{"title":"Strategy-centred modelling for better understanding of learning/instructional theories","authors":"Y. Hayashi, J. Bourdeau, R. Mizoguchi","doi":"10.1504/IJKWI.2010.034187","DOIUrl":"https://doi.org/10.1504/IJKWI.2010.034187","url":null,"abstract":"Structuring learning/instructional theories suffer from the issue of 'paradigms', which makes them even more challenging. This paper discusses the conceptualisation of the theories and proposes a mechanism to provide perspectives for understanding and utilising them. Two types of conceptualisation proposed in this paper reveal their characteristics from a variety of viewpoints.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124814499","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}
Bhaskar Biswas, K. Jain, Vipul Mittal, K. K. Shukla
{"title":"Exploiting tree structure of a web page for clustering","authors":"Bhaskar Biswas, K. Jain, Vipul Mittal, K. K. Shukla","doi":"10.1504/IJKWI.2009.027926","DOIUrl":"https://doi.org/10.1504/IJKWI.2009.027926","url":null,"abstract":"An approach to designing a Universal Web Wrapper has been in stages of implementation for over years. An issue associated with this is the automated selection of web pages and thereby extraction of content of interest. We propose an algorithm to cluster pages on the basis of their structure. Due to high amount of similarity in these pages, it is be easier to categorise them and extract any particular section of the page. This algorithm makes use of only the structural factors leading to complexity equivalent to O(log n). Further, the algorithm evaluation illustrates the precision and efficiency of the algorithm.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116710872","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 approach for mining web content sensitivity","authors":"Cheng Wang, Y. Liu, Liheng Jian, P. Zhang","doi":"10.1504/IJKWI.2009.027927","DOIUrl":"https://doi.org/10.1504/IJKWI.2009.027927","url":null,"abstract":"Abnormal remarks on the web, such as violence, threat, superstition, etc., may disturb the social order and public morality (referred as sensitive content). To provide a quantitative measure of the sensitivity of a webpage, we propose the concept of web content sensitivity which measures how sensitive a page is. We also propose a web content sensitivity mining approach. Our experiment identified a number of sensitive webpages that traditional frequency-based methods failed to find. By varying the sensitive values of the keywords, different sets of high sensitivity keywords were discovered as well as the corresponding webpages.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116745836","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}
M. Poulos, S. Papavlasopoulos, V. S. Belesiotis, Nikolaos Korfiatis
{"title":"A semantic self-organising webpage-ranking algorithm using computational geometry across different knowledge domains","authors":"M. Poulos, S. Papavlasopoulos, V. S. Belesiotis, Nikolaos Korfiatis","doi":"10.1504/IJKWI.2009.027924","DOIUrl":"https://doi.org/10.1504/IJKWI.2009.027924","url":null,"abstract":"In this paper we introduce a method for Web page-ranking, based on computational geometry to evaluate and test by examples, order relationships among web pages belonging to different knowledge domains. The goal is, through an organising procedure, to learn from these examples a real-valued ranking function that induces ranking via a convexity feature. We consider the problem of self-organising learning from numerical data to be represented by a well-fitted convex polygon procedure, in which the vertices correspond to descriptors representing domains of web pages. Results and statistical evaluation of procedure show that the proposed method may be characterised as accurate.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125231473","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":"Mapping OWL to the Entity Relationship and Extended Entity Relationship models","authors":"S. Bagui","doi":"10.1504/IJKWI.2009.027929","DOIUrl":"https://doi.org/10.1504/IJKWI.2009.027929","url":null,"abstract":"This paper presents mapping rules to conceptually model an Entity Relationship (ER) diagram and Extended Entity Relationship (EER) diagram from OWL by identifying ER and EER constructs in OWL. OWL has been designed for the semantic web, but data in OWL format is not easy to manipulate or query. The conceptual view of OWL presented in this paper is necessary to understand OWL and OWL data, and will be used to eventually map OWL data to the relational model. Once in the relational model, OWL data can avail of mature relational database technology.