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Searching structured documents
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DOI：10.1016/S0306-4573(03)00041-4.png)
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Abstract
En 中文
Structured document interchange formats such as XML and SGML are ubiquitous, however, information retrieval systems supporting structured searching are not. Structured searching can result in increased precision. A search for the author Smith in an unstructured corpus of documents specializing in iron-working could have a lower precision than a structured search for Smith as author in the same corpus. Analysis of XML retrieval languages identifies additional functionality that must be supported including searching at, and broken across multiple nodes in the document tree. A data structure is developed to support structured document searching. Application of this structure to information retrieval is then demonstrated. Document ranking is examined and adapted specifically for structured searching. Published by Elsevier Ltd.
Keywords:
structured information retrieval
indexing and searching
vector space
Boolean searching
SGML and XML
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