Semantic web tools and techniques for knowledge organization: An overview
Knowledge Organization, ISSN: 0943-7444, Vol: 44, Issue: 4, Page: 273-290
2017
- 10Citations
- 3Usage
- 33Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations10
- Citation Indexes9
- CrossRef6
- Policy Citations1
- 1
- Usage3
- Abstract Views3
- Captures33
- Readers33
- 33
Article Description
The enormous amount of information generated every day and spread across the web is diversified in nature far beyond human consumption. To overcome this difficulty, the transformation of current unstructured information into a structured form called a "Semantic Web" was proposed by Tim Berners-Lee in 1989 to enable computers to understand and interpret the information they store. The aim of the semantic web is the integration of heterogeneous and distributed data spread across the web for knowledge discovery. The core of sematic web technologies includes knowledge representation languages RDF and OWL, ontology editors and reasoning tools, and ontology query languages such as SPARQL have also been discussed.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85027469345&origin=inward; http://dx.doi.org/10.5771/0943-7444-2017-4-273; https://www.imrpress.com/journal/KO/44/4/10.5771/0943-7444-2017-4-273; https://digitalcommons.isical.ac.in/journal-articles/2753; https://digitalcommons.isical.ac.in/cgi/viewcontent.cgi?article=4512&context=journal-articles; https://dx.doi.org/10.5771/0943-7444-2017-4-273; https://www.nomos-elibrary.de/10.5771/0943-7444-2017-4-273/semantic-web-tools-and-techniques-for-knowledge-organization-an-overview-jahrgang-44-2017-heft-4?page=1
IMR Press
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