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Pregled bibliografske jedinice broj: 1018789

Developing a complex system model for research and representation of Commemoration Speeches in Croatia using a graph property database


Perak, Benedikt
Developing a complex system model for research and representation of Commemoration Speeches in Croatia using a graph property database // Digital Humanities: Empowering Visibility of Croatian Cultural Heritage
Zadar, Hrvatska, 2017. str. 20-22 (predavanje, međunarodna recenzija, prošireni sažetak, znanstveni)


CROSBI ID: 1018789 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Developing a complex system model for research and representation of Commemoration Speeches in Croatia using a graph property database

Autori
Perak, Benedikt

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, prošireni sažetak, znanstveni

Izvornik
Digital Humanities: Empowering Visibility of Croatian Cultural Heritage / - , 2017, 20-22

Skup
Digital Humanities: Empowering Visibility of Croatian Cultural Heritage

Mjesto i datum
Zadar, Hrvatska, 06.11.2017. - 07.11.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Cultural memory, commemoration, text analysis, monument representation, social ontology, complex system, graph database

Sažetak
This paper demonstrates the ontological model of Commemoration Speeches in Croatia developed as a part of a project “Framing the Nation and collective identity in Croatia: Political Rituals and the Cultural Memory of Twentieth Century Traumas “, a four-year project financed by the Croatian Science Foundation, that seeks to develop innovative digital humanities methodologies for cultural memory research and cognitive linguistics analysis. The research involves gathering linguistic, media and social data about seven commemoration practices connected to the wars of the 20th century: Jasenovac, Bleiburg, Brezovica and Jazovka, Srb, Knin and Vukovar, using various methodologies involving audio-visual field recordings, commemoration speeches transcription and creation of text corpus. The speeches on the official commemorations are delivered by the political elites (specifically the president, prime minister, and chairman of the parliament), the current political opposition as well as other relevant social actors (religious organizations, Anti-fascist organizations, veteran organizations etc.), which support or discredit official narratives. The paper presents digital humanities methods used to connect various levels of data analysis and digital resources ; from natural language processing NLP for Croatian (https://github.com/clarinsi/reldi-lib-doc) to the conceptual enrichment (https://www.wikidata.org), conceptual metaphors processing (http://zrno.fsb.hr:8080/Metafore), discourse analysis tools applied on the (currently 70) commemoration texts, as well GIS data of commemoration places and monuments visualization, application of the historical resources and social data. These resources are integrated using an ontological model that embeds the linguistic and media research in the social context respectively to the social identity of actors, their interaction, institutional affiliations and cultural models they represent and express. These various source information and analyses are stored in the graph property database Neo4j and connected via model shown in the illustration 1 Illustration 1. The ontological model of Commemorative Speech Analysis The value of this ontological model is in fostering interdisciplinary approach through the contextualization of data and targeted usage of digital resources. The contextualization of the data enables the holistic insight into the dynamics of cultural memory practices and its political implications for the contemporary culture. The usage of the digital methods allows for a fine-grained quantitative analysis that, due to the graph property organization of the model continues to be qualitatively expressive, flexible and non- reductive. In the presentation, we will show the basic components and query results in the system containing Neo4j database, Python Py2Neo library for data manipulation, connection to digital humanities resources, and Interactor application for visualization of data.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti, Filologija



POVEZANOST RADA


Ustanove:
Filozofski fakultet, Rijeka

Profili:

Avatar Url Benedikt Perak (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada

Citiraj ovu publikaciju:

Perak, Benedikt
Developing a complex system model for research and representation of Commemoration Speeches in Croatia using a graph property database // Digital Humanities: Empowering Visibility of Croatian Cultural Heritage
Zadar, Hrvatska, 2017. str. 20-22 (predavanje, međunarodna recenzija, prošireni sažetak, znanstveni)
Perak, B. (2017) Developing a complex system model for research and representation of Commemoration Speeches in Croatia using a graph property database. U: Digital Humanities: Empowering Visibility of Croatian Cultural Heritage.
@article{article, author = {Perak, Benedikt}, year = {2017}, pages = {20-22}, keywords = {Cultural memory, commemoration, text analysis, monument representation, social ontology, complex system, graph database}, title = {Developing a complex system model for research and representation of Commemoration Speeches in Croatia using a graph property database}, keyword = {Cultural memory, commemoration, text analysis, monument representation, social ontology, complex system, graph database}, publisherplace = {Zadar, Hrvatska} }
@article{article, author = {Perak, Benedikt}, year = {2017}, pages = {20-22}, keywords = {Cultural memory, commemoration, text analysis, monument representation, social ontology, complex system, graph database}, title = {Developing a complex system model for research and representation of Commemoration Speeches in Croatia using a graph property database}, keyword = {Cultural memory, commemoration, text analysis, monument representation, social ontology, complex system, graph database}, publisherplace = {Zadar, Hrvatska} }




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