Howard Besser, Liz Bishoff, K. Geber, J. Griffiths, Joyce Ray
{"title":"The virtual and the real: panel on current research on museum audiences and library users","authors":"Howard Besser, Liz Bishoff, K. Geber, J. Griffiths, Joyce Ray","doi":"10.1109/JCDL.2004.1336105","DOIUrl":"https://doi.org/10.1109/JCDL.2004.1336105","url":null,"abstract":"This panel will discuss current research on museum audiences and library users in both the physical and digital environments Do online resources enhance or inhibit museum visits? Will physical libraries continue to have value? To what extent do museum audiences and library users merge in the online environment? Will online users want \"virtual experiences\" or \"digital libraries\"? What opportunities for lifelong learning are provided by non-traditional library and museum dissemination technologies, such as broadband, gaming environments, and public broadcasting? Panelists will discuss a variety of recently completed and in-progress studies with implications for digital library development and learning applications.","PeriodicalId":362133,"journal":{"name":"Proceedings of the 2004 Joint ACM/IEEE Conference on Digital Libraries, 2004.","volume":"1030 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123328941","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}
Peter K. Allen, Steven K. Feiner, L. Meskell, K. A. Ross, Alejandro J. Troccoli, Hrvoje Benko, Edward W. Ishak, Benjamin Smith, J. Conlon
{"title":"Digitally modeling, visualizing and preserving archaeological sites","authors":"Peter K. Allen, Steven K. Feiner, L. Meskell, K. A. Ross, Alejandro J. Troccoli, Hrvoje Benko, Edward W. Ishak, Benjamin Smith, J. Conlon","doi":"10.1109/JCDL.2004.1336168","DOIUrl":"https://doi.org/10.1109/JCDL.2004.1336168","url":null,"abstract":"Preserving cultural heritage and historic sites is an important problem. These sites are subject to erosion and vandalism, and, as long-lived artifacts, they have gone through many phases of construction, damage and repair. We believe that it is important to use 3D model building technology to create an accurate record of these sites, so preservationists can track changes and foresee structural problems. From a digital libraries perspective, 3D models also allow a much wider audience to \"virtually\" see and tour these sites. We have developed a suite of new methods that can reduce the time to build a model through automation. Our methods utilize range image segmentation and feature extraction algorithms. Once the 3D model is constructed, it is necessary to texture map it with imagery to create a geometrically and photometrically correct model. We are developing a 3D visualization environment to aid archaeologists in their post-excavation interpretation and analysis.","PeriodicalId":362133,"journal":{"name":"Proceedings of the 2004 Joint ACM/IEEE Conference on Digital Libraries, 2004.","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123369463","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":"Error analysis of Chinese text segmentation using statistical approach","authors":"C.C. Yang, K.W. Li","doi":"10.1145/996350.996410","DOIUrl":"https://doi.org/10.1145/996350.996410","url":null,"abstract":"The Chinese text segmentation is important for the indexing of Chinese documents, which has significant impact on the performance of Chinese information retrieval. The statistical approach overcomes the limitations of the dictionary based approach. The statistical approach is developed by utilizing the statistical information about the association of adjacent characters in Chinese text collected from the Chinese corpus. Both known words and unknown words can be segmented by the statistical approach. However, errors may occur due to the limitation of the corpus. In this work, we have conducted the error analysis of two Chinese text segmentation techniques using statistical approach, namely, boundary detection and heuristic method. Such error analysis is useful for the future development of the automatic text segmentation of Chinese text or other text in oriental languages. It is also helpful to understand the impact of these errors on the information retrieval system in digital libraries.","PeriodicalId":362133,"journal":{"name":"Proceedings of the 2004 Joint ACM/IEEE Conference on Digital Libraries, 2004.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126063045","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":"Greenstone digital library software: current research","authors":"D. Bainbridge, I. Witten","doi":"10.1109/JCDL.2004.1336220","DOIUrl":"https://doi.org/10.1109/JCDL.2004.1336220","url":null,"abstract":"The Greenstone digital library software (www.greenstone.org) provides a flexible way of organizing information and publishing it on the Internet or removable media such as CDROM. Its aim is to empower users, particularly in universities, libraries and other public service institutions, to build their own digital libraries. It is open-source software, issued under the terms of the GNU General Public License. It is produced by the New Zealand Digital Library Project at the University of Waikato, and developed and distributed in cooperation with UNESCO and the Human Info NGO.","PeriodicalId":362133,"journal":{"name":"Proceedings of the 2004 Joint ACM/IEEE Conference on Digital Libraries, 2004.","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122511334","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}
Hui Han, C. Lee Giles, H. Zha, Cheng Li, Kostas Tsioutsiouliklis
{"title":"Two supervised learning approaches for name disambiguation in author citations","authors":"Hui Han, C. Lee Giles, H. Zha, Cheng Li, Kostas Tsioutsiouliklis","doi":"10.1145/996350.996419","DOIUrl":"https://doi.org/10.1145/996350.996419","url":null,"abstract":"Due to name abbreviations, identical names, name misspellings, and pseudonyms in publications or bibliographies (citations), an author may have multiple names and multiple authors may share the same name. Such name ambiguity affects the performance of document retrieval, Web search, database integration, and may cause improper attribution to authors. We investigate two supervised learning approaches to disambiguate authors in the citations. One approach uses the naive Bayes probability model, a generative model; the other uses support vector machines (SVMs) [V. Vapnik (1995)] and the vector space representation of citations, a discriminative model. Both approaches utilize three types of citation attributes: coauthor names, the title of the paper, and the title of the journal or proceeding. We illustrate these two approaches on two types of data, one collected from the Web, mainly publication lists from homepages, the other collected from the DBLP citation databases.","PeriodicalId":362133,"journal":{"name":"Proceedings of the 2004 Joint ACM/IEEE Conference on Digital Libraries, 2004.