Text mining and semantic triples: Spatial analyses of text in applied humanitarian forensic research

Miranker, Molly; Giordano, Alberto

doi:10.1016/j.diggeo.2020.100005

Cited by 11 publications

(6 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At the application level, QSR has been used to analyze 16th-century Mexican maps [25] to model intricate and diverse spatial information, encompassing both social and symbolic aspects portrayed in the maps. Another work [24] employs a similar approach in combination with corpus linguistics and NLP for humanitarian forensic research to analyze social and media reports from official sources and gain insights into the migrants' deaths. A notable study by Kordjamshidi et al [20] introduces a method for mapping natural language to formal spatial representation.…”

Section: Related Workmentioning

confidence: 99%

Towards an Extensible Framework for Understanding Spatial Narratives

Ezeani,

Rayson,

Gregory

et al. 2023

Proceedings of the 7th ACM SIGSPATIAL International Workshop on Geospatial Humanities

View full text Add to dashboard Cite

Spatial narratives help us to organize experiences and give them meaning. Previous approaches to understanding geographies in textual sources focus on geoparsing to automatically identify place names and allocate them to coordinates. Those are highly quantitative, and are limited to named places with coordinates, and have little concept of time. Narratives of journeys indicate that human experiences of geography are often subjective and more suited to qualitative representation. Geography is not limited to named places but incorporates the vague, imprecise, and ambiguous, e.g "the camp", or "the hills in the distance", and relative locations such as "near to", "on the left", "north of" or "a few hours' journey from". Places are organized worlds of meaning, characterized by experience, emotion, and memory as well as by geography. In this paper, we discuss our approach to gaining more insight from textual data beyond the toponyms and introduce an extensible framework for extracting, analyzing, and visualizing spatial elements that define the 'locale' as well as the 'sense of place' referenced in text using two test corpora -the Corpus of the Lake District Writing and Holocaust Survivors' Testimonies. CCS CONCEPTS• Information systems → Geographic information systems; Presentation of retrieval results; • General and reference → Experimentation; • Human-centered computing → Collaborative and social computing systems and tools.

show abstract

Section: Related Workmentioning

confidence: 99%

Towards an Extensible Framework for Understanding Spatial Narratives

Ezeani,

Rayson,

Gregory

et al. 2023

Proceedings of the 7th ACM SIGSPATIAL International Workshop on Geospatial Humanities

View full text Add to dashboard Cite

show abstract

“…In studying the narratives of commemoration, geographers have borrowed theories and methods from linguistics [22,23], including corpus linguistics (CL), a technique which uses digital methods to analyze and interpret "big data" of text [24][25][26]. Narratology, the art of temporally sequencing events, has also had a crucial impact on commemorative storytelling and its geographic implication.…”

Section: Introductionmentioning

confidence: 99%

The Texas Historical Markers Program: Racial and Ethnic Narratives

Choi,

Giordano

2023

Geographies

Self Cite

View full text Add to dashboard Cite

In this article we explore the text of the over 16,000 historical markers erected in the state since 1936, using GIS and corpus linguistics to determine the where, how, what, and when of how Texas memorializes its racial and ethnic groups. Unsurprisingly, our results indicate that the story of Texas is implicitly a narrative of white people. More interestingly, the term “African (Americans)” begins to be commemorated especially after the 1990s, but only in stories of community, religion, school, and children, as Texas historical markers do not to dwell on narratives of slavery, the civil rights movement, and lynchings. “Indians” and “Mexicans” in the 1930s and 1960s exemplify the most egregious case of derogatory semantics we found in the markers. As concerns racial and ethnic groups, in general they tend to be memorialized where they were historically present, whether or not such groups are still there. The analysis also reveals the increasing concentration of the markers in urban areas.

show abstract

“…While the theoretical confines of a GIS of place are quite well defined, much less progress and consensus have been made and reached concerning how to actually build a GIS of place. We believe the toolbox for a GIS of place must include the ability of representing and analyzing qualitative spatial relationships as well as exploring narratives and other qualitative, textual materials (Giordano & Cole, 2018; Miranker & Giordano, 2020; Murieta‐Flores, Donaldson, & Gregory, 2017). Tools, methods, and approaches developed to do this include qualitative spatial reasoning (QSR)—a language for formalizing and analyzing qualitative spatial relationships, with origins in computer science and GIScience—and corpus linguistics (CL) and natural language processing (NLP)—big data techniques that originate in linguistics and computer science.…”

Section: Introductionmentioning

confidence: 99%

“…QSR, CL, and NLP have been used in digital humanities and spatial humanities projects (Bailey Kellog & Zhao, 2004; Cohn & Hazarika, 2001), including Holocaust Studies (Cole & Hahmann, 2019; Knowles, Jaskot, Cole, & Giordano, 2021). Taken together, they provide a framework for searching for key terms or themes throughout multiple textual sources, narratives, and testimonies, highlighting and visualizing the presence of spatial relationships that are not necessarily mappable in Cartesian coordinate space and in a traditional GIS setting (Knowles, Cole, & Giordano, 2014; Miranker & Giordano, 2020; Pavlovskaya, 2018). In addition to QSR and CL, a third technique is posited to play a fundamental role in the future toolbox of the GIS of place: social networks analysis, or to be more specific, spatial social networks analysis, the focus of this article.…”

Section: Introductionmentioning

confidence: 99%

Spatial social networks for the humanities: A visualization and analytical model

Giordano

Cole

Noc

2022

Transactions in GIS

Self Cite

View full text Add to dashboard Cite

In this article, we propose a model to identify the spatial and structural characteristics of a specific type of social networks: the family. The model is the third (Giordano & Cole, 2018, 2019-and the most fully realized-in a series we have developed in the last four years as part of our work on the topic of platial GIS, or the GIS of place. The model is both a visualization of a spatial social network and an analytical tool and it is also replicable and adaptable to projects in which the dataset Dunder study includes temporal and spatial information as well as demographic data. The case study we discuss in this article concerns the immediate post-Holocaust period in Budapest: in the summer of 1945, the Hungarian Section of the World Jewish Congress-American Joint Distribution Committee and the Jewish Agency for Palestine Statistical and Search Department (World Jewish Congress in brief) commissioned a door-to-door survey to determine where Jewish survivors were living in the city, which at the time was the largest single urban concentration of Jews in post-war Europe. The information collected in the survey

show abstract

Text mining and semantic triples: Spatial analyses of text in applied humanitarian forensic research

Cited by 11 publications

References 37 publications

Towards an Extensible Framework for Understanding Spatial Narratives

Towards an Extensible Framework for Understanding Spatial Narratives

The Texas Historical Markers Program: Racial and Ethnic Narratives

Spatial social networks for the humanities: A visualization and analytical model

Contact Info

Product

Resources

About