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IEEE/WIC/ACM International Conference on Web Intelligence (WI'07)最新文献

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Document-Centric Query Answering for the Semantic Web 面向语义Web的以文档为中心的查询应答
IEEE/WIC/ACM International Conference on Web Intelligence (WI'07) Pub Date : 2007-11-02 DOI: 10.1109/WI.2007.49
Yuanbo Guo, J. Heflin
{"title":"Document-Centric Query Answering for the Semantic Web","authors":"Yuanbo Guo, J. Heflin","doi":"10.1109/WI.2007.49","DOIUrl":"https://doi.org/10.1109/WI.2007.49","url":null,"abstract":"In this paper, we propose document-centric query answering, a novel form of query answering for the Semantic Web. We discuss how we have built a knowledge base system to support the new queries. In particular, we describe the key techniques used in the system in order to address scalability issues. In addition, we show encouraging experimental results.","PeriodicalId":192501,"journal":{"name":"IEEE/WIC/ACM International Conference on Web Intelligence (WI'07)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114661872","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
A Model of B2B Negotiation using Knowledge 基于知识的B2B谈判模型
IEEE/WIC/ACM International Conference on Web Intelligence (WI'07) Pub Date : 2007-11-02 DOI: 10.1109/WI.2007.119
Zhuang Yan, S. Fong
{"title":"A Model of B2B Negotiation using Knowledge","authors":"Zhuang Yan, S. Fong","doi":"10.1109/WI.2007.119","DOIUrl":"https://doi.org/10.1109/WI.2007.119","url":null,"abstract":"Knowledge incorporation is one challenge in e-Commerce automated negotiation. In this paper, we describe a model of B2B negotiation using knowledge. We classify the types of knowledge namely general knowledge and negotiation knowledge, in the negotiation process. A methodology that uses Knowledge Bead (KB) and meta-KB as knowledge representation that would be suitable for the design of automated negotiation systems is discussed. An experimental prototype demonstrates that by incorporating knowledge into automated negotiation yields improved results.","PeriodicalId":192501,"journal":{"name":"IEEE/WIC/ACM International Conference on Web Intelligence (WI'07)","volume":"29 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117006646","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
Determining Mood for a Blog by Combining Multiple Sources of Evidence 通过结合多种证据来源来确定博客的情绪
IEEE/WIC/ACM International Conference on Web Intelligence (WI'07) Pub Date : 2007-11-02 DOI: 10.1109/WI.2007.46
Yuchul Jung, Yoonjung Choi, Sung-Hyon Myaeng
{"title":"Determining Mood for a Blog by Combining Multiple Sources of Evidence","authors":"Yuchul Jung, Yoonjung Choi, Sung-Hyon Myaeng","doi":"10.1109/WI.2007.46","DOIUrl":"https://doi.org/10.1109/WI.2007.46","url":null,"abstract":"Mood classification for blogs is useful in helping user-to-agent interaction for a variety of applications involving the web, such as user modeling, recommendation systems, and user interface fields. It is challenging at the same time because of the diversity of the characteristics of bloggers, their experiences, and the way moods are expressed. As an attempt to handle the diversity, we combine multiple sources of evidence for a mood type. Support vector machine based mood classifier (SVMMC) is integrated with mood flow analyzer (MFA) that incorporates commonsense knowledge obtained from the general public (i.e. ConceptNet), the affective norms english words (ANEW) list, and mood transitions. In combining the two different approaches, we employ a statistically weighted voting scheme based on the support vector machine (SVM). For evaluation, we have built a mood corpus consisting of manually annotated blogs, which amounts to over 4000 blogs. Our proposed method outperforms SVMMC by 5.68% in precision. The improvement is attributed to the strategy of choosing more trustable classification results in an interleaving fashion between the SVMMC and our MFA.","PeriodicalId":192501,"journal":{"name":"IEEE/WIC/ACM International Conference on Web Intelligence (WI'07)","volume":"26 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123555900","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: 17
An Ontology Mediated Web Service Aggregation Hub 本体中介的Web服务聚合中心
IEEE/WIC/ACM International Conference on Web Intelligence (WI'07) Pub Date : 2007-11-02 DOI: 10.1109/WI.2007.19
Kai Yang, R. Steele
