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https://dx.doi.org/10.4230/dag...
Article . 2005
License: CC BY
Data sources: Datacite
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From Semantic Search & Integration to Analytics

Authors: Sheth, Amit;

From Semantic Search & Integration to Analytics

Abstract

Semantics is seen as the key ingredient in the next phase of the Web infrastructure as well as the next generation of enterprise content management. Ontology is the centerpiece of the most prevalent semantic technologies and provides the basis of representing, acquiring, and utilizing knowledge. With the availability of several commercial products and many research tools, specifications and increasing adoption of Semantic Web standards such as RDF for metadata and OWL for ontology representation, ontology-driven techniques and systems have already enabled a new generation of industry strength semantic applications. In particular, Semagix’s Freedom has powered applications in leading verticals such as, financial services, government & intelligence, pharmaceuticals, and media & entertainment. In this paper, we portray some of the requirements of high-end enterprise applications requiring search to integration, and more advanced analytical capabilities, discuss the enterprise scale capabilities expected of a semantic technology, and how Semagix has put an ontology-driven approach to use.

Countries
United States, Germany
Keywords

Databases and Information Systems, Bioinformatics, Computer Sciences, Ontology, Communication, OS and Networks, Life Sciences, Electrical and Computer Engineering, Social and Behavioral Sciences, Semantic Integration, Science and Technology Studies, web, 004, Semantic Analytics, Web infrastructure, Communication Technology and New Media, Physical Sciences and Mathematics, semantic, Computer Engineering, Semantic Search, ddc: ddc:004

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green