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2008 IEEE International Conference on Semantic Computing最新文献

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Extracting and Exploring the Geo-Temporal Semantics of Textual Resources 文本资源的时空语义提取与探索
2008 IEEE International Conference on Semantic Computing Pub Date : 2008-08-04 DOI: 10.1109/ICSC.2008.86
Bruno Martins, Hugo Manguinhas, J. Borbinha
{"title":"Extracting and Exploring the Geo-Temporal Semantics of Textual Resources","authors":"Bruno Martins, Hugo Manguinhas, J. Borbinha","doi":"10.1109/ICSC.2008.86","DOIUrl":"https://doi.org/10.1109/ICSC.2008.86","url":null,"abstract":"Geo-temporal criteria are important for filtering, grouping and prioritizing information resources. This presents techniques for extracting semantic geo-temporal information from text, using simple text mining methods that leverage on a gazetteer. A prototype system, implementing the proposed methods and capable of displaying information over maps and timelines, is described. This prototype can take input in RSS, demonstrating the application to content from many different online sources. Experimental results demonstrate the efficiency and accuracy of the proposed approaches.","PeriodicalId":102805,"journal":{"name":"2008 IEEE International Conference on Semantic Computing","volume":"39 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":"128579354","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: 56
Activity Recognition Using a Web 3.0 Database 使用Web 3.0数据库的活动识别
2008 IEEE International Conference on Semantic Computing Pub Date : 2008-08-04 DOI: 10.1109/ICSC.2008.33
J. Aasman
{"title":"Activity Recognition Using a Web 3.0 Database","authors":"J. Aasman","doi":"10.1109/ICSC.2008.33","DOIUrl":"https://doi.org/10.1109/ICSC.2008.33","url":null,"abstract":"Web 3.0 envisages software agents that know how to reason over activities, events, locations, people, companies, and their inter-relationships. Learning more about customers through behavioral and activity recognition is here today through currently available Semantic Technologies and is a showcase for how these technologies will evolve. The demonstration shows real world examples of activity recognition using a combination of industry standard RDF and OWL, reasoning with basic Geotemporal primitives and some well-known Social Network Analytics.","PeriodicalId":102805,"journal":{"name":"2008 IEEE International Conference on Semantic Computing","volume":"67 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":"132629422","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
Improving Verb Sense Disambiguation with Automatically Retrieved Semantic Knowledge 利用语义知识自动检索改进动词语义消歧
2008 IEEE International Conference on Semantic Computing Pub Date : 2008-08-04 DOI: 10.1109/ICSC.2008.48
Dmitriy Dligach, Martha Palmer
{"title":"Improving Verb Sense Disambiguation with Automatically Retrieved Semantic Knowledge","authors":"Dmitriy Dligach, Martha Palmer","doi":"10.1109/ICSC.2008.48","DOIUrl":"https://doi.org/10.1109/ICSC.2008.48","url":null,"abstract":"We propose a novel method for extracting semantic information about a verb's arguments and apply it to verb sense disambiguation (VSD). We contrast this method with two popular approaches to retrieving the same kind of information and show that it improves the performance of our VSD system and outperforms the other two approaches.","PeriodicalId":102805,"journal":{"name":"2008 IEEE International Conference on Semantic Computing","volume":"1 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":"134230761","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
ELF: A Constraint-Aware XQuery Engine for Processing XML Streams with Minimized Memory Footprint ELF:一个约束感知的XQuery引擎，用于处理具有最小内存占用的XML流
2008 IEEE International Conference on Semantic Computing Pub Date : 2008-08-04 DOI: 10.1109/ICSC.2008.25
Ming Li, Murali Mani, Elke A. Rundensteiner
{"title":"ELF: A Constraint-Aware XQuery Engine for Processing XML Streams with Minimized Memory Footprint","authors":"Ming Li, Murali Mani, Elke A. Rundensteiner","doi":"10.1109/ICSC.2008.25","DOIUrl":"https://doi.org/10.1109/ICSC.2008.25","url":null,"abstract":"XML and XQuery have been widely accepted as the standard data representation and query language for web applications. When the input consists of a large amount of XML tokens, the main memory buffer requirement in XML stream processing can be significant, which might also lead to a significant CPU consumption due to the manipulation cost on the buffered data. To provide real-time responses, serious challenges in memory utilization are faced by the XQuery evaluation over XML streams. In many practical applications, XML streams are generated following a pre-defined semantic constraint such as the document type definition (DTD) and XML schema.","PeriodicalId":102805,"journal":{"name":"2008 IEEE International Conference on Semantic Computing","volume":"9 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120934771","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
