A Semantic Web Primer - Chapter 1 potx

A Semantic Web Primer - Chapter 1 potx

A Semantic Web Primer - Chapter 1 potx

... Schema. • Upward partial understanding. On the other hand, agents fully aware of a layer should take at least partial advantage of information at higher levels. For example, an agent aware only of ... the Semantic Web: Examples 1. 2 .1 Knowledge Management Knowledge management concerns itself with acquiring, accessing, and maintaining knowledge within an organization. It has emerged as...
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A Semantic Web Primer - Chapter 0 docx

A Semantic Web Primer - Chapter 0 docx

... and van Harmelen ,!7IA2G2-abcbac!:t;K;k;K;k 0-2 6 2-0 12 1 0-3 #737806 03/23/04 A Semantic Web Primer Grigoris Antoniou and Frank van Harmelen The development of the Semantic Web, with machine-readable ... was factored out from the database proper and entrusted to the small group of regular users and application programs. The advent of the Web has changed all that. Datab...
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A Semantic Web Primer - Chapter 2 pot

A Semantic Web Primer - Chapter 2 pot

... format- ting language. Its ability to move data and metadata from one XML rep- resentation to another makes it a most valuable tool for XML-based applica- tions. Generally XSLT is chosen when applications ... approach has also been taken for RDF (see chapter 3). It should be noted that XML can serve as a uniform data exchange format between applications. In fact, XML’s use as a data e...
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A Semantic Web Primer - Chapter 3 doc

A Semantic Web Primer - Chapter 3 doc

... of teaches is academicStaffMember, that aca- demicStaffMember is a subclass of staffMembers,and that teaches(DB, DiMa), the agent can automatically deduce staffMember(DB) using the predicate logic semantics ... instance of A is both an instance of B 1 and an instance of B 2 . A hierarchical organization of classes has a very important practical sig- nificance, which we outline now. C...
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A Semantic Web Primer - Chapter 4 pptx

A Semantic Web Primer - Chapter 4 pptx

... ontology: •Vocabulary partitioning. Any resource is allowed to be only a class, a data type, a data type property, an object property, an individual, a data value, or part of the built-in vocabulary, and not ... more than one of these. This means that, for example, a class cannot at the same time be an individual, or that a property cannot have some values from a data type and s...
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A Semantic Web Primer - Chapter 5 ppt

A Semantic Web Primer - Chapter 5 ppt

... described as follows: bedrooms (a 1 , 1) size (a 1 , 50) central (a 1 ) floor (a 1 , 1) ¬lift (a 1 ) pets (a 1 ) garden (a 1 , 0) price (a 1 , 300) The description of the available apartments are summarized ... ⇒¬acceptable(X) r 9 >r 1 5.6.2 Representation of Available Apartments Each available apartment is given a unique name, and its properties are rep- re...
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A Semantic Web Primer - Chapter 6 ppsx

A Semantic Web Primer - Chapter 6 ppsx

... Semantic Web Technology The key ideas of the Semantic Web, namely, common shared meaning (ontol- ogy) and machine-processable metadata, establish a promising approach for satisfying the e-learning ... direct access to the data through the ontology. We illustrate the general idea using a camera example. 4 Here is one way in which a particular data source or application may talk ab...
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A Semantic Web Primer - Chapter 7 docx

A Semantic Web Primer - Chapter 7 docx

... widely available. Already we rarely have to start from scratch when defining an ontology. There is almost always an ontology available from a third party that provides at least a useful starting ... these areas. • Ontology integration and navigation deal with reconstructing and navi- gating in large and possibly machine-learned knowledge bases. For ex- ample, the task can be to change the...
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A Semantic Web Primer - Chapter 8 ppt

A Semantic Web Primer - Chapter 8 ppt

... 82 instances, 81 knowledge management, 3, 18 5 knowledge representation, 15 1 layer, 16 layering of OWL, 12 7 literals, 64 logic, 12 , 15 1 logic layer, 18 machine learning, 211 machine-processable Web ... species, 11 3 owl:AllDifferent, 14 0 owl:allValuesFrom, 11 9, 14 2 owl:backwardCompatibleWith, 12 6 owl:cardinality, 12 2, 14 2 owl:Class, 11 7 owl:complementOf, 12 3,...
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A Practical Guide to Particle Counting for Drinking Water Treatment - Chapter 1 potx

A Practical Guide to Particle Counting for Drinking Water Treatment - Chapter 1 potx

... Disk 10 9 b. Floppy Diskette 10 9 c. CD ROM 11 0 d. Other Permanent Storage Media 11 0 6. Communications Ports 11 0 a. Serial Port 11 0 b. Parallel Port 11 1 c. Network Card 11 1 d. USB 11 1 7. Additional ... Samplers 12 8 2. Packaging 12 9 3. Counting Electronics 12 9 4. Computer Interface 12 9 a. Hardware 12 9 b. Software 13 0 Chapter 14 Calibration A. Calibration: An...
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