Isimlemedir

Isimlemedir is a term used primarily in Turkish linguistic and information science literature to describe a methodological approach that treats naming (isim) and labeling as data points to be measured and analyzed. It emphasizes how names serve not only as identifiers but also as carriers of semantic, cultural, and organizational information. In practice, isimlemedir supports the systematic study of naming conventions within ontologies, metadata schemas, and language resources.

Origins and scope: The term is a neologism that emerged among scholars working on Turkish natural language processing and digital humanities in the 2010s and 2020s. It is used to frame analyses of how names are constructed, standardized, translated, or mapped across systems, and how such processes influence data interoperability.

Methodology: Core activities include defining a naming schema, collecting naming data, annotating datasets with name labels, and computing metrics such as consistency, coverage, ambiguity rate, and stability of names under changes. The approach also considers sociolinguistic factors, such as dialectal variation and cultural sensitivity.

Applications and impact: isimlemedir informs metadata standards, knowledge graphs, cataloging practices, and multilingual resource alignment. It supports quality control in labeling and helps reveal biases in name-based systems.

Limitations and critique: Critics point to the risks of overemphasizing naming as a measurable object, potentially obscuring meaning, power relations, and context. Effective use requires governance, transparent criteria, and collaboration with affected communities.