ITU

Context and Natural Language in Formal Concept Analysis

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

Standard

Context and Natural Language in Formal Concept Analysis. / Wray, Tim; Eklund, Peter.

Modeling and Using Context. CONTEXT 2017: International and Interdisciplinary Conference on Modeling and Using Context. Springer, 2017. p. 343–355 (Lecture Notes in Computer Science, Vol. 10257).

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

Harvard

Wray, T & Eklund, P 2017, Context and Natural Language in Formal Concept Analysis. in Modeling and Using Context. CONTEXT 2017: International and Interdisciplinary Conference on Modeling and Using Context. Springer, Lecture Notes in Computer Science, vol. 10257, pp. 343–355, 10th International and Interdisciplinary Conference, Paris, France, 21/06/2017. https://doi.org/10.1007/978-3-319-57837-8_28

APA

Wray, T., & Eklund, P. (2017). Context and Natural Language in Formal Concept Analysis. In Modeling and Using Context. CONTEXT 2017: International and Interdisciplinary Conference on Modeling and Using Context (pp. 343–355). Springer. Lecture Notes in Computer Science Vol. 10257 https://doi.org/10.1007/978-3-319-57837-8_28

Vancouver

Wray T, Eklund P. Context and Natural Language in Formal Concept Analysis. In Modeling and Using Context. CONTEXT 2017: International and Interdisciplinary Conference on Modeling and Using Context. Springer. 2017. p. 343–355. (Lecture Notes in Computer Science, Vol. 10257). https://doi.org/10.1007/978-3-319-57837-8_28

Author

Wray, Tim ; Eklund, Peter. / Context and Natural Language in Formal Concept Analysis. Modeling and Using Context. CONTEXT 2017: International and Interdisciplinary Conference on Modeling and Using Context. Springer, 2017. pp. 343–355 (Lecture Notes in Computer Science, Vol. 10257).

Bibtex

@inproceedings{968cee594c364b71af3e8bb63440921c,
title = "Context and Natural Language in Formal Concept Analysis",
abstract = "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.",
keywords = "Formal Concept Analysis, Museums, Context",
author = "Tim Wray and Peter Eklund",
year = "2017",
month = jun,
doi = "10.1007/978-3-319-57837-8_28",
language = "English",
isbn = "978-3-319-57836-1",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "343–355",
booktitle = "Modeling and Using Context. CONTEXT 2017",
address = "Germany",
note = "10th International and Interdisciplinary Conference : Lecture Notes on Artificial Intelligence (LNAI), CONTEXT-2017 ; Conference date: 21-06-2017 Through 23-06-2017",
url = "http://context17.lip6.fr",

}

RIS

TY - GEN

T1 - Context and Natural Language in Formal Concept Analysis

AU - Wray, Tim

AU - Eklund, Peter

PY - 2017/6

Y1 - 2017/6

N2 - 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.

AB - 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.

KW - Formal Concept Analysis, Museums, Context

U2 - 10.1007/978-3-319-57837-8_28

DO - 10.1007/978-3-319-57837-8_28

M3 - Article in proceedings

SN - 978-3-319-57836-1

T3 - Lecture Notes in Computer Science

SP - 343

EP - 355

BT - Modeling and Using Context. CONTEXT 2017

PB - Springer

T2 - 10th International and Interdisciplinary Conference

Y2 - 21 June 2017 through 23 June 2017

ER -

ID: 82993076