Enhancing Search and Browse Using Automated Clustering of Subject Metadata
نویسندگان
چکیده
منابع مشابه
Enhancing Search and Browse Using Automated Clustering of Subject Metadata
The Web puzzle of online information resources often hinders end-users from effective and efficient access to these resources. Clustering resources into appropriate subject-based groupings may help alleviate these difficulties, but will it work with heterogeneous material? The University of Michigan and the University of California Irvine joined forces to test automatically enhancing metadata r...
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Metadata that describe characteristics of geographic datasets are used for discovering potential datasets and evaluating their suitability for intended purposes (Guptil 1999, Taylor 2004). Discovery is based on search functions relying on metadata about thematic, spatial, and temporal extents of datasets (Beard and Sharma, 1997) and well developed in directories, clearing houses, and digital li...
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We have developed an innovative search interface that allows non-expert users to move through large information spaces in a flexible manner without feeling lost. The design goal was to offer users a “browsing the shelves” experience seamlessly integrated with focused search. Key to achieving our goal is the explicit exposure of hierarchical faceted metadata in a manner that is intuitive and inv...
متن کاملMulti-Modal Conversational Search and Browse
In this paper, we create an open-domain conversational system by combining the power of internet browser interfaces with multi-modal inputs and data mined from web search and browser logs. The work focuses on two novel components: (1) dynamic contextual adaptation of speech recognition and understanding models using visual context, and (2) fusion of users’ speech and gesture inputs to understan...
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ژورنال
عنوان ژورنال: D-Lib Magazine
سال: 2007
ISSN: 1082-9873
DOI: 10.1045/july2007-hagedorn