{"title":"Music information retrieval by detecting mood via computational media aesthetics","authors":"Yazhong Feng, Yueting Zhuang, Yunhe Pan","doi":"10.1109/WI.2003.1241199","DOIUrl":"https://doi.org/10.1109/WI.2003.1241199","url":null,"abstract":"It is well known that music can convey emotion and modulate mood, to retrieve music by mood is sometimes the exclusive manner people select music to enjoy. We concentrate on music retrieval by detecting mood. Mood detection is implemented on the viewpoint of computational media aesthetics, that is, by analyzing two music dimensions, tempo and articulation, in the procedure of making music, we derive four categories of mood, happiness, anger, sadness and fear. Concretely, with regard to music in the format of raw audio, after tempo is detected using a multiple agent approach, a feature called relative tempo is calculated, and after the mean and standard deviation of the feature called average silence ratio in the presented computational articulation model are calculated, a simple BP neural network classifier is trained to detect mood. Users retrieval music by browsing the 3D visualization of feature space associated with specific mood. We report the experimental result on a test corpus of 353 pieces of popular music with various genres.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"77 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":"126247600","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":"Context sensitive text mining and belief revision for adaptive information retrieval","authors":"Raymond Y. K. Lau","doi":"10.1109/WI.2003.1241202","DOIUrl":"https://doi.org/10.1109/WI.2003.1241202","url":null,"abstract":"Autonomous information agents alleviate the information overload problem on the Internet. The AGM belief revision framework provides a rigorous foundation to develop adaptive information agents. The expressive power of the belief revision logic allow a user's information preferences and contextual knowledge of a retrieval situation to be captured and reasoned about within a single logical framework. Contextual knowledge for information retrieval can be acquired via context sensitive text mining. We illustrate a novel approach of integrating the proposed text mining method into the belief revision based adaptive information agents to improve the agents' learning autonomy and prediction power.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"3 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":"128931494","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 framework for an advanced reading support in the digital library age","authors":"K. Rouane, C. Frasson, M. Kaltenbach","doi":"10.1109/WI.2003.1241260","DOIUrl":"https://doi.org/10.1109/WI.2003.1241260","url":null,"abstract":"The promise of digital libraries is an easy and rapid access to digital documents using information technology. However, in an educational context, helping the students access the right document is not sufficient. Systems must be able to help during the reading phase as well. We present the LEKC framework (learning by explicit knowledge construction) [K. Rouane, et al. (2000)] which aims to take advantage of the natural annotation activity to increase the reader's engagement with the document and enhance his understanding, by externalizing and making explicit some of the implicit knowledge construction processes taking place.","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":"128990532","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 system for Chinese question answering","authors":"Gai-Tai Huang, Hsiu-hsen Yao","doi":"10.1109/WI.2003.1241239","DOIUrl":"https://doi.org/10.1109/WI.2003.1241239","url":null,"abstract":"Traditional Chinese text retrieval systems return a ranked list of documents in response to a user's request. While a ranked list of documents can be an appropriate response for the user, frequently it is not. Usually it would be better for the system to provide the answer itself instead of requiring the user to search for the answer in a set of documents. Since Chinese text retrieval has just been developed lately, and due to various specific characteristics of Chinese language, the approaches of its retrieval are quite different from those studies and researches proposed to deal with Western language. Thus, we have developed an architecture that augments existing search engines so that they support Chinese natural language question answering. We describe a new approach to build Chinese question answering system. Which we believe to be the first general-purpose, fully-automated Chinese question-answering system available on the Web. Our system performs quite well given the simplicity of the techniques being utilized. Experimental results show that question answering accuracy can be greatly improved by analyzing more and more matching ERE relation data lists. Simple ERE relation data extraction techniques work well in our system making it efficient to use with many backend retrieval engines.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"342 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":"117071642","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}
Jiajin Huang, Chunnian Liu, Chuangxin Ou, Yiyu Yao, N. Zhong
