115714666","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: 74