The DOI matches its Crossref record.
INFORMATION CONCEPTS FOR INFORMATION SCIENCE
Abstract
Information science, or informatics, has almost from its beginnings been characterized by a seemingly inordinate self‐consciousness, exemplified by concern with its status vis‐à‐vis other disciplines, with its status as a science, and with the significance of its objects of investigation and the goals of that investigation. The bibliography by Port, and the survey by Wellisch, of definitions of information science, and the historical survey by Harmon, all give substantial evidence of this self‐consciousness. Some aspects of this attitude are of course due to the social and political problems facing any new discipline (or field of investigation aspiring to such status), such as indifference or hostility from the established academic community, the fight for a share of limited research and development funds, the inferiority complex associated with having no well‐defined methods of investigation in a social situation which requires them for acceptance, and so on. Other aspects of this self‐consciousness may, however, be more related to strictly internal, ‘scientific’ concerns; that is, to problems within the theoretical structure of information science which must be solved in order for substantial progress in solving its practical problems to be made. This review surveys contributions to one such problem: the question of a suitable concept of information for information science.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
A BEHAVIOURAL APPROACH TO INFORMATION RETRIEVAL SYSTEM DESIGN
ELLIS, D. (1989) · Journal of Documentation · doi:10.1108/eb026843 · Cited by 962
COGNITIVE PERSPECTIVES OF INFORMATION RETRIEVAL INTERACTION: ELEMENTS OF A COGNITIVE IR THEORY
INGWERSEN, P. (1996) · Journal of Documentation · doi:10.1108/eb026960 · Cited by 717
Metadata
- Authors
- BELKIN, N. J.
- Venue
- Journal of Documentation
- Publisher
- Emerald
- Published
- 1978-01-01
- Volume
- 34
- Issue
- 1
- Pages
- 55-85
- ISSN
- 0022-0418 (ISSN-L)
- OpenAlex
- W2037646798
- Cited by
- 321
- References
- 0
- FWCI
- 19.36
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: INFORMATION CONCEPTS FOR INFORMATION SCIENCE. https://app.cochat.ai/papers/10.1108/eb026653
- The paper
- BELKIN, N. J. (1978). INFORMATION CONCEPTS FOR INFORMATION SCIENCE. Journal of Documentation. https://doi.org/10.1108/eb026653
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.