发明名称 INCREMENTAL DYNAMIC DOCUMENT INDEX GENERATION
摘要 A contextual index compendium that includes contextual index item generation rules that define document index entry generation transforms usable to transform text of the documents into embedded document index entries of document indexes within the documents is obtained by a processor. Using the document index entry generation transforms defined within the contextual index item generation rules in association with a document that includes embedded document index entries that are both embedded at locations of associated text distributed throughout the document and added as part of a document index within the document, new text of the document is programmatically transformed into at least one new document index entry in response to determining that at least one portion of the new text includes candidate text that is not already indexed within the existing embedded document index entries and the document index within the document.
申请公布号 US2016070735(A1) 申请公布日期 2016.03.10
申请号 US201514943806 申请日期 2015.11.17
申请人 International Business Machines Corporation 发明人 Bloomfield Neil G.
分类号 G06F17/30 主分类号 G06F17/30
代理机构 代理人
主权项 1. A method, comprising: obtaining, by a processor, a contextual index compendium comprising contextual index item generation rules that define document index entry generation transforms usable to transform text of the documents into embedded document index entries of document indexes within the documents; and programmatically transforming, using the document index entry generation transforms defined within the contextual index item generation rules in association with a document that comprises embedded document index entries that are both embedded at locations of associated text distributed throughout the document and added as part of a document index within the document, new text of the document into at least one new document index entry in response to determining that at least one portion of the new text comprises candidate text that is not already indexed within the existing embedded document index entries and the document index within the document.
地址 Armonk NY US