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International Journal of Metadata Semantics and Ontologies is a peer-reviewed journal published by Inderscience, covering Semantic Web and Ontologies, Service-Oriented Architecture and Web Services, Advanced Database Systems and Queries.
| Publisher | Inderscience |
|---|---|
| Reference style | Author–year (Harvard/AGSM) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', International Journal of Metadata Semantics and Ontologies, 12(3), pp. 45–58.
Formats any DOI in International Journal of Metadata Semantics and Ontologies style. No sign-up. |
| Publishes research in | Semantic Web and Ontologies Service-Oriented Architecture and Web Services Advanced Database Systems and Queries Natural Language Processing Techniques Biomedical Text Mining and Ontologies |
| ISSN | 1744-2621 |
| Citation impact (2-yr) | 0.17 |
| h-index | 23 |
| i10-index | 73 |
| Total citations | 3,227 |
| Top institutions publishing here | Centre National de la Recherche Scientifique |
| Journal website | www.inderscience.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Developers of Semantic Web applications face a challenge with respect to the decentralised publication model: how and where to find statements about encountered resources. The “linked data” approach mandates that resource URIs should be de-referenced to return resource metadata. But for data discovery linkage itself is not enough, and crawling and indexing of data is…
\n A broad range of approaches to semantic document retrieval has been\n developed in the context of the Semantic Web. This survey builds\n bridges among them. We introduce a classification scheme for\n semantic search engines and clarify terminology. We present an\n overview of ten selected approaches and compare them by means of our\n classification criteria.…
This paper brings together research from two different fields – user modelling and web ontologies – in attempt to demonstrate how recent semantic trends in web development can be combined with the modern technologies of user modelling. Over the last several years, a number of user-adaptive systems have been exploiting ontologies for the purposes of…
Metadata is used to describe documents and applications, improving information seeking and retrieval and its understanding and use. Metadata can be expressed in a wide variety of vocabularies and languages, and can be created and maintained with a variety of tools. Ontology based annotation refers to the process of creating metadata using ontologies as their…
This paper reports on the automatic metadata generation applications (AMeGA) project's metadata expert survey. Automatic metadata generation research is reviewed and the study's methods, key findings and conclusions are presented. Participants anticipate greater accuracy with automatic techniques for technical metadata (e.g., ID, language, and format metadata) compared to metadata requiring intellectual discretion (e.g., subject and…