{"title":"An Ontology Mediated Web Service Aggregation Hub","authors":"Kai Yang, R. Steele","doi":"10.1109/WI.2007.19","DOIUrl":"https://doi.org/10.1109/WI.2007.19","url":null,"abstract":"This paper introduces the concept of service aggregation at the data level. Through the development of an Ontology mediated Web Service Aggregation Hub, we are aiming to create a general platform to enable data level composition among web services which have common capabilities. The contributions of this paper include (i) the proposal of the Ontology Mediated Web Service Aggregation Hub architecture, (ii) the definition of an application ontology for service operation modeling and classification. (iii) the utilization of ontology for enabling dynamic service invocation and result aggregation.","PeriodicalId":192501,"journal":{"name":"IEEE/WIC/ACM International Conference on Web Intelligence (WI'07)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121896686","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
Finding Experts Using Social Network Analysis 使用社会网络分析寻找专家
IEEE/WIC/ACM International Conference on Web Intelligence (WI'07) Pub Date : 2007-11-02 DOI: 10.1109/WI.2007.59
Yupeng Fu, Rongjing Xiang, Yiqun Liu, Min Zhang, Shaoping Ma
{"title":"Finding Experts Using Social Network Analysis","authors":"Yupeng Fu, Rongjing Xiang, Yiqun Liu, Min Zhang, Shaoping Ma","doi":"10.1109/WI.2007.59","DOIUrl":"https://doi.org/10.1109/WI.2007.59","url":null,"abstract":"Searching an organization's document repositories for experts is a frequently occurred problem in intranet information management. A common method for finding experts in an organization is to use social networks - people are not isolated but connected by various kinds of associations. In organizations, people explicitly send email to one another thus social networks are likely to be contained in the patterns of communication. Moreover, in some web pages, the relationship among people is also recorded. In our approach we propose several strategies in discovering the associations among people from emails and web pages. Based on the social networks, we proposed an expertise propagation algorithm: from a ranked list of candidates according to their probability of being expert for a certain topic, we select a small set of the top ones as seed, and then use the social networks among the candidates to discover other potential experts. The experiments on TREC enterprise track show significant performance improvement with the algorithm.","PeriodicalId":192501,"journal":{"name":"IEEE/WIC/ACM International Conference on Web Intelligence (WI'07)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131335187","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: 73
Concept Forest: A New Ontology-assisted Text Document Similarity Measurement Method 概念森林:一种新的本体辅助文本文档相似度度量方法
IEEE/WIC/ACM International Conference on Web Intelligence (WI'07) Pub Date : 2007-11-02 DOI: 10.1109/WI.2007.36
Nan Du, Bin Wu, Bai Wang
{"title":"Concept Forest: A New Ontology-assisted Text Document Similarity Measurement Method","authors":"Nan Du, Bin Wu, Bai Wang","doi":"10.1109/WI.2007.36","DOIUrl":"https://doi.org/10.1109/WI.2007.36","url":null,"abstract":"Although using ontologies to assist information retrieval and text document processing has recently attracted more and more attention, existing ontologybased approaches have not shown advantages over the traditional keywords-based Latent Semantic Indexing (LSI) method. This paper proposes an algorithm to extract a concept forest (CF) from a document with the assistance of a natural language ontology, the WordNet lexical database. Using concept forests to represent the semantics of text documents, the semantic similarities of these documents are then measured as the commonalities of their concept forests. Performance studies of text document clustering based on different document similarity measurement methods show that the CF-based similarity measurement is an effective alternative to the existing keywords-based methods. In particular, this CFbased approach has obvious advantages over the existing keywords-based methods, including LSI, in processing short text documents or in P2P or live news environments where it is impractical to collect the entire document corpus for analysis.","PeriodicalId":192501,"journal":{"name":"IEEE/WIC/ACM International Conference on Web Intelligence (WI'07)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132797836","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: 60
Semantic Web Presentation of Analytical Reports from Data Mining - Preliminary Considerations 数据挖掘分析报告的语义网表示-初步考虑
IEEE/WIC/ACM International Conference on Web Intelligence (WI'07) Pub Date : 2007-11-02 DOI: 10.1109/WI.2007.95
J. Rauch, M. Simunek
