2014 IEEE International Conference on Semantic Computing最新文献_第2页

Analyzing the Applicability of the Linking Open Data Cloud for Context-Aware Services 链接式开放数据云对上下文感知服务的适用性分析

2014 IEEE International Conference on Semantic Computing Pub Date : 2014-06-16 DOI: 10.1109/ICSC.2014.27

M. Hoffen, A. Uzun, Axel Küpper

引用次数: 4

Scene-Based Video Analytics Studio 基于场景的视频分析工作室

2014 IEEE International Conference on Semantic Computing Pub Date : 2014-06-16 DOI: 10.1109/ICSC.2014.56

Chia-Wei Liao, Kai-Hsuan Chan, Wen-Tsung Chang, Sheng-Tsung Tu

{"title":"Scene-Based Video Analytics Studio","authors":"Chia-Wei Liao, Kai-Hsuan Chan, Wen-Tsung Chang, Sheng-Tsung Tu","doi":"10.1109/ICSC.2014.56","DOIUrl":"https://doi.org/10.1109/ICSC.2014.56","url":null,"abstract":"The amount of the internet video has been growing rapidly in recent years. Efficient video indexing and retrieval, therefore, is becoming an important research and system-design issue. Reliably extracting metadata from video as indexes is one major step toward efficient video management. There are numerous video types, and everyone can define new video types of his own. We believe an open video analysis framework should help when one needs to automatically process various types of videos. More, the nature of video can be so different that we may end up having a dedicated video analysis module for each video type. It is infeasible to design a system to automatically process every type of video. In the paper, we propose a scene-based video analytic studio that comes with (1) an open video analysis framework where the video analysis modules are developed and deployed as plug-ins, (2) an authoring tool where videos can be manually tagged, and (3) an HTML5-based video player the play backs videos using the metadata we generate. In addition, it provides a runtime environment with standard libraries and proprietary rule-based automaton modules to facilitate the plug-in development. At the end, we will show its application to click able (shoppable) videos, which we plan to apply to our e-learning projects.","PeriodicalId":175352,"journal":{"name":"2014 IEEE International Conference on Semantic Computing","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122050327","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

Semiotic Tagging: Enriching the Semantics of Tags for Improved Image Retrieval 符号标记:丰富标签语义以改进图像检索

2014 IEEE International Conference on Semantic Computing Pub Date : 2014-06-16 DOI: 10.1109/ICSC.2014.10

F. Nack, A. Scherp, Chantal Neuhaus

{"title":"Semiotic Tagging: Enriching the Semantics of Tags for Improved Image Retrieval","authors":"F. Nack, A. Scherp, Chantal Neuhaus","doi":"10.1109/ICSC.2014.10","DOIUrl":"https://doi.org/10.1109/ICSC.2014.10","url":null,"abstract":"SemioTag is an approach towards tagging that utilizes the semiotic sign categories icon, index, and symbol as classification structures to be used by users during the annotation and search of images within social media-oriented repositories. We compared the influence of this approach on the tagging and querying behaviour of users, with respect to usability, efficiency, and user experience, between the standard Flickr tagging and querying method and the one used in SemioTag. Our results show that semiotic tagging is considered more tedious and takes about twice the time as standard tagging. However, subjects produced a larger number of tags with semiotic tagging. Finally, querying with semiotic tags is not considered more cumbersome than querying using standard tags. Subjects stated that semiotic-based search provides more reasonable results than search based on standard tagging because it provided more control on the query. Semiotic search turned out to be faster. Overall, the findings clearly indicate to further investigate in the direction of semiotic tagging. We anticipate application of semiotics for particular types of human-centered IR such as explorative search.","PeriodicalId":175352,"journal":{"name":"2014 IEEE International Conference on Semantic Computing","volume":"4 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131710095","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

Exploiting Location Semantics for Realizing Cross-Referencing Proactive Location-Based Services 利用位置语义实现交叉引用的主动位置服务