{"title":"Attribute reduction of rough sets in mining market value functions","authors":"Jiajin Huang, Chunnian Liu, Chuangxin Ou, Yiyu Yao, N. Zhong","doi":"10.1109/WI.2003.1241242","DOIUrl":"https://doi.org/10.1109/WI.2003.1241242","url":null,"abstract":"The linear model of market value functions is a new method for direct marketing. Just like other methods in direct marketing, attribute reduction is very important to deal with large databases. We apply the algorithm of attribute reduction, which is based on the combination of rough set theory with the boosting algorithm, to the linear model of market value functions. Experimental results compared with the ELSA/ANN model show that the proposed algorithms can be used effectively in the linear model of market value functions.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"107 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":"122732691","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":"Mining answers in German Web pages","authors":"G. Neumann, Feiyu Xu","doi":"10.1109/WI.2003.1241183","DOIUrl":"https://doi.org/10.1109/WI.2003.1241183","url":null,"abstract":"We present a novel method for mining textual answers in German Web pages using semistructured NL questions and Google for initial document retrieval. We exploit the redundancy on the Web by weighting all identified named entities (NEs) found in the relevant document set based on their occurrences and distributions. The ranked NEs are used as our primary anchors for document indexing, paragraph selection, and answer identification. The latter is dependent on two factors: the overlap of terms at different levels (e.g., tokens and named entities) between queries and sentences, and the relevance of identified NEs corresponding to the expected answer type. The set of answer candidates is further subdivided into ranked equivalent classes from which the final answer is selected. The system has been evaluated using question-answer pairs extracted from a popular German quiz book.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"26 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":"117273170","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}
L. Ardissono, A. Goy, G. Petrone, Ralph Schäfer, M. Holland, G. Friedrich, C. Russ
{"title":"Intelligent user interfaces for Web-based configuration systems","authors":"L. Ardissono, A. Goy, G. Petrone, Ralph Schäfer, M. Holland, G. Friedrich, C. Russ","doi":"10.1109/WI.2003.1241289","DOIUrl":"https://doi.org/10.1109/WI.2003.1241289","url":null,"abstract":"We present a model for the integration of intelligent user interfaces and configuration techniques. This model enhances the capabilities of online stores by supporting the development of configuration systems that assist customers in a personalised way, while they selects the features of the products/services to be configured.","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":"115945254","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 unified fuzzy feature indexing scheme for region based online image querying","authors":"Ruofei Zhang, Zhongfei Zhang, Jian Yao","doi":"10.1109/WI.2003.1241230","DOIUrl":"https://doi.org/10.1109/WI.2003.1241230","url":null,"abstract":"We describe a novel indexing and retrieval methodology integrating color, texture and shape information for content-based image retrieval in online image databases. This methodology, called PicSearcher, applies unsupervised image segmentation to partition an image into a set of regions, then fuzzy color histogram as well as fuzzy texture and shape properties of each region is calculated to be part of their signatures. The fuzzification procedures resolve the recognition uncertainty stemming from color quantization and human perception of colors. At the same time, this unified fuzzy scheme incorporates the segmentation-related uncertainties into the retrieval algorithm. Then an adaptive and effective measure for the overall similarity between images is developed by integrating properties of all the regions in the image. An implemented prototype system of PicSearcher has demonstrated a promising retrieval performance for an online test database containing 10,000 general-purpose color images, as compared with its peer systems in the literature.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"1 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":"130880090","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}
E. Iorio, Michelangelo Diligenti, M. Gori, Marco Maggini, A. Pucci
{"title":"Detecting near-replicas on the Web by content and hyperlink analysis","authors":"E. Iorio, Michelangelo Diligenti, M. Gori, Marco Maggini, A. Pucci","doi":"10.1109/WI.2003.1241201","DOIUrl":"https://doi.org/10.1109/WI.2003.1241201","url":null,"abstract":"The presence of near-replicas of documents is very common on the Web. Documents may be replicated completely or partially for different reasons (versions, mirrors, etc.), or the same resource can be associated to different URLs (dynamically generated pages, etc.). Whilst replication can improve information accessibility by the users, the presence of near-replicated documents can hinder the effectiveness of search engines (for example, decreasing the coverage). We propose a method to detect similar pages, in particular replicas and near-replicas, which is based on a pair of signatures. The first signature is obtained by a random projection of the bag-of-words vector representing the page contents. The second signature is computed by a recursive equation which exploits the connectivity among the Web pages to code the context of each page. The accuracy of the proposed approach is analyzed and validated by experimental results which show that on the given dataset near-replicas can be detected with a precision-recall of 93%.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"467 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":"128753485","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":"Topic and meta-descriptor extraction for text description","authors":"Nicolas Hernandez, Brigitte Grau","doi":"10.1109/WI.2003.1241197","DOIUrl":"https://doi.org/10.1109/WI.2003.1241197","url":null,"abstract":"We present a dynamic summarization method that combines text segmentation and topical and rhetorical text description to rapidly skim through texts. The speed reading is made thanks to presentation to the user of relevant expressions from the text, labelled with topical and argumentative specification. In particular, we describe a method to automatically acquire meta-descriptive lexicon from a scientific corpus without specific knowledge resources requirement.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"20 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":"114997611","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}