{"title":"A Web-Based System to Monitor the Quality of Meta-Data in Web Portals","authors":"M. A. Domingues, Carlos Soares, A. Jorge","doi":"10.1109/WI-IATW.2006.24","DOIUrl":"https://doi.org/10.1109/WI-IATW.2006.24","url":null,"abstract":"We present a Web-based system to monitor the quality of the meta-data used to describe content in Web portals. The system implements meta-data analysis using statistical, visualization and data mining tools. The Web-based system enables the site's editor to detect and correct problems in the description of contents, thus improving the quality of the Web portal and the satisfaction of its users. We have developed this system and tested it on a Portuguese portal for management executives","PeriodicalId":358971,"journal":{"name":"2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131971857","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 Open System for Spatial Information Services","authors":"Hua Xu, Qiang Wu, Houjie Cao, Shibo Zhang","doi":"10.1109/WI-IATW.2006.45","DOIUrl":"https://doi.org/10.1109/WI-IATW.2006.45","url":null,"abstract":"The development of an open system is important to allow for future expansion of capabilities because of the proliferation of spatial data, systems and applications. In this paper, the system architecture provides a distributed, interoperable and scalable environment. It is intended to unify the multiplicity of approaches and technologies to spatial information system. The spatial model, focusing on the scalable representation, shared data space and effective verification, is a useful method for better simulation, visualization and analysis over space and time. Furthermore, the system offers services based on components or subsystems to facilitate the creation and extension of applications and information communities","PeriodicalId":358971,"journal":{"name":"2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132144543","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 Embodied Conversational Agent for Intelligent Web Interaction on Pandemic Crisis Communication","authors":"O. Goh, L. Fung, K. Wong, A. Depickere","doi":"10.1109/WI-IATW.2006.37","DOIUrl":"https://doi.org/10.1109/WI-IATW.2006.37","url":null,"abstract":"In times of crisis, an effective communication mechanism is paramount in providing accurate and timely information to the community. In this paper we study the use of an intelligent embodied conversational agent (ECA) as the front end interface with the public for a crisis communication network portal (CCNet). The proposed system, CCNet, is an integration of the intelligent conversation agent, AINI, and an automated knowledge extraction agent (AKEA). The AKEA retrieves first hand information from relevant sources such as government departments and news channels. In this paper, we compare the interaction of AINI against two popular search engines, two question answering systems and two conversational systems","PeriodicalId":358971,"journal":{"name":"2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134329683","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":"Mediating Human Decision Making with Emotional Attitudes in Web Based Decision Support Systems","authors":"R. Khosla, Chris Lai","doi":"10.1109/WI-IATW.2006.88","DOIUrl":"https://doi.org/10.1109/WI-IATW.2006.88","url":null,"abstract":"Emotions form an important component of human behaviour and decision making and thus are an essential part of context-aware Web-based decision support systems. In this paper a conceptual model based on sensemaking, affective and situational feedback is outlined for design of context-aware Web-based decision support systems. An application of the model is illustrated in the area of Web-based behaviour profiling and recruitment of salespeople. In this application cognitive responses of a sales candidate to behavioural questions from a e-sales recruitment and benchmarking system (e-SRBS) are mediated with their real-time emotional or affective responses to facilitate context-aware decision support in e-recruitment applications. The work reported has implications in not only e-recruitment but also in knowledge management, data mining, Web personalisation and context-aware Web-based decision support systems in general","PeriodicalId":358971,"journal":{"name":"2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134512271","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}
Ana Carolina M. Pilatti de Paula, B. C. Ávila, E. Scalabrin, F. Enembreck
{"title":"Multiagent-Based Model Integration","authors":"Ana Carolina M. Pilatti de Paula, B. C. Ávila, E. Scalabrin, F. Enembreck","doi":"10.1109/WI-IATW.2006.96","DOIUrl":"https://doi.org/10.1109/WI-IATW.2006.96","url":null,"abstract":"This paper presents a distributed data mining technique based on a multiagent environment, called SMAMDD (multiagent system for distributed data mining), which uses model integration. Model integration consists in the amalgamation of local models into a global, consistent one. In each subset, agents perform mining tasks locally and, afterwards, results are merged into a global model. In order to achieve that, agents cooperate by exchanging messages, aiming to improve the process of knowledge discover generating accurate results. The multiagent system for distributed data mining proposed in this paper has been compared with classical machine learning algorithms which are based on model integration as well, simulating a distributed environment. The results obtained show that SMAMDD can produce highly accurate data