{"title":"Increasing matchmaking semantics in intelligent commerce system","authors":"Ricardo Ferraz Tomaz, S. Labidi","doi":"10.1109/WI.2003.1241280","DOIUrl":"https://doi.org/10.1109/WI.2003.1241280","url":null,"abstract":"This work is part of the ICS (intelligent commerce system) project whose aim is to design and implement an effective intelligent B2B commerce system. We present a practical application of semantic Web and Web services concepts where a matching procedure to associate potential buyers and suppliers in an B2B system is shown and the use of patterns and tools in the development of semantic Web's structure is proposed as an alternative for its implementation.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"42 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114039841","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":"Web prefetching using display-based prediction","authors":"Yuna Kim, Jong Kim","doi":"10.1109/WI.2003.1241247","DOIUrl":"https://doi.org/10.1109/WI.2003.1241247","url":null,"abstract":"Since the amount of network traffic has rapidly increased with the WWW expansion, users have experienced a long latency when retrieving Web pages. To solve the latency problem, we propose a client-side prefetching mechanism, which reflects changes on Web document structures and utilizes information from the entrance pages of frequently visited Web sites. It starts by constructing link graphs by gathering usage information of visited Web sites, and predicts the next document to be referenced based on the overall displayed documents in the Web browser. We also manage entrance pages not to be easily replaced from the cache. Our simulation results show that it has a remarkably improved performance: an increased cache hit ratio (by 48%) and a high prefetching effect (by 297%), with a slightly increased network overhead compared to similar previous schemes.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128301789","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":"Clustering approach for hybrid recommender system","authors":"Qing Li, Byeong-Man Kim","doi":"10.1109/WI.2003.1241167","DOIUrl":"https://doi.org/10.1109/WI.2003.1241167","url":null,"abstract":"Recommender system is a kind of Web intelligence techniques to make a daily information filtering for people. Clustering techniques have been applied to the item-based collaborative filtering framework to solve the cold start problem. It also suggests a way to integrate the content information into the collaborative filtering. Extensive experiments have been conducted on MovieLens data to analyze the characteristics of our technique. The results show that our approach contributes to the improvement of prediction quality of the item-based collaborative filtering, especially for the cold start problem.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134060015","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":"Clustering for Web information hierarchy mining","authors":"Hung-Yu kao, Jan-Ming Ho, Ming-Syan Chen","doi":"10.1109/WI.2003.1241299","DOIUrl":"https://doi.org/10.1109/WI.2003.1241299","url":null,"abstract":"Benefiting from the growth of techniques of dynamic page generation, the amount and the complexity of Web pages increase explosively. The structures of Web pages which are dynamically generated by the same templates are thus similar to one another and are usually assembled by a set of fundamental information clusters These neighboring information clusters usually represent the similar semantics and form a larger cluster with the more generalized information. The hierarchical structure generated by information clusters in a bottom-up manner is called the information hierarchy of a page. We study the problem of mining the information hierarchies of pages in Web sites to recognize the information distribution of pages within the multilevel, multigranularity configurations. Explicitly, we propose an information clustering system that applies a top-down information centroid searching algorithm and a multigranularity centroid converging process on the document object model (DOM) trees of pages to build the information hierarchies of pages. Experiments on several real news Web sites show the high precision and recall rates of the proposed method on determining information clusters of pages and also validate its practical applicability to real Web sites.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123826958","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 efficient Internet crawling and filtering system for the nationwide tendering information retrieval","authors":"Toshio Matsuda, Kazushige Nakamura, Norihiko Sakamoto","doi":"10.1109/WI.2003.1241304","DOIUrl":"https://doi.org/10.1109/WI.2003.1241304","url":null,"abstract":"With the growth of Internet, the central government and local governments have begun to publish matters concerning the prospect of orders for public works, the announcement of tendering and the contracting information on their Web sites. However, it is time consuming and painful for bidders such as constructors and manufacturers to periodically search the above information that matches their needs. Recently, there are various search engines, e.g. Google and Yahoo!, but those general search engines are not effective for the purpose of retrieving the above information quickly enough because of their crawling interval and coverage. Then we developed a system to automate the process of gathering such information, filtering for users' needs and delivering as the tendering and contracting information database. We describe the concept of the system as well as the key techniques to realize it: (1) to efficiently retrieve only relevant Web pages, and (2) filtering to match users' needs.