Titlebook: Intelligent Search on XML Data; Applications, Langua Henk Blanken,Torsten Grabs,Gerhard Weikum Book 2003 Springer-Verlag Berlin Heidelberg

處理

Demand for Intelligent Search Tools in Medicine and Health Careients and health professionals to find proper data, information and knowledge..Medicine has a long history in structured or semi-structured documentation. On the one hand medical documentation of diagnoses has been performed using the ICD-10 (International Classification of Diseases, 10th revision [

indices

The Use of XML in a Video Digital Libraryion of audio and video is an extremely important communication channel: it is considered that approximately 50% of what is seen and heard simultaneously is retained. Due to all these considerations, audio/video is particularly important in many different application sectors, such as TV broadcasting,

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Full-Text Search with XQuery: A Status Reportly for representing marked-up documents – as its heritage based on SGML indicates – but also highly-structured hierarchical data such as object hierarchies or relational data and semistructured data (see Fig. 3.1). Even data that traditionally has been represented in binary format such as graphics i

GLIDE

A Query Language and User Interface for XML Information Retrieval. Since classical IR methods were developed for unstructured documents only, the logical markup of XML documents poses new challenges..Since XML supports logical markup of texts both at the macro level (structuring markup for chapter, section, paragraph and so on) and the micro level (e.g., MathML f

種屬關(guān)系

Tamino – A Database System Combining Text Retrieval and XMLe popular since then, being used with differing meanings. While some sources, e.g. [10], define a native XML database system only by its appearance to the user (“Defines a (logical) model for an XML document ... and stores and retrieves documents according to that model. ... For example, it can be b

機(jī)警

壟斷

Statistical Language Models for Intelligent XML RetrievalDs and XML schema) and query languages (XPath and XQuery). Following this line of reasoning, an XML database might resemble traditional database systems. However, XML is more than a language to mark up data; it is also a language to mark up textual documents. In this chapter we specifically address

heirloom

Ontology-Enabled XML Searchfrom largely unstructured, ad hoc documents to highly structured, schematic data. However, established XML query languages like XML-QL [96] or XQuery [34] cannot cope with the rapid growth of information in open environments such as the Web or intranets of large corporations, as they are bound to bo

消極詞匯

Using Relevance Feedback in XML Retrievalooks and structured documents in (digital) libraries. Often, users were assisted by well-trained librarians or specialists to retrieve documents fitting their information need. With the proliferation of the internet, retrieval systems for further media types like images, video, audio and semi-struct

有雜色

Classification and Focused Crawling for Semistructured Dataen applied to XML documents in large intranets, digital libraries, federations of scientific data repositories, and ultimately the Web. In such environments, data has much more diverse structure and annotations than in a business-data setting and there is virtually no hope for a common schema or DTD