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Chapter 19 Knowledge Modeling for Enhanced Information Retrieval and Visualization

机译:第19章用于增强信息检索和可视化的知识建模

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The advent of technologies in information retrieval driven by users' requests calls for an effort to annotate multimedia contents. The exponential growth of digital resources makes the use of manual solutions unfeasible. In recent years domain-specific ontologies (abstract model of some domain) have been adopted to enhance content based annotation and retrieval of these digital resources. In this paper we present an ontology that models implicit and explicit knowledge and information conveyed within a conference life cycle. Our model, presented as a High-level modEL for conference (HELO), is used on the one hand to perform high level annotation of video recordings of a conference allowing granular search facilities and complex queries, and on the other hand to enhance knowledge retrieval and visualization. As a proof-of-concept HELO has been integrated into CALIMERA (Conference Advanced Level Information ManagEment & RetrievAl.) a framework we developed that handles conference information.
机译:由用户请求驱动的信息检索技术的问世要求对多媒体内容进行注释。数字资源的指数增长使得使用手动解决方案不可行。近年来,已经采用了特定领域的本体(某些领域的抽象模型)来增强这些数字资源的基于内容的注释和检索。在本文中,我们提出了一个本体,该本体对会议生命周期内传达的隐式和显式知识和信息进行建模。我们的模型,作为会议的高级modEL(HELO)提出,一方面用于对会议的视频记录进行高级注释,从而可以使用精细的搜索功能和复杂的查询,另一方面可以增强知识检索和可视化。作为概念验证,HELO已集成到CALIMERA(会议高级水平信息管理和检索)中,我们开发了一个处理会议信息的框架。

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