Exploiting Semantic Query Context to Improve Search Ranking 利用语义查询上下文提高搜索排名
2008 IEEE International Conference on Semantic Computing Pub Date : 2008-08-04 DOI: 10.1109/ICSC.2008.8
Ziming Zhuang, S. Cucerzan
{"title":"Exploiting Semantic Query Context to Improve Search Ranking","authors":"Ziming Zhuang, S. Cucerzan","doi":"10.1109/ICSC.2008.8","DOIUrl":"https://doi.org/10.1109/ICSC.2008.8","url":null,"abstract":"One challenge for relevance ranking in Web search is underspecified queries. For such queries, top-ranked documents may contain information irrelevant to the search goal of the user; some newly-created relevant documents are ranked lower due to their freshness and to the large number of existing documents that match the queries. To improve the relevance ranking for underspecified queries requires better understanding of users' search goals. By analyzing the semantic query context extracted from the query logs, we propose Q-Rank to effectively improve the ranking of search results for a given query. Experiments show that Q-Rank outperforms the current ranking system of a large-scale commercial Web search engine, improving the relevance ranking for 82% of the queries with an average increase of 8.99% in terms of discounted cumulative gains. Because Q-Rank is independent of the underlying ranking algorithm, it can be integrated with existing search engines.","PeriodicalId":102805,"journal":{"name":"2008 IEEE International Conference on Semantic Computing","volume":"256 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":"121172822","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: 5
OPOSSum - An Online Portal to Collect and Share SWS Descriptions OPOSSum -收集和分享SWS描述的在线门户
2008 IEEE International Conference on Semantic Computing Pub Date : 2008-08-04 DOI: 10.1109/ICSC.2008.9
Ulrich Küster, B. König-Ries, Andreas Krug
{"title":"OPOSSum - An Online Portal to Collect and Share SWS Descriptions","authors":"Ulrich Küster, B. König-Ries, Andreas Krug","doi":"10.1109/ICSC.2008.9","DOIUrl":"https://doi.org/10.1109/ICSC.2008.9","url":null,"abstract":"Semantic web services have received a significant amount of research attention in the last years but too little effort has been put into the evaluation of the approaches so far. The main blocker of thorough evaluations is the lack of large and diverse test collections for semantic web services. In this demo we present a portal designed to help working towards common test collections by making it easy to collect, search for, and compare semantic service descriptions across various formalisms.","PeriodicalId":102805,"journal":{"name":"2008 IEEE International Conference on Semantic Computing","volume":"107 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":"123236083","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: 24
Semantic Approach to Middleware-Driven Run-Time Context-Aware Adaptation Decision 中间件驱动运行时上下文感知自适应决策的语义方法
2008 IEEE International Conference on Semantic Computing Pub Date : 2008-08-04 DOI: 10.1109/ICSC.2008.49
Edwin J. Y. Wei, A. Chan
{"title":"Semantic Approach to Middleware-Driven Run-Time Context-Aware Adaptation Decision","authors":"Edwin J. Y. Wei, A. Chan","doi":"10.1109/ICSC.2008.49","DOIUrl":"https://doi.org/10.1109/ICSC.2008.49","url":null,"abstract":"The need for a middleware layer to facilitate context-aware adaptation for applications has been widely reported and acknowledged in the research community. However, the majority of existing efforts employs an application-driven compile-time approach to supporting context-aware adaptation decisions. Such approach places a heavy burden on application developers to anticipate and formulate adaptation rules. This paper presents an ontology-based model that is used to facilitate the middleware layer with the ability to understand and reason the semantics of entities deployed on it, and to thereby enable middleware-driven run-time adaptation decisions. Through middleware-driven run-time adaptation decisions, not only will developers be freed from predicting, formulating and maintaining adaptation rules, but it will be possible to achieve an optimized quality of service by deferring the adaptation decisions until run-time to account for up-to-date contextual conditions.","PeriodicalId":102805,"journal":{"name":"2008 IEEE International Conference on Semantic Computing","volume":"38 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":"128130225","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
