Many knowledge workers are increasingly using online resources to find out latest developments in their specialty and articles of interest. To extract relevant information from such multiple online information sources summarization is being used. Current summarization systems produce a uniform version of summary for all users. However summaries which are generic in nature do not cater to the userpsilas background and interests. In this paper we propose to make the summarization process user specific and present a design for generating personalized summaries of online articles that are tailored to each personpsilas interest. The userpsilas data available on Web is used for model their background and interest. A controlled user-centered qualitative evaluation carried out on news articles of science and technology domain, indicates better user satisfaction with personalized summaries compared to generic summaries.
{"title":"Generating Personalized Summaries Using Publicly Available Web Documents","authors":"Chandan Kumar, Prasad Pingali, Vasudeva Varma","doi":"10.1109/WIIAT.2008.332","DOIUrl":"https://doi.org/10.1109/WIIAT.2008.332","url":null,"abstract":"Many knowledge workers are increasingly using online resources to find out latest developments in their specialty and articles of interest. To extract relevant information from such multiple online information sources summarization is being used. Current summarization systems produce a uniform version of summary for all users. However summaries which are generic in nature do not cater to the userpsilas background and interests. In this paper we propose to make the summarization process user specific and present a design for generating personalized summaries of online articles that are tailored to each personpsilas interest. The userpsilas data available on Web is used for model their background and interest. A controlled user-centered qualitative evaluation carried out on news articles of science and technology domain, indicates better user satisfaction with personalized summaries compared to generic summaries.","PeriodicalId":393772,"journal":{"name":"2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122037915","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}
In a multi-agent system, a single agent may not be capable of completing complex tasks. Therefore agents are required to form a team to fulfill the task requirements. In this paper an agent model is introduced that facilitates cooperation among agents. A multi-threaded multi-agent simulation framework is designed to test the model. The experimental results demonstrate that the model is significantly useful in achieving cooperation under various environmental constraints. It also allows agents to adjust their teammate selection strategies according to environmental constraints.
{"title":"Partner Selection Mechanisms for Agent Cooperation","authors":"Toktam Ebadi, Maryam A. Purvis, M. Purvis","doi":"10.1109/WIIAT.2008.294","DOIUrl":"https://doi.org/10.1109/WIIAT.2008.294","url":null,"abstract":"In a multi-agent system, a single agent may not be capable of completing complex tasks. Therefore agents are required to form a team to fulfill the task requirements. In this paper an agent model is introduced that facilitates cooperation among agents. A multi-threaded multi-agent simulation framework is designed to test the model. The experimental results demonstrate that the model is significantly useful in achieving cooperation under various environmental constraints. It also allows agents to adjust their teammate selection strategies according to environmental constraints.","PeriodicalId":393772,"journal":{"name":"2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123572817","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}
Opinion leaders play a very important role in information diffusion; they are found in all fields of society and influence the opinions of the masses in their fields. Most proposed algorithms on identifying opinion leaders in Internet social network are global measure algorithms and usually omit the fact that opinion leaders are field-limited. We propose and test several algorithms, including interest-field based algorithms and global measure algorithms, to identify opinion leaders in BBS. Our experiments show that different algorithms are sensitive to different indicators; the interest-field based algorithms which not only take into account of the social networkspsila structure but also the userspsila interest space are more reasonable and effective in identifying opinion leaders in BBS. The interest-field based algorithms are sensitive to the high status nodes in the social network, and their performance relies on the quality of field discovery.
