scholarly journals Applying Optimal Stopping for Optimizing Queries to External Semantic Web Resources

2009 ◽  
pp. 105-118 ◽  
Author(s):  
Albert Weichselbraun
Keyword(s):  
Semantic Web ◽  
Optimal Stopping ◽  
Web Resources

Towards a Semantic Web of Evidence-Based Medical Information

2011 ◽  
pp. 254-273
Author(s):  
Rolf Grutter ◽  
Claus Eikemeier ◽  
Johann Steurer
Keyword(s):  
Semantic Web ◽  
Medical Information ◽  
Uniform Resource Identifier ◽  
Simple Method ◽  
Web Resources ◽  
Web Of Data ◽  
Description Framework ◽  
Object Models ◽  
Application Specific ◽  
Resource Description

It is the vision of the protagonists of the Semantic Web to achieve “a set of connected applications for data on the Web in such a way as to form a consistent logical Web of data” (Berners-Lee, 1998, p. 1). Therefore, the Semantic Web approach develops languages for expressing information in a machine-processable form (“machine-understandable” in terms of the Semantic Web community). Particularly, the Resource Description Framework, RDF (Lassila & Swick, 1999), and RDF Schema, RDFS (Brickley & Guha, 2000), are considered as the foundations for the implementation of the Semantic Web. RDF provides a data model and a serialization language; RDFS a distinguished vocabulary to model class and property hierarchies and other basic schema primitives that can be referred to from RDF models, thereby allowing for the modeling of object models with cleanly defined semantics. The idea behind this approach is to provide a common minimal framework for the description of Web resources while allowing for application-specific extensions (Berners-Lee, 1998). Such extensions in terms of additional classes and/or properties must be documented in an application-specific schema. Application-specific schemata can be integrated into RDFS by the namespace mechanism (Bray, Hollander & Layman, 1999). Namespaces provide a simple method for qualifying element and attribute names used in RDF documents by associating them with namespaces identified by URI (Uniform Resource Identifier) references (Berners-Lee, Fielding, Irvine & Masinter, 1998).

A WIKIPEDIA-BASED FRAMEWORK FOR COLLABORATIVE SEMANTIC ANNOTATION

2011 ◽  
Vol 20 (05) ◽  
pp. 847-886 ◽  
Author(s):  
N. FERNÁNDEZ ◽  
J. A. FISTEUS ◽  
D. FUENTES ◽  
L. SÁNCHEZ ◽  
V. LUQUE
Keyword(s):  
Semantic Web ◽  
Data Processing ◽  
Web Search ◽  
Semantic Annotation ◽  
Formal Ontology ◽  
Manual Annotation ◽  
Annotation Task ◽  
Web Resources ◽  
User Actions ◽  
Common User

The semantic web aims at automating web data processing tasks that nowadays only humans are able to do. To make this vision a reality, the information on web resources should be described in a computer-meaningful way, in a process known as semantic annotation. In this paper, a manual, collaborative semantic annotation framework is described. It is designed to take advantage of the benefits of manual annotation systems (like the possibility of annotating formats difficult to annotate in an automatic manner) addressing at the same time some of their limitations (reduce the burden for non-expert annotators). The framework is inspired by two principles: use Wikipedia as a facade for a formal ontology and integrate the semantic annotation task with common user actions like web search. The tools in the framework have been implemented, and empirical results obtained in experiences carried out with these tools are reported.

