Bull. IEEE Tech. Comm. Digit. Libr.最新文献

{"title":"Digital library education: some international course structure comparisons","authors":"Yongqin Ma, A. O'Brien, W. Clegg","doi":"10.1145/1255175.1255289","DOIUrl":"https://doi.org/10.1145/1255175.1255289","url":null,"abstract":"Following our recent review of progress in Digital Library (DL) education [1], we present here a brief overview of current work to investigate the commonality/diversity of course structure between ten institutions outside North America which offer DL education in their library schools. The weighting of specifically DL module topic credits as a proportion of the overall course taught credits varies between 13% and 63%, and coverage of a proposed core topic set [2] is as high as 85%.","PeriodicalId":149366,"journal":{"name":"Bull. IEEE Tech. Comm. Digit. Libr.","volume":"363 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132687679","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":"DRIADE: a data repository for evolutionary biology","authors":"Jed Dube, Sarah Carrier, J. Greenberg","doi":"10.1145/1255175.1255280","DOIUrl":"https://doi.org/10.1145/1255175.1255280","url":null,"abstract":"NESCent (The National Evolutionary Synthesis Center) is developing DRIADE (Digital Repository of Information and Data for Evolution) to address synthetic research challenges fundamental to advancing the field of evolutionary biology. This poster highlights results from a survey of selected repositories' functionalities, DRIADE's functional requirements, and DRIADE's functional model. We also summarize ongoing research activities, studying evolutionary biologists' data preservation practices and use requirements.","PeriodicalId":149366,"journal":{"name":"Bull. IEEE Tech. Comm. Digit. Libr.","volume":"15 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123781243","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 Components: A model for enhancing retrieval of domain-specific information","authors":"Susan Price","doi":"10.15760/ETD.2670","DOIUrl":"https://doi.org/10.15760/ETD.2670","url":null,"abstract":"Despite the success of general Internet search engines, information retrieval remains an incompletely solved problem. Our research focuses on supporting domain experts when they search domain-specific libraries to satisfy targeted information needs. The semantic components model introduces a schema specific to a particular document collection. A semantic component schema consists of a two-level hierarchy, document classes and semantic components. A document class represents a document grouping, such as topic type or document purpose. A semantic component is a characteristic type of information that occurs in a particular document class and represents an important aspect of the document's main topic. Semantic component indexing identifies the location and extent of semantic component instances within a document and can supplement traditional full text and keyword indexing techniques. Semantic component searching allows a user to refine a topical search by indicating a preference for documents containing specific semantic components or by indicating terms that should appear in specific semantic components. \u0000We investigate four aspects of semantic components in this research. First, we describe lessons learned from using two methods for developing schemas in two domains. Second, we demonstrate use of semantic components to express domain-specific concepts and relationships by mapping a published taxonomy of questions asked by family practice physicians to the semantic component schemas for two document collections about medical care. Third, we report the results of a user study, showing that manual semantic component indexing is comparable to manual keyword indexing with respect to time and perceived difficulty and suggesting that semantic component indexing may be more accurate and consistent than manual keyword indexing. Fourth, we report the results of an interactive searching study, demonstrating the ability of semantic components to enhance search results compared to a baseline system without semantic components. \u0000In addition, we contribute a formal description of the semantic components model, a prototype implementation of semantic component indexing software, and a prototype implementation adding semantic components to an existing commercial search engine. Finally, we analyze metrics for evaluating instances of semantic component indexing and keyword indexing and illustrate use of a session-based metric for evaluating multiple-query search sessions.","PeriodicalId":149366,"journal":{"name":"Bull. IEEE Tech. Comm. Digit. Libr.","volume":"29 S91","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113954079","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":"Using Web Archives to Enrich the Live Web Experience Through Storytelling","authors":"Yasmin AlNoamany","doi":"10.25777/ZM0W-GP91","DOIUrl":"https://doi.org/10.25777/ZM0W-GP91","url":null,"abstract":"The web has become an integral part of our lives, shaping how we get news, shop, and communicate. When critical events occur, social media and news websites cover the stories as they break and continually revise them as the story evolves. Unfortunately, much of the content around these stories is vulnerable and prone to loss. Thus, web archives have become a significant repository of our recent history and cultural heritage. Content from web archives can be used to fill in the gaps in the live web about the evolution of the story of an important event. Every story is made up of a sequence of events. In this research, events are exemplified through corresponding web pages from the live web and web archives, (semi-)automatically discovered, arranged in a narrative structure ordered by time, and replayed through an appropriate visualization interface.","PeriodicalId":149366,"journal":{"name":"Bull. IEEE Tech. Comm. Digit. Libr.","volume":"7 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":"115160764","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}