Joaquín Pérez-Iglesias, Víctor Fresno-Fernández, José R. Pérez-Agüera
{"title":"FuzzyFresh: A Fuzzy Logic Approach to the Ranking of Structured Documents","authors":"Joaquín Pérez-Iglesias, Víctor Fresno-Fernández, José R. Pérez-Agüera","doi":"10.1109/WIIAT.2008.178","DOIUrl":"https://doi.org/10.1109/WIIAT.2008.178","url":null,"abstract":"With the increase in the use of mark-up languages, the classic IR models have been extended in order to be applied to structured documents. Generally these adaptations have been carried out by weighting the fields that form the document structure, and making the assumption of statistics independence between fields, forcing to an estimation of the different weights applied to each field. In this paper a new ranking function for structured IR and based on Fuzzy Logic is proposed, where its main aim is to model through heuristics and expert knowledge the relations between fields.","PeriodicalId":393772,"journal":{"name":"2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2008-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115475941","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}
{"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":null,"pages":null},"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}
{"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":null,"pages":null},"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}
{"title":"The Emergence of Web Science","authors":"N. Shadbolt","doi":"10.1109/WIIAT.2008.423","DOIUrl":"https://doi.org/10.1109/WIIAT.2008.423","url":null,"abstract":"There is a growing realization among many researchers that if we want to model the Web and understand its future trajectory; if we want to understand the architectural principles that have provided for its growth; and if we want to be sure that it supports the basic social values of trustworthiness, privacy, and respect for social boundaries, then we must chart out a research agenda that targets the Web as a primary focus of attention. This is Web Science and this invited talk will discuss the emergence of this exciting new discipline.","PeriodicalId":393772,"journal":{"name":"2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2008-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124809950","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}
{"title":"An Organisational Multi-agent Systems Approach for Designing Collaborative Tagging Systems","authors":"Maya Rupert, Carlos Li, S. Hassas","doi":"10.1109/WIIAT.2008.182","DOIUrl":"https://doi.org/10.1109/WIIAT.2008.182","url":null,"abstract":"Collaborative tagging systems are an example of socially-aware, self-organising, complex systems. The multi-agent systems paradigm coordinated by self-organisation mechanisms has been used as an effective way for the design and modeling of such systems. Existing tagging systems do not take full advantage of their complex systems characteristics, especially in adapting to their environment and allowing emergence. In this paper, we propose a model for designing a tagging system, using a multi-agent system approach, governed by the co-evolution of the social and spatial organisations of the agents. We show how the proposed system has new functionalities that could enhance current collaborative tagging systems.","PeriodicalId":393772,"journal":{"name":"2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2008-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123024179","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}
{"title":"An Ontology-Based Sentiment Classification Methodology for Online Consumer Reviews","authors":"J. Polpinij, A. Ghose","doi":"10.1109/WIIAT.2008.68","DOIUrl":"https://doi.org/10.1109/WIIAT.2008.68","url":null,"abstract":"This paper presents a method of ontology-based sentiment classification to classify and analyse online product reviews of consumers. We implement and experiment with a support vector machines text classification approach based on a lexical variable ontology. After testing, it could be demonstrated that the proposed method can provide more effectiveness for sentiment classification based on text content.","PeriodicalId":393772,"journal":{"name":"2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2008-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123126434","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}
{"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":null,"pages":null},"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}
{"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":null,"pages":null},"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}
{"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":null,"pages":null},"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}
C. Luo, Yanchang Zhao, Longbing Cao, Yuming Ou, Chengqi Zhang
{"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":null,"pages":null},"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}