Abstract: 【Purpose/significance】The integration of knowledge from multiple disciplines is the basis for the formation and development
of interdisciplinary fields. Understanding the knowledge integration process of the interdisciplinary field is helpful for knowledge dis?
covery and knowledge creation in the field.【Method/process】In this study, we apply natural language processing technology to extract knowledge phrases from the metadata, citation context, and reference text of an interdisciplinary field. Then, we take the citation rela? tions and phrase matching relations as clues to identify knowledge absorbed and internalized in the field, and reveal the "knowledge absorption-knowledge internalization" process of the field.【Result/conclusion】Taking the eHealth field as an exemplar interdisciplin? ary field to conduct a case study, the results reveal the general characteristics of knowledge internalization in the field and the differ? ences in characteristics of internalized knowledge provided by different source disciplines.【Innovation/limitation】The process of inter? nalization of cross domain knowledge is quantitatively analyzed by combining with citation content, which contributes a novel method of full-text quantitative analysis. The proposed methodology provided new insights into the knowledge formation of an interdisciplinary field. Future studies can use the full text of references to further optimize this method, and carry out empirical research on more inter? disciplinary fields