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Int. J. Knowl. Web Intell.最新文献

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The dynamic teaching materials system: a way to make teaching materials evolve 动态教材系统:教材进化的一种途径
Int. J. Knowl. Web Intell. Pub Date : 1900-01-01 DOI: 10.1504/IJKWI.2012.051318
G. Batista, Mayu Urata, T. Yasuda
{"title":"The dynamic teaching materials system: a way to make teaching materials evolve","authors":"G. Batista, Mayu Urata, T. Yasuda","doi":"10.1504/IJKWI.2012.051318","DOIUrl":"https://doi.org/10.1504/IJKWI.2012.051318","url":null,"abstract":"This paper discusses the development of the dynamic teaching materials system and its evaluation tests. The system was developed in a research project realised jointly at Nagoya University in Japan and Brasilia University in Brazil. The main purpose of creating this system was to find a way to make teaching materials dynamic, so they could be easily adapted to the necessities encountered by the teacher during classes. Another important point was to find a way to allow teachers to create, update and share multimedia interactive teaching materials themselves. The actual features of the system allow the teaching materials to evolve, but there are still many possibilities for improving the system.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"77 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":"131446215","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 user-concept matrix clustering algorithm for efficient next page prediction 一种用户概念矩阵聚类算法，用于高效的下一页预测
Int. J. Knowl. Web Intell. Pub Date : 1900-01-01 DOI: 10.1504/IJKWI.2016.078718
Wedad Hussein, Tarek F. Gharib, R. Ismail, M. Mostafa
{"title":"A user-concept matrix clustering algorithm for efficient next page prediction","authors":"Wedad Hussein, Tarek F. Gharib, R. Ismail, M. Mostafa","doi":"10.1504/IJKWI.2016.078718","DOIUrl":"https://doi.org/10.1504/IJKWI.2016.078718","url":null,"abstract":"Web personalisation is the process of customising a website's content to users' specific needs. Next page prediction is one of the basic techniques needed for personalisation. In this paper, we present a framework for next page prediction that uses user-concept matrix clustering to integrate semantic information into web usage mining process for the purpose of improving prediction quality. We use clustering to group users based on common interests expressed as concept vectors and search only the set of frequent patterns matched to a user's cluster to make a prediction. The proposed framework was tested over two different datasets and compared to usage mining techniques that search the whole set of frequent patterns. The results showed a 33% and 2.1% improvement in the average system accuracy as well as 6.6% and 7.3% improvement in the average system precision and a 6.5% and 1.7% in coverage for the two datasets respectively, within the same computation timeframe.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"94 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":"126084289","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
A pedestrian-oriented map matching algorithm for map information sharing systems in disaster areas 灾区地图信息共享系统中面向行人的地图匹配算法
Int. J. Knowl. Web Intell. Pub Date : 1900-01-01 DOI: 10.1504/IJKWI.2012.051317
K. Asakura, Masayoshi Takeuchi, Toyohide Watanabe
{"title":"A pedestrian-oriented map matching algorithm for map information sharing systems in disaster areas","authors":"K. Asakura, Masayoshi Takeuchi, Toyohide Watanabe","doi":"10.1504/IJKWI.2012.051317","DOIUrl":"https://doi.org/10.1504/IJKWI.2012.051317","url":null,"abstract":"In this paper, we propose a pedestrian-oriented map matching algorithm for tracking moving trajectories of pedestrians. Our algorithm is designed for a map information sharing system among refugees in disaster areas. In this situation, refugees have mobile terminals with GPS devices and move to shelters at walking speed. Thus, our algorithm has to be suitable for battery-driven mobile terminals. In order to reduce battery consumption, our algorithm is based on a geometric curve-to-curve matching approach in which computation resources are less required in comparison with other complicated approaches such as probabilistic map matching, statistical map matching and so on. Furthermore, in order to deal with matching errors, our algorithm has following features: initial matching point selection, candidate road segments selection and incremental matching method. We conduct experiments with real time sequence data captured by GPS. Experimental results shows that our proposed algorithm can achieve the best result in comparison with the other conventional geometric map matching methods.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"15 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":"115340029","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: 6
Breaking news detection from the web documents through text mining and seasonality 基于文本挖掘和季节性的网络突发新闻检测
Int. J. Knowl. Web Intell. Pub Date : 1900-01-01 DOI: 10.1504/IJKWI.2016.078714
Syed Tanveer Jishan, Md. Nuruddin Monsur, Hafiz Abdur Rahman
