Abraham Bernstein
James Hendler
Abstract
Seeking to make Web data "smarter" by utilizing a new kind of semantics.
- Berners-Lee, T., Hendler, J., and Lassila, O. The Semantic Web. Scientific American 284, (2001), 34--43: DOI:10.1038/scientificamerican0501-34.Google Scholar
Cross Ref
- Bizer, C., Heath, T., and Berners-Lee, T. Linked data---The story so far. International Journal on Semantic Web and Information Systems, 5, (2009), 1--22. DOI:10.4018/jswis.2009081901.Google ScholarCross Ref
- Ferrucci, D. et al. Building Watson: An overview of the DeepQA Project. AI Magazine 31, 3 (2010), 59--79; DOI: 10.1609/aimag.v31i3.2303.Google ScholarDigital Library
- Horrocks, I., Patel-Schneider, P., and van Harmelen, F. From SHIQ and RDF to OWL: The making of a Web ontology language. Journal of Web Semantics 1, (2003), 7--26.Google ScholarCross Ref
- Meusel, R., Petrovski, P., and Bizer, C. The WebDataCommons Microdata, RDFa and Microformat Dataset Series. In P. Mika et al., Eds. The Semantic Web--- ISWC 2014 SE-18 (Vol. 8796, 2014), Springer International Publishing, 277--292; DOI: 10.1007/978-3-319-11964-9_18. Google ScholarDigital Library
- Tudorache, T., Nyulas, C., Noy, N., and Musen, M. Using Semantic Web in ICD-11: Three Years Down the Road. In H. Alani, et al., Eds. The Semantic Web -- ISWC 2013 SE -13 (Vol. 8219, 2013); Springer Berlin Heidelberg, 195--211; DOI: 10.1007/978-3-642-41338-4_13 Google ScholarDigital Library
Index Terms
- A new look at the semantic web
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Reviews
Amos O Olagunju
The numerous demands for prevalent web advertisements and documents call for new smart information dissemination systems. Emerging and future intelligent web systems ought to reflect the current, new, and evolving products at competing websites. But how should alternative websites collaborate and share advertisement information as they compete for customers in online marketing Bernstein et al., in this noteworthy viewpoint, offer insightful ideas on how software agents at websites might share the formats and meaning of available resources, to help make web data "smarter." The authors present some of the best semantic web practices used by business organizations and industries. Indeed, all web pages should be consistently using the standard web markup format to define web content and vocabulary, in efforts to make meaningful information from a variety of websites globally available. The native support of web languages by alternative database management systems should be accessible to help promote the reliable sharing of web content. This concise article incredibly chronicles the ongoing transitional challenges of various semantic web research activities. Clearly, scientists, industries, and governments are making more data available on the web using semantically annotated concepts. However, how should the information available from several websites be used to improve the lives of individuals and society The need exists to develop and implement algorithms that integrate dynamic mathematical models into machine learning algorithms, to help cope with real-world data originating from heterogeneous web sources and devices. The authors clearly illustrate and promote the benefits of the standardized semantic web. However, computational scientists ought to be engaged in finding new solutions to the nationwide and indirect security questions posed in this article. Clearly, a nation might know the current sources of web attacks on its democracy, but do nations know the intents and impacts of web security attacks on their political and economic systems I strongly encourage all scientists from the humanities and science, technology, engineering and mathematics (STEM) fields to read this paper and discuss how we might enlighten all societies about the safety of information on websites. Online Computing Reviews Service
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