Abstract Panel


Authors Information
SequenceTypeName TitleFirst NameLast NameDepartmentInstitute / Affiliation
1 Author Dr. Michael Fischer Human Relations Area Files Yale University
2 Author Dr. Shridhar Ravula Human Relations Area Files Yale University
3 Author Dr. Francine Barone Human Relations Area Files Yale University
Abstract Information
TrackID
:
IUAES23_ABS_M6737
Abstract Theme
:
P099 - Theory of Kinship as Theory of Anthropology
Abstract Title
:
Unravelling Theories in Ethnography: Data Science in the HRAF Collection of Ethnography
Short Abstract
:
Ethnography is the primary vehicle for the transmission of anthropological data, knowledge and theory. Details in tables, diagrams and lists appear, but the  main form of ethnography is ethnographers’ attempts to describe in natural languages critical events, processes and relationships. Our paper relates the application of Natural Language Processing and Data Science to interrogate ethnography based, in part, on innovations from Kinship theory developed by Dwight Read and colleagues.
Long Abstract
:

Our paper relates the application of Natural Language Processing and Data Science to interrogate ethnography based, in part, on innovations from Kinship Theory developed by Dwight Read and colleagues.

iKLEWS (Infrastructure for Knowledge Linkages from Ethnography of World Societies) is a HRAF project funded by the National Science Foundation.  iKLEWS developed semantic infrastructure and associated services for a growing textual database (eHRAF World Cultures) of ethnography.  Semantic and data mining infrastructure developed under iKLEWS assists in identifying diverse, universal and cross-cultural aspects of a wide range of user selected topics, such as social emotion and empathy, economics, politics, use of space and time, morality, or music and songs.

Critically, iKLEWS is concerned with understanding ethnography as ethnographic theory, identifying data, knowledge and circumstances underlying  the wide array of means by which ethnographers use textual exposition to relate what they understood to be important information about people.

In this paper we relate how the principles underlying the generation and representation of kinship terminologies, as developed by Dwight Read and his colleagues over the past 40 years, can be applied to pan-corpus semantic relations as produced by numerous ethnographers in numerous ethnographies.   For kinship terminologies this approach has demonstrated that terminologies can be represented algebraically based on a subset of the terminology, which can then generate the entire terminology from the algebra derived from this partial accounting.

We are applying this approach to analysis of semantic graphs, ranging from sentential level dependency graphs to pan-corpus hypergraphs of semantically related terms that reflect the composite product of ethnographer judgements on language use in describing various topics.   While we will utilise these structures in examining the depiction of kinship related instances in the text, we are interested in broader patterns of semantic relations, and comparing differences in these between ethnographers.

Abstract Keywords
:
ethnography, ethnographic theory, kinship, kinship theory, data science, HRAF