models","PeriodicalId":358971,"journal":{"name":"2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132110268","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 Agent-Based Testing Subsystem in an E-Learning Environment","authors":"V. Cabukovski","doi":"10.1109/WI-IATW.2006.34","DOIUrl":"https://doi.org/10.1109/WI-IATW.2006.34","url":null,"abstract":"In an e-learning systems the relevant filtered content depends on the student's grade level. According to the level, different students would have different content view. An idea of agent based testing subsystem for estimation of the student's grade level which is the main measure for dynamic generation of the content view is presented in the paper","PeriodicalId":358971,"journal":{"name":"2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115852817","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. Arús, B. Celda, S. Dasmahapatra, D. Dupplaw, H. González-Vélez, S. Huffel, P. Lewis, M. Ariet, M. Mier, A. Peet, M. Robles
{"title":"On the Design of a Web-Based Decision Support System for Brain Tumour Diagnosis Using Distributed Agents","authors":"C. Arús, B. Celda, S. Dasmahapatra, D. Dupplaw, H. González-Vélez, S. Huffel, P. Lewis, M. Ariet, M. Mier, A. Peet, M. Robles","doi":"10.1109/WI-IATW.2006.97","DOIUrl":"https://doi.org/10.1109/WI-IATW.2006.97","url":null,"abstract":"This paper introduces HealthAgents, an EC-funded research project to improve the classification of brain tumours through multi-agent decision support over a distributed network of local databases or data marts. HealthAgents will not only develop new pattern recognition methods for a distributed classification and analysis of in vivo MRS and ex vivo/in vitro HRMAS and DNA data, but also define a method to assess the quality and usability of a new candidate local database containing a set of new cases, based on a compatibility score","PeriodicalId":358971,"journal":{"name":"2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114897725","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":"Distributed Mining of Constrained Patterns from Wireless Sensor Data","authors":"C. Leung, Quamrul I. Khan, Boyu Hao","doi":"10.1109/WI-IATW.2006.59","DOIUrl":"https://doi.org/10.1109/WI-IATW.2006.59","url":null,"abstract":"With the advance in technology, wireless sensor networks have been widely used in many application areas such as agricultural and environmental monitoring. Sensors distributed in these networks serve as good sources for data. This calls for distributed data mining, which searches for implicit, previously unknown, and potentially useful patterns that might be embedded in the distributed data. Many existing distributed data mining algorithms do not allow users to express the patterns to be mined according to their intension via the use of constraints. Consequently, these unconstrained mining algorithms can yield numerous patterns that are not interesting to users. In this paper, we propose an efficient tree-based system for mining patterns that satisfy user-defined constraints from a distributed environment such as a wireless sensor network. Experimental results show effectiveness of our proposed system","PeriodicalId":358971,"journal":{"name":"2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126373524","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":"Extensibility and Reuse in an Agent-Based Dialogue Model","authors":"Anh Nguyen, W. Wobcke","doi":"10.1109/WI-IATW.2006.70","DOIUrl":"https://doi.org/10.1109/WI-IATW.2006.70","url":null,"abstract":"Most existing dialogue systems have been developed specifically for some predefined task domain(s), thus the issues of extensibility and reuse of the dialogue model are often not given much attention. In this paper, we describe our work on extending an existing agent-based dialogue model for e-mail management to further handle the calendar task domain. We discuss how our approach can achieve modularity of the dialogue model at the level of agent plans, facilitating the reuse of discourse-level plans and enabling the extension of the dialogue model to cover different application domains","PeriodicalId":358971,"journal":{"name":"2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122572934","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":"Support Vector Machines Based Active Learning for the Relevance Feedback Document Retrieval","authors":"T. Onoda, H. Murata, S. Yamada","doi":"10.1109/WI-IATW.2006.125","DOIUrl":"https://doi.org/10.1109/WI-IATW.2006.125","url":null,"abstract":"This paper describes an application of SVM (support vector machines) to interactive document retrieval using active learning. Some works have been done to apply classification learning like SVM to relevance feedback and obtained successful results. However they did not fully utilize characteristic of example distribution in document retrieval. We propose heuristics to bias document showing according to distribution of examples in document retrieval. This heuristic is executed by selecting examples to show a user in neighbors of positive support vectors, and it improves learning efficiency. We implemented a SVM-based interactive document retrieval system using our proposed heuristic, and compare it with conventional systems like Rocchio-based system and a SVM-based system without the heuristic. We conducted systematic experiments using large data sets including over 500,000 paper articles and confirmed our system outperformed other ones","PeriodicalId":358971,"journal":{"name":"2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131472609","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}