2014 IEEE International Conference on Semantic Computing Pub Date : 2014-06-16 DOI: 10.1109/ICSC.2014.26

A. Uzun, Mohamed Salem, Axel Küpper

{"title":"Exploiting Location Semantics for Realizing Cross-Referencing Proactive Location-Based Services","authors":"A. Uzun, Mohamed Salem, Axel Küpper","doi":"10.1109/ICSC.2014.26","DOIUrl":"https://doi.org/10.1109/ICSC.2014.26","url":null,"abstract":"Location-based Services (LBS) are one of the longest-standing value-added services in the mobile communications industry. The location of a user is the fundamental factor shaping such services and is usually computed solely in terms of the physical location relying on Reverse Geocoding APIs. It does not take into consideration the semantics of the location, but rather only the geographic spatial information, which significantly restricts the intelligibility of the provided LBS. In order to overcome the aforementioned limitations, we have introduced a Semantic Positioning Platform in a previous work being capable of providing semantically enriched self-referencing LBS. In this paper, we extend the platform by enabling cross-referencing proactive LBS (i.e., third-party tracking) based on semantically modeled user-specific location profiles (e.g., school or office) in combination with social relations among users. Furthermore, the independent platforms delivering the Semantic Positioning functionality (i.e., the Positioning Enabler and the Open Mobile Network) have been integrated into the Context Data Cloud, which is a context management ecosystem for delivering semantically enriched context-aware services. In addition, the Context Data Cloud for Android application including a Friend Tracker function has been implemented as a proof of concept. The evaluation in terms of battery consumption and positioning accuracy highlights the added value of our approach.","PeriodicalId":175352,"journal":{"name":"2014 IEEE International Conference on Semantic Computing","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132445245","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

Advancing the Semantic Relatedness Approach by Using Sense Popularity 利用语义流行度推进语义关联方法

2014 IEEE International Conference on Semantic Computing Pub Date : 2014-06-16 DOI: 10.1109/ICSC.2014.46

Ivana Donevska

引用次数: 2

Facebook Users Relationships Analysis Based on Sentiment Classification 基于情感分类的Facebook用户关系分析

2014 IEEE International Conference on Semantic Computing Pub Date : 2014-06-16 DOI: 10.1109/ICSC.2014.59

D. Terrana, A. Augello, G. Pilato

引用次数: 21

Social Network Data Mining Using Natural Language Processing and Density Based Clustering 基于自然语言处理和密度聚类的社会网络数据挖掘

2014 IEEE International Conference on Semantic Computing Pub Date : 2014-06-16 DOI: 10.1109/ICSC.2014.48

David Khanaferov, Christopher Luc, Taehyung Wang

引用次数: 18

A Review of the Automatic Web Service Composition Surveys 自动Web服务组成调查综述

2014 IEEE International Conference on Semantic Computing Pub Date : 2014-06-16 DOI: 10.1109/ICSC.2014.41

Yang Syu, Yong-Yi Fanjiang, J. Kuo, Shang-Pin Ma

{"title":"A Review of the Automatic Web Service Composition Surveys","authors":"Yang Syu, Yong-Yi Fanjiang, J. Kuo, Shang-Pin Ma","doi":"10.1109/ICSC.2014.41","DOIUrl":"https://doi.org/10.1109/ICSC.2014.41","url":null,"abstract":"In recent years, developing needed software applications via the technique Web Service Composition (WSC) has been more and more popular. Moreover, benefit from the Semantic Web Services (SWSs) technology, it is possible to even automatically conduct WSC, i.e. the Automated Web Service composition (AWSC). Currently the AWSC is a well-studied research subject and which means the existence of a large number of related research efforts. To existing AWSC researches, our goal is to make complete and referable surveys of them, and in this paper we adopt a strategy which may be more efficient than directly reviewing original research papers that we inspect and focus on the already-published AWSC surveys, trying to take advantages of them. With an AWSC survey framework proposed by us previously, we present a modest review on the selected AWSC surveys which inspected the AWSC researches that largely benefit from the SWSs technology. For each selected AWSC survey, in this review we indicate what AWSC research concerns defined by us in the survey framework are covered by it and precisely describe its contents. With this review, the reader can easily and quickly find out proper AWSC surveys for more advanced information and reading.","PeriodicalId":175352,"journal":{"name":"2014 IEEE International Conference on Semantic Computing","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124921670","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

Development of a Semi-synthetic Dataset as a Testbed for Big-Data Semantic Analytics 半合成数据集作为大数据语义分析测试平台的开发

2014 IEEE International Conference on Semantic Computing Pub Date : 2014-06-16 DOI: 10.1109/ICSC.2014.45

R. Techentin, D. Foti, Peter W. Li, E. Daniel, B. Gilbert, D. Holmes, Sinan Al-Saffar

引用次数: 3

A Hidden Markov Model for Automatic Generation of ER Diagrams from OWL Ontology OWL本体自动生成ER图的隐马尔可夫模型

2014 IEEE International Conference on Semantic Computing Pub Date : 2014-06-16 DOI: 10.1109/ICSC.2014.19

A. Pipitone, R. Pirrone

引用次数: 8