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131504286","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":"Digital libraries and community networking: the Canadian experience","authors":"Nadia Caidi, A. Clement","doi":"10.1109/JCDL.2004.1336165","DOIUrl":"https://doi.org/10.1109/JCDL.2004.1336165","url":null,"abstract":"We describe integrating DLs with community networking initiatives as part of the Canadian Research Alliance for Community Innovation and Networking.","PeriodicalId":362133,"journal":{"name":"Proceedings of the 2004 Joint ACM/IEEE Conference on Digital Libraries, 2004.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133677543","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 video classification and feature subset selection under context and concept uncertainty","authors":"Jianping Fan, Hangzai Luo, Jing Xiao, Lide Wu","doi":"10.1145/996350.996395","DOIUrl":"https://doi.org/10.1145/996350.996395","url":null,"abstract":"As large collections of videos become one key component of digital libraries, there is an urgent need of semantic video classification and feature subset selection to enable more effective video database organization and retrieval. However, most existing techniques for classifier training require a large number of labeled samples to learn correctly and suffer from the problems of context and concept uncertainty when only a limited number of labeled samples are available. To address the problems of context and concept uncertainty, we have proposed a novel framework to achieve incremental classifier training by integrating a limited number of labeled samples with a large number of unlabeled samples. Specifically, the contributions of this paper include: (a) Using the salient objects to achieve a middle-level understanding of video contents and enhance the quality of features on discriminating among different semantic video concepts; (b) Modeling the semantic video concepts by using the finite mixture models to approximate the class distributions of the relevant salient objects; (c) Developing an adaptive EM algorithm to integrate the unlabeled samples to enable incremental classifier training and address the problem of context uncertainty; (d) Proposing a cost-sensitive video classification technique to address the problem of concept uncertainty over time; (e) Supporting automatic video annotation via semantic classification. Our experimental results in a certain domain of medical education videos have also been provided a convincing proof of our conclusions.","PeriodicalId":362133,"journal":{"name":"Proceedings of the 2004 Joint ACM/IEEE Conference on Digital Libraries, 2004.","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132242225","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":"The 3D vase museum: a new approach to context in a digital library","authors":"Horn-yeu Shiaw, R. Jacob, G. Crane","doi":"10.1145/996350.996381","DOIUrl":"https://doi.org/10.1145/996350.996381","url":null,"abstract":"We present a new approach to displaying and browsing a digital library collection, a set of Greek vases in the Perseus digital library. Our design takes advantage of three-dimensional graphics to preserve context even while the user focuses in on a single item. In a typical digital library user interface, a user can either get an overview for context or else see a single selected item, sacrificing the context view. In our 3D Vase Museum, the user can navigate seamlessly from a high level scatterplot-like plan view to a perspective overview of a subset of the collection, to a view of an individual item, to retrieval of data associated with that item, all within the same virtual room and without any mode change or special command. We present this as an example of a solution to the problem of focus-plus-context in information visualization. We developed 3D models from the 2D photographs in the collection and placed them in our 3D virtual room. We evaluated our approach by comparing it to the conventional interface in Perseus using tasks drawn from archaeology courses and found a clear improvement. Subjects who used our 3D Vase Museum performed the tasks 33% better and did so nearly three times faster.","PeriodicalId":362133,"journal":{"name":"Proceedings of the 2004 Joint ACM/IEEE Conference on Digital Libraries, 2004.","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117085995","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":"How people describe their image information needs: a grounded theory analysis of visual arts queries","authors":"S. Cunningham, D. Bainbridge, M. Masoodian","doi":"10.1145/996350.996362","DOIUrl":"https://doi.org/10.1145/996350.996362","url":null,"abstract":"When people are looking for visual arts information - information related to images - how do they characterize their needs? We analyze a set of 404 queries to identify the attributes that people provide to the Google Answers /spl trade/ 'ask an expert' online reference system. The results suggest directions to take in developing an effective organization and features for an image digital library.","PeriodicalId":362133,"journal":{"name":"Proceedings of the 2004 Joint ACM/IEEE Conference on Digital Libraries, 2004.","volume":"2 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124207107","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}
K. Maly, M. Nelson, M. Zubair, A. Amrou, S. Kothamasa, L. Wang, R. Luce
{"title":"Light-weight communal digital libraries","authors":"K. Maly, M. Nelson, M. Zubair, A. Amrou, S. Kothamasa, L. Wang, R. Luce","doi":"10.1145/996350.996403","DOIUrl":"https://doi.org/10.1145/996350.996403","url":null,"abstract":"We describe Kepler, a collection of light-weight utilities that allow for simple and quick digital library construction. Kepler bridges the gap between established, organization-backed digital libraries and groups of researchers that wish to publish their findings under their control, anytime, anywhere yet have the advantage of their personal libraries. The personal libraries, or \"archivelets\", are open archives initiative (OAI) compliant and thus available for harvesting from OAI service providers. A Kepler archivelet can be installed in the order of minutes by an author on a personal machine and a Kepler group server in the order of hours.","PeriodicalId":362133,"journal":{"name":"Proceedings of the 2004 Joint ACM/IEEE Conference on Digital Libraries, 2004.","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124541762","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}