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121762999","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":"Ontology-based Web mining model: representations of user profiles","authors":"Yuefeng Li, N. Zhong","doi":"10.1109/WI.2003.1241179","DOIUrl":"https://doi.org/10.1109/WI.2003.1241179","url":null,"abstract":"Web mining is used to search the right information from the Web to meet user information needs. Acquiring correct user profiles is difficult, since users may be unsure of their interests and may not wish to invest a great deal of effort in creating such a profile. Our aim is to present a foundation for representations of user profiles on ontology for designing efficient Web mining models. We assume the user concept can be constructed from some primary ones; hence, we use \"part-of\" relation to describe the relationships between classes. We also present set-valued relevance functions on such ontology to unravel the relationships between facts and the existing classes. A numerical interpretation is also presented for the set-valued relation functions.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122312183","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":"Negotiation paradigms based on knowledge bead's methodology","authors":"Zhuang Yan, S. Fong, Meilin Shi","doi":"10.1109/WI.2003.1241298","DOIUrl":"https://doi.org/10.1109/WI.2003.1241298","url":null,"abstract":"Online negotiation for today's B2B e-commerce plays a promising role in assisting traders to best fulfill their business deals. But existing uncertain constraints and sophisticated strategies presented in e-trading environment make negotiation a rather complex process. As business intelligence and efficient protocols are essential to successful negotiation, we defined an object-oriented ontology knowledge bead (KB) for knowledge representation and enabling agent negotiation in e-trading environment [S. Fong et al. (2002)]. We continue the research work of KB on formulating its theorems and methodology. Some typical negotiation paradigms using appropriate strategies based on the KB's methodology are presented. In particular, KB's taxonomies and their use in the negotiation process are discussed.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124880947","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":"Learning information extraction patterns from tabular Web pages without manual labelling","authors":"Xiaoying Gao, Mengjie Zhang, Peter M. Andreae","doi":"10.1109/WI.2003.1241249","DOIUrl":"https://doi.org/10.1109/WI.2003.1241249","url":null,"abstract":"We describe a domain independent approach to automatically constructing information extraction patterns for semistructured Web pages. The approach was tested on three corpora containing a series of tabular Web sites from different domains and achieved a success rate of at least 80%. A significant strength of the system is that it can infer extraction patterns from a single training page and does not require any manual labeling of the training page.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130322440","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":"Determining remote system contention states in query processing over the Internet","authors":"Weiru Liu, Zhining Liao, Jun Hong, Zhifang Liao","doi":"10.1109/WI.2003.1241215","DOIUrl":"https://doi.org/10.1109/WI.2003.1241215","url":null,"abstract":"In the environment of data integration over the Internet, three major factors affect the cost of a query: network congestion situation, server contention states (workload), and data/query complexity. We concentrate on system contention states. For a remote data source, we first determine the total number of contention states of the system through applying clustering techniques to the costs of sample queries. We then develop a set of cost formulae for each of the contention states using a multiple regression process. Finally, we estimate the system's current contention state when a query is issued and using either a time slides method or a statistical method depending on the information we have about the system. Our method can accurately predict the system contention state so that the effect of the contention states on the cost of queries can be estimated precisely.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127406041","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":"Functionality adaptation: a context-aware service code adaptation for pervasive computing environments","authors":"Vivien W. M. Kwan, F. Lau, Cho-Li Wang","doi":"10.1109/WI.2003.1241216","DOIUrl":"https://doi.org/10.1109/WI.2003.1241216","url":null,"abstract":"Pervasive computing has attracted a lot of attention in recent years. There are now proxy servers that are specially designed for pervasive computing. To enable content viewing in small devices, different kinds of content adaptation techniques have been used (such as distillation and transcoding) to adapt Web contents in content-rich servers to resource-constrained devices. Adaptation of Web contents has been widely discussed, but little attention was paid to the adaptation of services (or service code), which is equally important for computing anytime, anywhere, and on any device. We present an approach to adaptation of service code which is proxy-based and context-aware, called \"functionality adaptation\". The main difficulty of such an adaptation is to estimate the resource usage required for an execution, which varies with the input size and is available only at run-time. We propose a conservative solution. A simple prototype has been implemented to evaluate our adaptation approach.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129989916","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}