Server-side automatic metadata generation using qualified Dublin Core and RDF

Jenkins, Charlotte; Inman, David R.

doi:10.1109/dlrp.2000.942183

Cited by 11 publications

(2 citation statements)

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“…As can be seen, conference papers dominate the list, accounting for more than 60% of all publications selected. This is unsurprising, given that conference papers represent researchers' most recent accomplishments and indicate emerging research trends and the immediacy of personalized peer feedback [68]. As represented by journal articles, peer-reviewed literature is second on the list.…”

Section: Analysis Of Descriptive Resultsmentioning

confidence: 99%

Charting Past, Present, and Future Research in the Semantic Web and Interoperability

Rejeb

Keogh²,

Martindale

et al. 2022

Future Internet

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Huge advances in peer-to-peer systems and attempts to develop the semantic web have revealed a critical issue in information systems across multiple domains: the absence of semantic interoperability. Today, businesses operating in a digital environment require increased supply-chain automation, interoperability, and data governance. While research on the semantic web and interoperability has recently received much attention, a dearth of studies investigates the relationship between these two concepts in depth. To address this knowledge gap, the objective of this study is to conduct a review and bibliometric analysis of 3511 Scopus-registered papers on the semantic web and interoperability published over the past two decades. In addition, the publications were analyzed using a variety of bibliometric indicators, such as publication year, journal, authors, countries, and institutions. Keyword co-occurrence and co-citation networks were utilized to identify the primary research hotspots and group the relevant literature. The findings of the review and bibliometric analysis indicate the dominance of conference papers as a means of disseminating knowledge and the substantial contribution of developed nations to the semantic web field. In addition, the keyword co-occurrence network analysis reveals a significant emphasis on semantic web languages, sensors and computing, graphs and models, and linking and integration techniques. Based on the co-citation clustering, the Internet of Things, semantic web services, ontology mapping, building information modeling, bioinformatics, education and e-learning, and semantic web languages were identified as the primary themes contributing to the flow of knowledge and the growth of the semantic web and interoperability field. Overall, this review substantially contributes to the literature and increases scholars’ and practitioners’ awareness of the current knowledge composition and future research directions of the semantic web field.

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Section: Analysis Of Descriptive Resultsmentioning

confidence: 99%

Charting Past, Present, and Future Research in the Semantic Web and Interoperability

Rejeb

Keogh²,

Martindale

et al. 2022

Future Internet

View full text Add to dashboard Cite

show abstract

“…This approach uses a content presentation application to retrieve only the intellectual content of the document, creating a plain text data source upon which rules based on natural language are executed [36,37,38,39,40,41]. Such algorithms commonly include collection of unique words and comparisons of the document vocabulary against reference ontology for generating keywords, descriptions and subject classification.…”

Section: The Ieee Lom and Scorm Standardsmentioning

confidence: 99%

Using automatic metadata generation to reduce the knowledge and time requirements for making SCORM learning objects

Edvardsen

Sølvberg

Aalberg

et al. 2009

2009 3rd IEEE International Conference on Digital Ecosystems and Technologies

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The Internet is packed with resources which can be used for educational purposes, referred to as Learning Objects (LOs). Locating the LO which is best suited for your educational purposes can be extremely challenging. This since the context surrounding the LO in regards to intended user group, educational level etc. are not included in the resource. The SCORM standard has changed this by including contextual metadata as part of the resource. However, SCORM LOs are scarcely created, much as a result of high knowledge and time requirements needed for creating the necessary metadata. This research has been using Automatic Metadata Generation tools to assist in the metadata creation process, enabling LOs to share common contextual metadata while receiving additional high quality LO specific metadata without the need for manual metadata creation efforts.

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An Architecture for Automatic Reference Linking

Bergmark

Lagoze

2001

Research and Advanced Technology for Digital Libraries

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Server-side automatic metadata generation using qualified Dublin Core and RDF

Cited by 11 publications

References 0 publications

Charting Past, Present, and Future Research in the Semantic Web and Interoperability

Charting Past, Present, and Future Research in the Semantic Web and Interoperability

Using automatic metadata generation to reduce the knowledge and time requirements for making SCORM learning objects

An Architecture for Automatic Reference Linking

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