{"title":"Breaking news detection from the web documents through text mining and seasonality","authors":"Syed Tanveer Jishan, Md. Nuruddin Monsur, Hafiz Abdur Rahman","doi":"10.1504/IJKWI.2016.078714","DOIUrl":"https://doi.org/10.1504/IJKWI.2016.078714","url":null,"abstract":"In recent years, news distribution through the internet has increased significantly and so does our growing dependency on online news sources. As vast numbers of web documents from different news websites are readily available, it is possible to extract information that can be used for various applications. One possible application is breaking news detection through text and property analysis of these web documents. In this paper, we presented an approach to detect breaking news from web documents by using keywords extraction through Brill's tagger and HTML tag attributes. Once the keywords are extracted, seasonality for each of the keywords are calculated by the ratio of the linear weighted moving averages LWMA at each point of the time series. Our approach has been validated and performance metrics have been evaluated with two online newspapers.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"70 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":"116730039","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: 1
CWrap: web wrapping using context variables CWrap:使用上下文变量的网页包装
Int. J. Knowl. Web Intell. Pub Date : 1900-01-01 DOI: 10.1504/IJKWI.2016.10005807
Ahmad Pouramini
{"title":"CWrap: web wrapping using context variables","authors":"Ahmad Pouramini","doi":"10.1504/IJKWI.2016.10005807","DOIUrl":"https://doi.org/10.1504/IJKWI.2016.10005807","url":null,"abstract":"A procedure that extracts data from a data source is called wrapper. In some applications identifying the desired data is better served using a wrapping language rather than an unsupervised method. In this paper, we propose a novel wrapping language, called CWrap. In this language, various types of features (syntactical, semantic, visual and densitometric) can be employed in the extraction rules to identify the items of interest. Moreover, the context in which the desired items appear is specified using variables called context variables. Context variables enable the user to express different types of contextual dependencies (structural, visual and semantical) in a consistent way. They are set under certain conditions by one rule and are used later to form the contextual conditions for another extraction rule. This allows the user to organise the extraction rules in a hierarchical structure, from general to more specific rules. We also present a visual development toolkit which enables the user to develop and debug a wrapper visually and assembling it in an incremental manner.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"38 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":"124960306","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: 0
Knowledge-based automatic generation of 3D building models from building footprint by straight skeleton computation 基于知识的建筑足迹直骨架自动生成三维建筑模型
Int. J. Knowl. Web Intell. Pub Date : 1900-01-01 DOI: 10.1504/IJKWI.2012.051319
Kenichi Sugihara
{"title":"Knowledge-based automatic generation of 3D building models from building footprint by straight skeleton computation","authors":"Kenichi Sugihara","doi":"10.1504/IJKWI.2012.051319","DOIUrl":"https://doi.org/10.1504/IJKWI.2012.051319","url":null,"abstract":"3D urban models are important in several fields, such as urban planning and gaming industries. However, enormous time and labour has to be consumed to create these 3D models. In order to automate laborious steps, a GIS and CG integrated system was proposed for automatically generating 3D building models, based on building polygons (building footprints) on digital maps. For either orthogonal or non-orthogonal building polygons, the knowledge-based system is proposed for automatically generating 3D building models with general shaped roofs by straight skeleton computation. In this paper, the algorithm for 'split event' is clarified and the new methodology is presented for constructing roof models by assuming the third event: 'simultaneous event' and, at the end of the shrinking process, some polygons are converged to 'a line of convergence'.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"61 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":"133601324","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
Automatic web pages hierarchical classification using dynamic domain ontologies 使用动态域本体的自动网页分层分类
Int. J. Knowl. Web Intell. Pub Date : 1900-01-01 DOI: 10.1504/IJKWI.2011.045162
A. M. Rinaldi
{"title":"Automatic web pages hierarchical classification using dynamic domain ontologies","authors":"A. M. Rinaldi","doi":"10.1504/IJKWI.2011.045162","DOIUrl":"https://doi.org/10.1504/IJKWI.2011.045162","url":null,"abstract":"The use of ontologies for knowledge representation has had a fast increase in the last years and they are used in several application context. One of these challenging applications is the web. Managing large amount of information on internet needs more efficient and effective methods and techniques for mining and representing information. In this article, we present a methodology for automatic topic annotation of web pages. We describe an algorithm for words disambiguation using an apposite metric for measuring the semantic relatedness and we show a technique which allows to detect the topic of the analysed document using ontologies extracted from a knowledge base. The strategy is implemented in a system where these information are used to build a topic hierarchy automatically created and not a priori defined for classifying web pages. Experimental results are presented and discussed in order to measure the effectiveness of our approach.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"130 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":"122578981","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 framework for utilising usage trends in the crawling and indexing process of search engines 在搜索引擎的抓取和索引过程中利用使用趋势的框架
