Aim & Scope

Aim

Language, Knowledge and Intelligent Systems provides a peer-reviewed venue for language, knowledge, and intelligent systems. The journal is intended for NLP researchers, knowledge engineers, computational linguists, and information-systems scholars. Its editorial goal is to publish articles that make the research question, method, evidence, and limitations visible enough for readers to evaluate and reuse.

Core Scope

The journal considers manuscripts in the following areas:

  • Original studies in language technologies with transparent assumptions and evaluable evidence.
  • Research on knowledge representation that explains methods, data, and interpretation limits.
  • Applied work involving information extraction where practical relevance is supported by analysis rather than assertion.
  • Interdisciplinary work connecting semantic systems to adjacent scientific, engineering, health, environmental, social, or policy questions.

Article Types Considered

The journal may consider NLP studies, knowledge-base papers, resource articles, evaluation reports, linguistic analyses, and reviews. Article type should be selected according to the main contribution, not according to desired length or perceived prestige.

Method and Evidence Expectations

For this field, manuscripts should pay particular attention to:

  • corpus design
  • annotation quality
  • language coverage
  • knowledge representation
  • evaluation validity

Out of Scope

The journal does not consider manuscripts that are purely promotional, lack a research question, duplicate previously published work, make unsupported clinical or policy claims, present unverifiable results, or fall outside language, knowledge, and intelligent systems. Manuscripts that are technically sound but do not fit the journal's subject identity may be returned before peer review.

Editorial Standard

The journal does not require spectacular novelty. It requires a clear contribution, appropriate citations, transparent methods, relevant ethical approvals where needed, and a limitations section. Reviewers and editors should ask whether the work is trustworthy and useful for its intended readership.