2002
DOI: 10.1002/asi.10056
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A survey in indexing and searching XML documents

Abstract: XML holds the promise to yield (1) a more precise search by providing additional information in the elements, (2) a better integrated search of documents from heterogeneous sources, (3) a powerful search paradigm using structural as well as content specifications, and (4) data and information exchange to share resources and to support cooperative search. We survey several indexing techniques for XML documents, grouping them into flatfile, semistructured, and structured indexing paradigms. Searching techniques … Show more

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Cited by 65 publications
(47 citation statements)
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References 121 publications
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“…Approaches that were specifically developed for XML retrieval, but still pre-INEX include [60,40,16,57]. A survey on indexing and searching XML retrieval is from [43], and two workshops on XML retrieval held at the SIGIR 9 conference were reported in [6,15]. A recent overview on XML retrieval research is from [2].…”
Section: Resultsmentioning
confidence: 99%
“…Approaches that were specifically developed for XML retrieval, but still pre-INEX include [60,40,16,57]. A survey on indexing and searching XML retrieval is from [43], and two workshops on XML retrieval held at the SIGIR 9 conference were reported in [6,15]. A recent overview on XML retrieval research is from [2].…”
Section: Resultsmentioning
confidence: 99%
“…It is mach ine readable and flexib le. It is useful if anyone want to make its document in the search engine because it does not prohibit it [54].…”
Section: Technologies Used For Semantic Search Enginesmentioning
confidence: 99%
“…Indexing Model The simplest semi-structured indexing method is to represent an ontology entity as a set of attribute-value pairs using a field-based approach [15]. For example, the ontology class foaf:Person will have fields label, comment and subClassOf ; index terms are constructed by concatenating the field names with values of this field, for example as subClassOf:Agent.…”
Section: Rdf Cck: From Content Models To Site Vocabulariesmentioning
confidence: 99%