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xDOC: a system for XML based document annotation and searching

Published: 19 March 2009 Publication History

Abstract

XDoc is an XML based annotation tool and document repository. An annotator uses a tool to add annotations to a document, highlighting the most important parts. The annotation tool allows an annotator to select areas of text within a document and then select an annotation type. The annotations are then uploaded into a document repository. A document repository uses these electronically captured annotations as the basis for searching. From the document repository users can build queries based on the annotations to locate relevant documents. A user can specify the type of annotations that should be included in the search. Because searches are only performed over the selected annotations searches can be performed faster. Additionally, search queries can be specified using traditional keyword based approaches or by more powerful query languages such as XPath.

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  • (2020)SpectatorProceedings of the 2020 Conference on Human Information Interaction and Retrieval10.1145/3343413.3377986(467-471)Online publication date: 14-Mar-2020

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ACMSE '09: Proceedings of the 47th annual ACM Southeast Conference
March 2009
430 pages
ISBN:9781605584218
DOI:10.1145/1566445
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 19 March 2009

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ACM SE 09
ACM SE 09: ACM Southeast Regional Conference
March 19 - 21, 2009
South Carolina, Clemson

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Overall Acceptance Rate 502 of 1,023 submissions, 49%

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  • (2020)SpectatorProceedings of the 2020 Conference on Human Information Interaction and Retrieval10.1145/3343413.3377986(467-471)Online publication date: 14-Mar-2020

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