{"title":"Identifying Opinion Leaders in BBS","authors":"Zhongwu Zhai, Hua Xu, P. Jia","doi":"10.1109/WIIAT.2008.37","DOIUrl":"https://doi.org/10.1109/WIIAT.2008.37","url":null,"abstract":"Opinion leaders play a very important role in information diffusion; they are found in all fields of society and influence the opinions of the masses in their fields. Most proposed algorithms on identifying opinion leaders in Internet social network are global measure algorithms and usually omit the fact that opinion leaders are field-limited. We propose and test several algorithms, including interest-field based algorithms and global measure algorithms, to identify opinion leaders in BBS. Our experiments show that different algorithms are sensitive to different indicators; the interest-field based algorithms which not only take into account of the social networkspsila structure but also the userspsila interest space are more reasonable and effective in identifying opinion leaders in BBS. The interest-field based algorithms are sensitive to the high status nodes in the social network, and their performance relies on the quality of field discovery.","PeriodicalId":393772,"journal":{"name":"2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","volume":"191 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123382588","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}
For successfully using a RDBMS as repository for the product information, it is essential that the ontological query be processed efficiently and answered properly on RDBMS. The key point of well processing the ontological queries is whether the various semantic relationships among the concepts of the product ontology are likewise well-processed. Especially, the transitive relationships (i.e. ISA, component-of relationships, etc.) such as ancestors-descendents, parents-children, and taxonomy of products must be processed successfully. To processing the queries over transitive relationships, we suggest the efficient index using the numbering schemes.
{"title":"Indexing Method for Transitive Relationships of Product Information","authors":"Hyunja Lee, Junho Shim","doi":"10.1109/WIIAT.2008.190","DOIUrl":"https://doi.org/10.1109/WIIAT.2008.190","url":null,"abstract":"For successfully using a RDBMS as repository for the product information, it is essential that the ontological query be processed efficiently and answered properly on RDBMS. The key point of well processing the ontological queries is whether the various semantic relationships among the concepts of the product ontology are likewise well-processed. Especially, the transitive relationships (i.e. ISA, component-of relationships, etc.) such as ancestors-descendents, parents-children, and taxonomy of products must be processed successfully. To processing the queries over transitive relationships, we suggest the efficient index using the numbering schemes.","PeriodicalId":393772,"journal":{"name":"2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","volume":"8 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123612081","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}
In this age of awareness, people have access to information like never before. Hundreds of newspapers and millions of bloggers present news and their interpretations in an openly accessible manner. With globalization, distant events can have impact on people thousands of miles away. While expert humans can recognize a potentially important piece of news, this is still a difficult problem for an automatic system. Since people are increasingly relying on multiple online sources of information, it is important to support users in filtering news automatically. In this work, we consider the problem of anticipating news story importance, i.e. given a news item, predicting if it will be of interest for a majority of users. Such ranking is currently done manually for newspapers, and we explore automatic approaches and indicative features for the same. Our main conclusion is that importance prediction is a hard problem, and pure textual features are not sufficient for classifiers with 90% accuracy.
{"title":"Predicting News Story Importance Using Language Features","authors":"Ralf Krestel, B. Mehta","doi":"10.1109/WIIAT.2008.193","DOIUrl":"https://doi.org/10.1109/WIIAT.2008.193","url":null,"abstract":"In this age of awareness, people have access to information like never before. Hundreds of newspapers and millions of bloggers present news and their interpretations in an openly accessible manner. With globalization, distant events can have impact on people thousands of miles away. While expert humans can recognize a potentially important piece of news, this is still a difficult problem for an automatic system. Since people are increasingly relying on multiple online sources of information, it is important to support users in filtering news automatically. In this work, we consider the problem of anticipating news story importance, i.e. given a news item, predicting if it will be of interest for a majority of users. Such ranking is currently done manually for newspapers, and we explore automatic approaches and indicative features for the same. Our main conclusion is that importance prediction is a hard problem, and pure textual features are not sufficient for classifiers with 90% accuracy.","PeriodicalId":393772,"journal":{"name":"2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","volume":"58 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124351812","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}
As information and communication technologies are becoming an integral part of our homes, the demand for AmI systems with assistive functionality is increasing. A great effort has been spent on designing and building interoperable middleware solutions to be used as the basis for such system. What is called for, though, is a clear direction in the way uncertainty about acquired knowledge is learnt and employed. This paper presents a probabilistic framework for learning dependencies between components within a home environment. In our approach, the uncertainty is maintained in a probabilistic knowledge base which is automatically built from semantic descriptions and observations of device states and events. The knowledge base can be used by smart applications for performing reasoning about the current flow of system events. Furthermore, some preliminary results obtained from real world data are presented.
