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Context and Natural Language in Formal Concept Analysis

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CollectionWeb is a framework that uses Formal Concept Analysis (FCA) to link contextually related objects within museum collections. These connections are used to drive a number of user interactions that are intended to promote exploration and discovery. The idea is based on museological perspectives that emphasise the importance of the human, social and cultural contexts that are associated with objects. This paper presents an application of these museological concepts as related to the principles of Formal Concept Analysis along with a description of how the CollectionWeb framework generates narratives based on conceptual pathways. The framework has been applied to a number of user facing applications and provides insights on how FCA and natural language pipelines can be used to provide contextual, linked navigation within museum collections.
Original languageEnglish
Title of host publicationModeling and Using Context. CONTEXT 2017 : International and Interdisciplinary Conference on Modeling and Using Context
Number of pages12
PublisherSpringer
Publication dateJun 2017
Pages343–355
ISBN (Print)978-3-319-57836-1
ISBN (Electronic)978-3-319-57837-8
DOIs
Publication statusPublished - Jun 2017
Event10th International and Interdisciplinary Conference: Lecture Notes on Artificial Intelligence (LNAI) - Université Paris-Sorbonne, Paris, France
Duration: 21 Jun 201723 Jun 2017
http://context17.lip6.fr

Conference

Conference10th International and Interdisciplinary Conference
LocationUniversité Paris-Sorbonne
LandFrance
ByParis
Periode21/06/201723/06/2017
Internetadresse
SeriesLecture Notes in Computer Science
Volume10257
ISSN0302-9743
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    Research areas

  • Formal Concept Analysis, Museums, Context

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