In the 1950s and 1960s, information retrieval (IR) theorists drew a distinction between“document retrieval systems” and “fact retrieval systems.” The former, were intendedto retrieve, in response to a user’s query, all documents that might contain informationpertinent to answering that query, while the latter were to lead the user directly tospecific pieces of information – facts – embedded within the documents being searchedthat would answer his or her question. The idea of information analysis clearlyprovided the theoretical impetus for fact retrieval (aka question-answering) systems
8 Matching Annotations
- Nov 2024
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Local file Local fileLayout 11
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- Nov 2022
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www.amazon.com www.amazon.com
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www.amazon.com www.amazon.com
- Jul 2022
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liliputing.com liliputing.com
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I may be insane, but somehow text search here makes me wonder that Calibre might actually make an interesting interface for keeping one's notes?
Document management, text search, tagging, reference management capabilities, open source, custom meta data, server potential, etc. What's missing to prevent such an off-label use case?
Syndication link: https://twitter.com/ChrisAldrich/status/1547689914078179328
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- Jul 2020
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marketplace.digitalocean.com marketplace.digitalocean.com
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Note that ONLYOFFICE Document Server does not contain any document management system. ONLYOFFICE online editors (Document Server) can be: integrated with various cloud storage platforms like Confluence, Alfresco, Nextcloud, ownCloud, Seafile, SharePoint, HumHub, Plone, etc.
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- Sep 2015
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www.tagspaces.org www.tagspaces.org
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github.com github.com
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