{"title":"Structured Learning of Component Dependencies in AmI Systems","authors":"Todor Dimitrov, J. Pauli, E. Naroska, C. Ressel","doi":"10.1109/WIIAT.2008.13","DOIUrl":"https://doi.org/10.1109/WIIAT.2008.13","url":null,"abstract":"As information and communication technologies are becoming an integral part of our homes, the demand for AmI systems with assistive functionality is increasing. A great effort has been spent on designing and building interoperable middleware solutions to be used as the basis for such system. What is called for, though, is a clear direction in the way uncertainty about acquired knowledge is learnt and employed. This paper presents a probabilistic framework for learning dependencies between components within a home environment. In our approach, the uncertainty is maintained in a probabilistic knowledge base which is automatically built from semantic descriptions and observations of device states and events. The knowledge base can be used by smart applications for performing reasoning about the current flow of system events. Furthermore, some preliminary results obtained from real world data are presented.","PeriodicalId":393772,"journal":{"name":"2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","volume":"279 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121366352","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}
C. Luo, Yanchang Zhao, Longbing Cao, Yuming Ou, Chengqi Zhang
This paper presents our research on exception mining on multiple time series data which aims to assist stock market surveillance by identifying market anomalies. Traditional technologies on stock market surveillance have shown their limitations to handle large amount of complicated stock market data. In our research, the outlier mining on multiple time series (OMM) is proposed to improve the effectiveness of exception detection for stock market surveillance. The idea of our research is presented, challenges on the research are analyzed, and potential research directions are summarized.
{"title":"Exception Mining on Multiple Time Series in Stock Market","authors":"C. Luo, Yanchang Zhao, Longbing Cao, Yuming Ou, Chengqi Zhang","doi":"10.1109/WIIAT.2008.302","DOIUrl":"https://doi.org/10.1109/WIIAT.2008.302","url":null,"abstract":"This paper presents our research on exception mining on multiple time series data which aims to assist stock market surveillance by identifying market anomalies. Traditional technologies on stock market surveillance have shown their limitations to handle large amount of complicated stock market data. In our research, the outlier mining on multiple time series (OMM) is proposed to improve the effectiveness of exception detection for stock market surveillance. The idea of our research is presented, challenges on the research are analyzed, and potential research directions are summarized.","PeriodicalId":393772,"journal":{"name":"2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124267713","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}
While the use of mobile Web contents has shown a considerable increase, most of these contents, which are written in HTML format, are not convenient enough to use. Even though rich user-interfaces can be developed using some technologies like Flash Lite, it costs high because developers need to construct a whole application from scratch. Therefore, the development framework for mobile Web contents which reduces the development cost is needed. In this paper, we propose a development framework for rich user-interfaces of mobile Web contents. The proposed framework employs the dependency injection pattern to separate a content and its user-interface. Each user-interface component provides a functionality of a specific user-interface, and information that is specific to a particular website is described in an HTML document. A Web site is made by binding multiple user-interface components with an HTML document. The proposed framework provides a reduction of the development cost of mobile Web sites with a rich user-interface by leveraging existing resources.