Int. J. Knowl. Web Intell. Pub Date : 1900-01-01 DOI: 10.1504/IJKWI.2011.045164
Neelam Duhan, A. Sharma
{"title":"A framework for utilising usage trends in the crawling and indexing process of search engines","authors":"Neelam Duhan, A. Sharma","doi":"10.1504/IJKWI.2011.045164","DOIUrl":"https://doi.org/10.1504/IJKWI.2011.045164","url":null,"abstract":"Making search engines responsive to human needs requires understanding of user navigations through the search results in response to the submitted queries. The user behaviour characterisation provides an interesting perspective towards understanding the workload imposed on the search engine and can be used to address crucial points such as load balancing, content caching, data distribution and result optimisation. The user browsing behaviour is recorded in the query logs of search engines and usually referred to as web usage data. In this paper, a technique to utilise the users' browsing behaviour at the crawling and indexing process is being proposed so as to direct the crawler to download the important pages, which were not previously crawled. As the work attempts to index most of important pages based on user feedback, it would benefit the search engine to enhance its efficiency. To add further to the proposed work, the existing data structures maintained by the search engines has been refined so as to support the proposed user feedback mechanism and open more research directions.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"11 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":"131854179","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
Webpage recommendation with web navigation prediction framework 网页推荐与网页导航预测框架
Int. J. Knowl. Web Intell. Pub Date : 1900-01-01 DOI: 10.1504/IJKWI.2016.078733
D. Sejal, T. Kamalakant, Dinesh Anvekar, K. Venugopal, S. S. Iyengar, L. Patnaik
{"title":"Webpage recommendation with web navigation prediction framework","authors":"D. Sejal, T. Kamalakant, Dinesh Anvekar, K. Venugopal, S. S. Iyengar, L. Patnaik","doi":"10.1504/IJKWI.2016.078733","DOIUrl":"https://doi.org/10.1504/IJKWI.2016.078733","url":null,"abstract":"Huge amount of user request data is generated in web-log. Predicting users' future requests based on previously visited pages is important for webpage recommendation, reduction of latency and online advertising. These applications compromise with prediction accuracy and modelling complexity. We propose a web navigation prediction framework for webpage recommendation WNPWR which creates and generates a classifier based on sessions as training examples. As sessions are used as training examples, they are created by calculating the average time on visiting webpages rather than traditional method which uses 30 minutes as default timeout. This paper uses standard benchmark datasets to analyse and compare our framework with two-tier prediction framework. Simulation results show that our generated classifier framework WNPWR outperforms two-tier prediction framework in prediction accuracy and time.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"4 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":"121842460","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: 0
WSOLINK: web structure outlier detection algorithm WSOLINK: web结构离群点检测算法
Int. J. Knowl. Web Intell. Pub Date : 1900-01-01 DOI: 10.1504/IJKWI.2016.10005796
Rachna Miglani
{"title":"WSOLINK: web structure outlier detection algorithm","authors":"Rachna Miglani","doi":"10.1504/IJKWI.2016.10005796","DOIUrl":"https://doi.org/10.1504/IJKWI.2016.10005796","url":null,"abstract":"In this world of specialisation where everything is getting specialised, data warehouses and web mining techniques are also getting specialised. Web usage mining, web content mining, and web structure mining are various categories of web mining techniques depending upon the data to be mined. Apriori algorithm, FP growth algorithm, and average linear time algorithm are available to analyse the general access patterns in web server logs whereas WCOND-mine and signed with weight technique are web content outlier mining algorithms. However, no such algorithm is available to check the authenticity and availability of hyperlinks in the resultant web pages given by web search engines. The present research work aims at detection of outliers from the results of queries over web pages through web search engines.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"378 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":"121764286","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: 0
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