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124161826","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 fuzzy bi-clustering approach to correlate web users and pages","authors":"Vassiliki A. Koutsonikola, A. Vakali","doi":"10.1504/IJKWI.2009.027923","DOIUrl":"https://doi.org/10.1504/IJKWI.2009.027923","url":null,"abstract":"With the rapid development of information technology, the significance of clustering in the process of delivering information to users is becoming more eminent. Especially in the web information space, clustering analysis can prove particularly beneficial for a variety of applications such as web personalisation and profiling, caching and prefetching and content delivery networks. In this paper, we propose a bi-clustering approach, which identifies groups of related web users and pages. The proposed approach is a three-step process that relies on the principles of spectral clustering analysis and provides a fuzzy relation scheme for the revealed users' and pages' clusters. Experiments have been conducted on both synthetic and real datasets to prove the proposed method's efficiency and reveal hidden knowledge.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133041722","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":"Semantic lifecycles: modelling, application, authoring, mining, and evaluation of meaningful data","authors":"Felix Mödritscher","doi":"10.1504/IJKWI.2009.027928","DOIUrl":"https://doi.org/10.1504/IJKWI.2009.027928","url":null,"abstract":"The Semantic Web aims at evolving the 'web of data' to an 'intelligent information space' which is responsive to both human beings and computer systems. Consequently, semantic technologies have emerged in many application fields, primarily to provide intelligent IT systems. Semantics, therefore, is considered to be the essence of systemic intelligence. In this paper, we introduce a lifecycle model for semantics, consisting of five phases: a) modeling; b) application; c) authoring; d) mining; e) evaluation of semantic information. With respect to this model, we analyse semantic lifecycles from former research work and summarise experiences as well as future research activities.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129044890","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 integrated model for next page access prediction","authors":"F. Khalil, Jiuyong Li, Hua Wang","doi":"10.1504/IJKWI.2009.027925","DOIUrl":"https://doi.org/10.1504/IJKWI.2009.027925","url":null,"abstract":"Accurate next web page prediction benefits many applications, e-business in particular. The most widely used techniques for this purpose are Markov Model, association rules and clustering. However, each of these techniques has its own limitations, especially when it comes to accuracy and space complexity. This paper presents an improved prediction accuracy and state space complexity by using novel approaches that combine clustering, association rules and Markov Models. The three techniques are integrated together to maximise their strengths. The integration model has been shown to achieve better prediction accuracy than individual and other integrated models.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131477495","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":"Composition method of folk-tales based on STRIPS-like framework","authors":"Ryosuke Arasawa, Koichi Hanaue, Toyohide Watanabe","doi":"10.1504/IJKWI.2012.051285","DOIUrl":"https://doi.org/10.1504/IJKWI.2012.051285","url":null,"abstract":"We propose a method for supporting story composition of folk-tales. Our idea is to derive events in a story and their order constraints from the outline specified by a storywriter. To achieve this, we introduce a technique of partial order planning, and represent the situations and the events in a story based on the framework of STRIPS. In our method, events and order constraints are derived according to the policy that respects the intentions of a storywriter specified in his/her outline. We investigated the effectiveness of the policy in a case study.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125567385","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 multi-agent-based negotiation system for web service selection","authors":"Raja Bellakhal, K. Ghédira","doi":"10.1504/IJKWI.2016.10005792","DOIUrl":"https://doi.org/10.1504/IJKWI.2016.10005792","url":null,"abstract":"The web service selection is the process of finding matches between the service descriptions and the client's specific needs including the QoS parameters. Actually, these parameters are dynamic and considering them static affects negatively the system's reliability. To make dynamic the QoS parameters, negotiation appears a relevant tool as it positively influences the success rate of the web service selection process. However, existing works do not consider important characteristics of the real humans' interactions including dependencies existing between the concurrent negotiation processes, and the hybrid as well as the dynamic negotiation aspects. In this paper, we show that omitting these aspects while implementing a selection system incurs degradation on its performance. We propose a web service selection agent system based on a hybrid negotiation that solves these drawbacks. The experimental results show that the proposed approach outperforms the existing approaches in terms of the outputs quality and the CPU time.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133401973","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}