{"title":"A Development Framework for Mobile User-Interfaces Based on HTML Centric Dependency Injection","authors":"Takashi Nozawa, Hajime Hotta, M. Hagiwara","doi":"10.1109/WIIAT.2008.304","DOIUrl":"https://doi.org/10.1109/WIIAT.2008.304","url":null,"abstract":"While the use of mobile Web contents has shown a considerable increase, most of these contents, which are written in HTML format, are not convenient enough to use. Even though rich user-interfaces can be developed using some technologies like Flash Lite, it costs high because developers need to construct a whole application from scratch. Therefore, the development framework for mobile Web contents which reduces the development cost is needed. In this paper, we propose a development framework for rich user-interfaces of mobile Web contents. The proposed framework employs the dependency injection pattern to separate a content and its user-interface. Each user-interface component provides a functionality of a specific user-interface, and information that is specific to a particular website is described in an HTML document. A Web site is made by binding multiple user-interface components with an HTML document. The proposed framework provides a reduction of the development cost of mobile Web sites with a rich user-interface by leveraging existing resources.","PeriodicalId":393772,"journal":{"name":"2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122622746","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}
A Wiki is a collaborative Web page authoring system. Users collaborate to build a Web site by creating and updating Wiki pages through Web browsers. However, conventional Wikis easily lose the consistency of the contents because a number of anonymous users can participate in authoring them. By introducing information agents that understand the. Wiki contents, we can keep the consistency. The agents can automatically update Wiki contents, integrate other Web contents to them, and keep them consistent cooperating with the human users. We propose KawaWiki, which is a semantic Wiki system where human users and information agents can collaborate by utilizing the semantic Web technology. To make agents and users collaborate in authoring Wiki contents, we adopt the RDF as the common representation. It is not easy for novice users to author RDF data, and we introduce KawaWiki templates to generate a Wiki page with RDF data at one time. We also introduce KawaWiki queries to make agents retrieve information efficiently from the Wiki contents. Finally, we introduce an agent description language to specify agent's behavior on the Wiki.
{"title":"Semantic Wiki Where Human and Agents Collaborate","authors":"K. Kawamoto, M. Mase, Y. Kitamura, Y. Tijerino","doi":"10.1109/WIIAT.2008.240","DOIUrl":"https://doi.org/10.1109/WIIAT.2008.240","url":null,"abstract":"A Wiki is a collaborative Web page authoring system. Users collaborate to build a Web site by creating and updating Wiki pages through Web browsers. However, conventional Wikis easily lose the consistency of the contents because a number of anonymous users can participate in authoring them. By introducing information agents that understand the. Wiki contents, we can keep the consistency. The agents can automatically update Wiki contents, integrate other Web contents to them, and keep them consistent cooperating with the human users. We propose KawaWiki, which is a semantic Wiki system where human users and information agents can collaborate by utilizing the semantic Web technology. To make agents and users collaborate in authoring Wiki contents, we adopt the RDF as the common representation. It is not easy for novice users to author RDF data, and we introduce KawaWiki templates to generate a Wiki page with RDF data at one time. We also introduce KawaWiki queries to make agents retrieve information efficiently from the Wiki contents. Finally, we introduce an agent description language to specify agent's behavior on the Wiki.","PeriodicalId":393772,"journal":{"name":"2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128910846","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}
Knowledge about user goals is crucial for realizing the vision of intelligent agents acting upon user intent on the Web. In a departure from existing approaches, this paper proposes a novel approach to the problem of user goal acquisition: The utilization of search query logs for this task. The paper makes the following contributions: (a) it presents an automatic method for the acquisition of user goals from search query logs with useful precision/recall scores (b) it provides insights into the nature and some characteristics of these goals and (c) it shows that the goals acquired from query logs exhibit traits of a long tail distribution.
{"title":"Acquiring Explicit User Goals from Search Query Logs","authors":"M. Strohmaier, P. Prettenhofer, Mark Kröll","doi":"10.1109/WIIAT.2008.364","DOIUrl":"https://doi.org/10.1109/WIIAT.2008.364","url":null,"abstract":"Knowledge about user goals is crucial for realizing the vision of intelligent agents acting upon user intent on the Web. In a departure from existing approaches, this paper proposes a novel approach to the problem of user goal acquisition: The utilization of search query logs for this task. The paper makes the following contributions: (a) it presents an automatic method for the acquisition of user goals from search query logs with useful precision/recall scores (b) it provides insights into the nature and some characteristics of these goals and (c) it shows that the goals acquired from query logs exhibit traits of a long tail distribution.","PeriodicalId":393772,"journal":{"name":"2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128947660","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：