{"title":"Semantic Web Presentation of Analytical Reports from Data Mining - Preliminary Considerations","authors":"J. Rauch, M. Simunek","doi":"10.1109/WI.2007.95","DOIUrl":"https://doi.org/10.1109/WI.2007.95","url":null,"abstract":"Project SEWEBAR concerning presentation of analytical reports from data mining through semantic Web is introduced. Related local and global analytical reports are mentioned. An example of local analytical report is given and problems of indexing local reports are shortly discussed.","PeriodicalId":192501,"journal":{"name":"IEEE/WIC/ACM International Conference on Web Intelligence (WI'07)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132336458","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: 17
Mining Fuzzy Domain Ontology from Textual Databases 从文本数据库中挖掘模糊领域本体
IEEE/WIC/ACM International Conference on Web Intelligence (WI'07) Pub Date : 2007-11-02 DOI: 10.1109/WI.2007.76
Raymond Y. K. Lau, Yuefeng Li, Yue Xu
{"title":"Mining Fuzzy Domain Ontology from Textual Databases","authors":"Raymond Y. K. Lau, Yuefeng Li, Yue Xu","doi":"10.1109/WI.2007.76","DOIUrl":"https://doi.org/10.1109/WI.2007.76","url":null,"abstract":"Ontology plays an essential role in the formalization of common information (e.g., products, services, relationships of businesses) for effective human-computer interactions. However, engineering of these ontologies turns out to be very labor intensive and time consuming. Although some text mining methods have been proposed for automatic or semi-automatic discovery of crisp ontologies, the robustness, accuracy, and computational efficiency of these methods need to be improved to support large scale ontology construction for real-world applications. This paper illustrates a novel fuzzy domain ontology mining algorithm for supporting real-world ontology engineering. In particular, contextual information of the knowledge sources is exploited for the extraction of high quality domain ontologies and the uncertainty embedded in the knowledge sources is modeled based on the notion of fuzzy sets. Empirical studies have confirmed that the proposed method can discover high quality fuzzy domain ontology which leads to significant improvement in information retrieval performance.","PeriodicalId":192501,"journal":{"name":"IEEE/WIC/ACM International Conference on Web Intelligence (WI'07)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134279723","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: 30
Extending Link-based Algorithms for Similar Web Pages with Neighborhood Structure 具有邻域结构的相似网页的扩展链接算法
IEEE/WIC/ACM International Conference on Web Intelligence (WI'07) Pub Date : 2007-11-02 DOI: 10.1109/WI.2007.54
Zhenjiang Lin, Michael R. Lyu, I. King
{"title":"Extending Link-based Algorithms for Similar Web Pages with Neighborhood Structure","authors":"Zhenjiang Lin, Michael R. Lyu, I. King","doi":"10.1109/WI.2007.54","DOIUrl":"https://doi.org/10.1109/WI.2007.54","url":null,"abstract":"The problem of fnding similar pages to a given web page arises in many web applications such as search engine. In this paper, we focus on the link-based similarity measures which compute web page similarity solely from the hyperlinks of the Web. We first propose a simple model called the Extended Neighborhood Structure (ENS), which defines a bi-directional (in-link and out-link) and multi-hop neighborhood structure. Based on the ENS model, several existing similarity measures are extended. Preliminary experimental results show that the accuracy of the extended algorithms are signifcantly improved.","PeriodicalId":192501,"journal":{"name":"IEEE/WIC/ACM International Conference on Web Intelligence (WI'07)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131290745","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: 23
Automatic Correction of Idiomatic Usage in English Using Web Search 基于网络检索的英语习惯用法自动纠错
IEEE/WIC/ACM International Conference on Web Intelligence (WI'07) Pub Date : 2007-11-02 DOI: 10.1109/WI.2007.23
Ting Qian, Lin Qiu
{"title":"Automatic Correction of Idiomatic Usage in English Using Web Search","authors":"Ting Qian, Lin Qiu","doi":"10.1109/WI.2007.23","DOIUrl":"https://doi.org/10.1109/WI.2007.23","url":null,"abstract":"Non-native English speakers often have problems determining the exact form of an idiomatic expression while they have some vague idea about the key words in them. In this paper, we describe a system called Webtionary that allows users to consult idiomatic usage by entering a questionable expression. Webtionary uses Web search to find candidate corrections and suggests expressions that are commonly used in writing and semantically-related to the user query. Evaluation results show that Webtionary significantly outperforms direct Web search in providing useful suggestions.","PeriodicalId":192501,"journal":{"name":"IEEE/WIC/ACM International Conference on Web Intelligence (WI'07)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127759591","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
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