From Graveyard to Graph: Reappraising Textual Collation in a Digital Paradigm

Elli Bleeker; R. Haentjens Dekker; Bram Buitendijk

From Graveyard to Graph: Reappraising Textual Collation in a Digital Paradigm

Elli Bleeker, R. Haentjens Dekker, Bram Buitendijk

Onderzoeksoutput: Bijdrage aan wetenschappelijk tijdschrift/periodieke uitgave › Speciale uitgave (redactielidmaatschap) › Wetenschappelijk

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This paper focuses on the visualisation of collation result, and deals with the issues that arise when representing a wealth of information in a meaningful way. It takes the collation software HyperCollate as a touchstone to investigate the topic of representing complex data to advance literary research. The representation of collation result varies according to research objective but in general it needs to allow (1) discovery of patterns and (2) (interactive) exploration of variance on different levels of granularity. As the algorithm of HyperCollate is based on the rich data structure of a hypergraph, it outputs a result that is equally abounding in complex information. The hypergraph contains both text and (TEI/XML) markup, which results in multiple “dimensions”: of the text, of the markup, and of the variation between both. This poses original challenges for the representation of the result, raising questions of a practical as well as a philosophical kind.

Originele taal-2	Engels
Tijdschrift	Digital Scholar
Status	Gepubliceerd - 2018

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20181218_Graveyard-to-Graph-Bleeker-etal
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title = "From Graveyard to Graph: Reappraising Textual Collation in a Digital Paradigm",

abstract = "This paper focuses on the visualisation of collation result, and deals with the issues that arise when representing a wealth of information in a meaningful way. It takes the collation software HyperCollate as a touchstone to investigate the topic of representing complex data to advance literary research. The representation of collation result varies according to research objective but in general it needs to allow (1) discovery of patterns and (2) (interactive) exploration of variance on different levels of granularity. As the algorithm of HyperCollate is based on the rich data structure of a hypergraph, it outputs a result that is equally abounding in complex information. The hypergraph contains both text and (TEI/XML) markup, which results in multiple “dimensions”: of the text, of the markup, and of the variation between both. This poses original challenges for the representation of the result, raising questions of a practical as well as a philosophical kind.",

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author = "Elli Bleeker and {Haentjens Dekker}, R. and Bram Buitendijk",

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T2 - Reappraising Textual Collation in a Digital Paradigm

AU - Bleeker, Elli

AU - Haentjens Dekker, R.

AU - Buitendijk, Bram

N1 - No DOI

PY - 2018

Y1 - 2018

N2 - This paper focuses on the visualisation of collation result, and deals with the issues that arise when representing a wealth of information in a meaningful way. It takes the collation software HyperCollate as a touchstone to investigate the topic of representing complex data to advance literary research. The representation of collation result varies according to research objective but in general it needs to allow (1) discovery of patterns and (2) (interactive) exploration of variance on different levels of granularity. As the algorithm of HyperCollate is based on the rich data structure of a hypergraph, it outputs a result that is equally abounding in complex information. The hypergraph contains both text and (TEI/XML) markup, which results in multiple “dimensions”: of the text, of the markup, and of the variation between both. This poses original challenges for the representation of the result, raising questions of a practical as well as a philosophical kind.

AB - This paper focuses on the visualisation of collation result, and deals with the issues that arise when representing a wealth of information in a meaningful way. It takes the collation software HyperCollate as a touchstone to investigate the topic of representing complex data to advance literary research. The representation of collation result varies according to research objective but in general it needs to allow (1) discovery of patterns and (2) (interactive) exploration of variance on different levels of granularity. As the algorithm of HyperCollate is based on the rich data structure of a hypergraph, it outputs a result that is equally abounding in complex information. The hypergraph contains both text and (TEI/XML) markup, which results in multiple “dimensions”: of the text, of the markup, and of the variation between both. This poses original challenges for the representation of the result, raising questions of a practical as well as a philosophical kind.

KW - collation

KW - visualisation

M3 - Special issue (editorship)

JO - Digital Scholar

JF - Digital Scholar

ER -

From Graveyard to Graph: Reappraising Textual Collation in a Digital Paradigm

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