Key research themes
1. How can semantic and co-author network features improve automated author name disambiguation in large bibliographic databases?
This research theme investigates computational methods, especially machine learning and deep learning techniques, to resolve ambiguities in author names by leveraging semantic representations of publication metadata and co-authorship relationships. Addressing the challenges of homonymy and synonymy in author names is critical for the accuracy of digital libraries, bibliometric studies, and academic information retrieval. The use of neural network models combining textual semantic embeddings with co-author network information offers promising approaches to link ambiguous author names to their respective real-world individuals in large-scale datasets such as DBLP.
2. What socio-cultural and linguistic factors influence personal naming conventions and their implications for identity across diverse societies?
Personal naming practices reflect and construct social identities including ethnicity, gender, religion, social class, and cultural affiliation. This theme encompasses investigations into the semantic, sociolinguistic, and historical analyses of naming conventions from various global contexts, highlighting naming as a dynamic mediator of identity, social roles, and cultural continuity or change. Research in this area also addresses the perception of names, the social meanings encoded within names, and the impact of naming on experiences of discrimination or inclusion.
3. How do personal names function ontologically and symbolically in individual identity and social memory across cultural and historical contexts?
This theme investigates the philosophical, anthropological, and cultural significance of personal names, focusing on their role in constituting personal identity, mediating social recognition, and connecting individuals to historical lineage or collective memory. Studies explore how names embody power dynamics, spiritual beliefs, and legal or bureaucratic realities, and how naming intersections with societal structures impact self-perception and interpersonal relations.