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Semantic Web

About: Semantic Web is a research topic. Over the lifetime, 26987 publications have been published within this topic receiving 534275 citations. The topic is also known as: Sem Web & SemWeb.


Papers
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Journal ArticleDOI
TL;DR: The general requirements of an event model for web data are discussed and examples from two use cases are given: historic events and events in the maritime safety and security domain.

305 citations

Journal ArticleDOI
TL;DR: The OWLS-MX as discussed by the authors is a hybrid Semantic Web service matchmaker for OWL-S services, which complements logic-based semantic matching with token-based syntactic similarity measurements in case the former fails.

302 citations

01 Jan 2006
TL;DR: This paper presents some examples of ontology applications throughout the Software Engineering lifecycle and discusses the advantages of ontologies in each case and provides a framework for classifying the usage of ontological applications in Software Engineering.
Abstract: The emerging field of semantic web technologies promises new stimulus for Software Engineering research. However, since the underlying concepts of the semantic web have a long tradition in the knowledge engineering field, it is sometimes hard for software engineers to overlook the variety of ontology-enabled approaches to Software Engineering. In this paper we therefore present some examples of ontology applications throughout the Software Engineering lifecycle. We discuss the advantages of ontologies in each case and provide a framework for classifying the usage of ontologies in Software Engineering.

301 citations

Journal ArticleDOI
TL;DR: This paper proposes UP for ONtology (UPON) building, a methodology for ontology building derived from the UP, and a comparative evaluation with other methodologies and the results of its adoption in the context of the Athena EU Integrated Project are discussed.

300 citations

Proceedings ArticleDOI
23 May 2006
TL;DR: This technique takes advantage of the detailed semantics captured within an OWL ontology to produce highly relevant segments from large description logic ontologies for the purposes of increasing tractability for both humans and computers.
Abstract: Ontologies are at the heart of the semantic web. They define the concepts and relationships that make global interoperability possible. However, as these ontologies grow in size they become more and more difficult to create, use, understand, maintain, transform and classify. We present and evaluate several algorithms for extracting relevant segments out of large description logic ontologies for the purposes of increasing tractability for both humans and computers. The segments are not mere fragments, but stand alone as ontologies in their own right. This technique takes advantage of the detailed semantics captured within an OWL ontology to produce highly relevant segments. The research was evaluated using the GALEN ontology of medical terms and procedures.

300 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023116
2022348
2021412
2020612
2019782
2018881