Using Semantic Web Resources to Translate Existing Files Between CIM and IEC 61850

2012 ◽  
Vol 27 (4) ◽  
pp. 2047-2054 ◽  
Author(s):  
Rafael Santodomingo ◽  
José Antonio Rodriguez-Mondejar ◽  
Miguel A. Sanz-Bobi
Keyword(s):  
Semantic Web ◽  
Iec 61850 ◽  
Web Resources

scholarly journals Instance Based Clustering of Semantic Web Resources

2008 ◽  
pp. 303-317 ◽  
Author(s):  
Gunnar AAstrand Grimnes ◽  
Peter Edwards ◽  
Alun Preece
Keyword(s):  
Semantic Web ◽  
Web Resources

Semantic Web, RDF, and Portals

2011 ◽  
pp. 905-911
Author(s):  
Ah Lian Kor
Keyword(s):  
Semantic Web ◽  
Web Portals ◽  
Next Generation ◽  
Web Portal ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Web Resources ◽  
The Subject ◽  
Semantically Enhanced ◽  
Intensive Reading

In existing literature, Semantic Web portals (SWPs) are sometimes known as semantic portals or semantically enhanced portals. It is the next generation Web portal which publishes contents and information readable both by machines and humans. A SWP has all the generic functionalities of a Web portal but is developed using semantic Web technologies. However, it has several enhanced capabilities such as semantics- based search, browse, navigation, automation processes, extraction, and integration of information (Lausen, Stollberg, Hernandez, Ding, Han & Fensel, 2004; Perry & Stiles, 2004). To date the only available resources on SWPs are isolated published Web resources and research or working papers. There is a need to pool these resources together in a coherent way so as to provide the readers a comprehensive idea of what SWPs are, and how they could be built, and these will be supported by some appropriate examples. Additionally, this article will provide useful Web links for more extensive as well as intensive reading on the subject.

Ontologies in Intelligent Learning Systems

2012 ◽  
pp. 31-48
Author(s):  
Boryana Deliyska ◽  
Peter Manoilov
Keyword(s):  
Semantic Web ◽  
Learning Process ◽  
Learning Objects ◽  
Learning Systems ◽  
Learning Object ◽  
Structural Learning ◽  
Principal Role ◽  
Web Resources ◽  
Human Tutor ◽  
E Learning

The intelligent learning systems provide a direct customized instruction to the learners without intervention of human tutor on the base of Semantic Web resources. The principal role ontologies play in these systems is as an instrument for modeling learning process, learner, learning objects, and resources. In the chapter, a variety of relationships and conceptualizations of ontologies used in the intelligent learning systems are investigated. The utilization of domain and application ontologies in learning object building and knowledge acquisition is represented. The conceptualization of domain ontologies in e-learning is presented by the upper levels of its taxonomies. Moreover, a method and an algorithm intended for generation of application ontologies of structural learning objects (curriculum, syllabus, topic plan, etc.) are developed. Examples of curriculum and syllabus application ontologies are given. Further these application ontologies are used for structural learning object generation.

DISCOVERY OF RDFS:SEEALSO PATTERNS IN SEMANTIC WEB

2014 ◽  
Vol 28 (02) ◽  
pp. 1450003 ◽  
Author(s):  
FARZAM MATINFAR ◽  
MOHAMMAD ALI NEMATBAKHSH ◽  
GEORG LAUSEN
Keyword(s):  
Semantic Web ◽  
The Other ◽  
Web Based ◽  
Web Resources ◽  
Additional Information ◽  
Web Of Data ◽  
The Subject

The rdfs:seeAlso predicate plays an important role in linking web resources in semantic web. Based on the W3C definition, it shows that the object resource provide additional information about the subject resource. Since providing additional information can take various forms, the definition is generic. In the other words, the rdfs:seeAlso link can present different meanings to the users and it can represents different kind of patterns and relationships between web resources. These patterns are unknown and have to be specified to help organizations, and individuals to interlink, and publish their datasets on Web of Data using the rdfs:seeAlso link. In this paper, we investigate to the traditional usages of seealso and then present a methodology to specify the patterns of rdfs:seeAlso usages in Semantic Web. The results of our investigation show that the discovered patterns constitute a significant portion of rdfs:seeAlso usages in Web of Data.

UCLA CRSG semantic web resources

2016 ◽  
Vol 33 (3) ◽  
pp. 334-335
Author(s):  
Elise Y. Wong
Keyword(s):  
Semantic Web ◽  
Web Resources
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