Overview of structured search technology. Using the structure of a document to create better search results for document search and retrieval.
How both search precision and recall is improved when the structure of a document is used.
How a keyword match in a title of a document can be used to boost the search score.
Case studies with the eXist native XML database.
Steps to set up a pilot project.
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Structured Document Search and Retrieval
1. Structured Search Dan McCreary President Dan McCreary & Associates [email_address] (952) 931-9198 Version 4
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8. 117 Citations in Computer Science With 117 citations, the "Intro to IR" book is the second most cited Computer Science reference published in 2008.
9. Table 10.1 XML - Table 10.1 and structured information retrieval. SQLRDB (relational database) search, unstructured information retrieval RDB search unstructured retrieval structured retrieval objects records unstructured documents trees with text at leaves model relational model vector space & others ? main data structure table inverted index ? queries SQL free text queries ?
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11. eXist Native XML Developers eXist Meeting Prague March 12 th , 2010
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13. Table 10.1 - Revised XML - Table 10.1 and structured information retrieval. SQLRDB (relational database) search, unstructured information retrieval RDB search unstructured retrieval structured retrieval objects records unstructured documents trees with text at leaves model relational model vector space & others XML hierarchy main data structure table inverted index trees with node-ids for document ids queries SQL free text queries XQuery fulltext
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16. Reverse Index For each word, a reverse index tells you what documents contain that word. Word Document IDs hate 12344, 34235, 43513, love 12344, 34235, 43513, 22345, 12313, 42345, 12313, 13124
17. Reverse Index in eXist 1.5 Terms that start with "love"
28. Many Objects Have Structure Spreadsheets Find all forms with a label of "Zipcode" Find all spreadsheets with a first row cell that contains the word "SSN"