Results 11 to 20 of about 2,246,774 (115)

Ontology Learning for the Semantic Web

open access: yesIEEE Intelligent Systems, 2002
The Semantic Web relies heavily on formal ontologies to structure data for comprehensive and transportable machine understanding. Thus, the proliferation of ontologies factors largely in the Semantic Web's success.
A. Maedche, Steffen Staab
semanticscholar   +1 more source

Semantic Web for the Legal Domain: The next step

open access: yesSemantic Web, 2016
Ontology-driven systems with reasoning capabilities in the legal field are now better understood. Legal concepts are not discrete, but make up a dynamic continuum between common sense terms, specific technical use, and professional knowledge, in an ...
Pompeu Casanovas   +4 more
semanticscholar   +1 more source

Ontologies and Semantic Web for the Internet of Things - a survey

open access: yesAnnual Conference of the IEEE Industrial Electronics Society, 2016
The reality of Internet of Things (IoT), with its growing number of devices and their diversity is challenging current approaches and technologies for a smarter integration of their data, applications and services.
I. Szilagyi, P. Wira
semanticscholar   +1 more source

Linked Open Vocabularies (LOV): A gateway to reusable semantic vocabularies on the Web

open access: yesSemantic Web, 2016
One of the major barriers to the deployment of Linked Data is the difficulty that data publishers have in determining which vocabularies to use to describe the semantics of data. This system report describes Linked Open Vocabularies (LOV), a high quality
P. Vandenbussche   +3 more
semanticscholar   +1 more source

Natural Language Processing for the Semantic Web

open access: yesSynthesis Lectures on the Semantic Web Theory and Technology, 2016
This book introduces core natural language processing (NLP) technologies to non-experts in an easily accessible way, as a series of building blocks that lead the user to understand key technologies, why they are required, and how to integrate them into ...
D. Maynard   +2 more
semanticscholar   +1 more source

A Machine Learning Based Analytical Framework for Semantic Annotation Requirements [PDF]

open access: yesInternational Journal of Web & Semantic Technology (IJWesT), Vol. 2, No. 2, pp. 27-38, Aprill 2011, 2011
The Semantic Web is an extension of the current web in which information is given well-defined meaning. The perspective of Semantic Web is to promote the quality and intelligence of the current web by changing its contents into machine understandable form. Therefore, semantic level information is one of the cornerstones of the Semantic Web. The process
arxiv   +1 more source

Using Semantic Web Technologies for Exploratory OLAP: A Survey

open access: yesIEEE Transactions on Knowledge and Data Engineering, 2015
This paper describes the convergence of some of the most influential technologies in the last few years, namely data warehousing (DW), on-line analytical processing (OLAP), and the Semantic Web (SW).
A. Abelló   +6 more
semanticscholar   +1 more source

Web to Semantic Web & Role of Ontology [PDF]

open access: yesarXiv, 2010
In this research paper we are briefly presenting current major web problems and introducing semantic web technologies with the claim of solving existing web's problems. Furthermore we are describing Ontology as the main building block of semantic web and focusing on its contributions to semantic web progress and current limitations.
arxiv  

Semantic Web Search Engine

open access: yes, 2015
In this report, we discuss the architecture and implementation of the Semantic Web Search Engine (SWSE). Following traditional search engine architecture, SWSE consists of crawling, data enhancing, indexing and a user interface for search, browsing and ...
Aidan Hogan   +5 more
semanticscholar   +1 more source

Engineering Semantic Web Applications by Using Object-Oriented Paradigm [PDF]

open access: yesJournal of Computing, Vol. 2, No. 6, June 2010, NY, USA, ISSN 2151-9617, 2010
The web information resources are growing explosively in number and volume. Now to retrieve relevant data from web has become very difficult and time-consuming. Semantic Web envisions that these web resources should be developed in machine-processable way in order to handle irrelevancy and manual processing problems.
arxiv  

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