S3G: A Semantic Sequence State Graph for Indexing Spatio-temporal Data - A Tennis Video Database Application 面向时空数据索引的语义序列状态图——一个网球视频数据库应用
2008 IEEE International Conference on Semantic Computing Pub Date : 2008-08-04 DOI: 10.1109/ICSC.2008.77
Mitesh Naik, V. Jain, R. S. Aygün
{"title":"S3G: A Semantic Sequence State Graph for Indexing Spatio-temporal Data - A Tennis Video Database Application","authors":"Mitesh Naik, V. Jain, R. S. Aygün","doi":"10.1109/ICSC.2008.77","DOIUrl":"https://doi.org/10.1109/ICSC.2008.77","url":null,"abstract":"The indexing of spatio-temporal data is important for retrieval by spatio-temporal queries. The previous techniques on spatio-temporal indexing miss the semantics of the application since they are usually based on traditional indexing structures that has little to no semantic information incorporated. In those systems, the semantic queries were executed by using the low-level index structures. In this paper, we introduce a novel indexing method for spatiotemporal data: semantic sequence state graph (S3G). S3G maintains the properties of events-objects locations for efficient spatio-temporal queries. In S3G, the spatial information is maintained in states whereas semantic events that result in temporal ordering link the states. S3G supports our SMART(semantic modeling and retrieval) system.","PeriodicalId":102805,"journal":{"name":"2008 IEEE International Conference on Semantic Computing","volume":"62 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":"129747964","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: 7
Semantic Business Process Management: Scaling Up the Management of Business Processes 语义业务流程管理:扩展业务流程的管理
2008 IEEE International Conference on Semantic Computing Pub Date : 2008-08-04 DOI: 10.1109/ICSC.2008.84
C. Pedrinaci, J. Domingue, Christian Brelage, Tammo van Lessen, D. Karastoyanova, F. Leymann
{"title":"Semantic Business Process Management: Scaling Up the Management of Business Processes","authors":"C. Pedrinaci, J. Domingue, Christian Brelage, Tammo van Lessen, D. Karastoyanova, F. Leymann","doi":"10.1109/ICSC.2008.84","DOIUrl":"https://doi.org/10.1109/ICSC.2008.84","url":null,"abstract":"Business process management (BPM) aims at supporting the whole life-cycle necessary to deploy and maintain business processes in organisations. Despite its success however, BPM suffers from a lack of automation that would support a smooth transition between the business world and the IT world. We argue that semantic BPM, that is, the enhancement of BPM with semantic Web services technologies, provides further scalability to BPM by increasing the level of automation that can be achieved. We describe the particular SBPM approach developed within the SUPER project and we illustrate how it contributes to enhancing existing BPM solutions in order to achieve more flexible, dynamic and manageable business processes.","PeriodicalId":102805,"journal":{"name":"2008 IEEE International Conference on Semantic Computing","volume":"17 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":"129794126","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: 81
IKHarvester - Informal eLearning with Semantic Web Harvesting IKHarvester -非正式电子学习与语义网收获
2008 IEEE International Conference on Semantic Computing Pub Date : 2008-08-04 DOI: 10.1109/ICSC.2008.47
Jacek Jankowski, Adam Westerski, S. Kruk, Tadhg Nagle, Jaroslaw Dobrzanski
{"title":"IKHarvester - Informal eLearning with Semantic Web Harvesting","authors":"Jacek Jankowski, Adam Westerski, S. Kruk, Tadhg Nagle, Jaroslaw Dobrzanski","doi":"10.1109/ICSC.2008.47","DOIUrl":"https://doi.org/10.1109/ICSC.2008.47","url":null,"abstract":"Only recently, researchers and practitioners alike have begun to fully understand the potential of eLearning and have concentrated on new tools and technologies for creating, capturing and distributing knowledge. In order to support and extend those solutions we propose the idea of incorporating the informal knowledge into Learning Management Systems. Contributing to the body of research, problems of existing eLearning technologies are documented highlighting areas of definite improvement. Finally, semantic Web harvesting technology as a solution is explored in the form of the knowledge acquisition tool called IKHarvester.","PeriodicalId":102805,"journal":{"name":"2008 IEEE International Conference on Semantic Computing","volume":"8 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":"125072824","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
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