A Semantic Web Primer - Chapter 2 pot

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 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 ... in natural language, of course, but in a formal, machine-processable language) to agent 2, representing a person. Then agent 2 might ask for an explanation, and agent 1 might respond wi...
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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- 0 121 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 ... Papazoglou, Stefano Spaccapietra, and Zahir Tari, editors, 20 00 Workflow Management: Models, Methods, and Systems Wil van der Aalst and Kees Max van Hee, 20 02 A S...
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A Semantic Web Primer - Chapter 3 doc

A Semantic Web Primer - Chapter 3 doc

... For example, given that the domain of teaches is academicStaffMember, that aca- demicStaffMember is a subclass of staffMembers,and that teaches(DB, DiMa), the agent can automatically deduce staffMember(DB) ... B 1 and B 2 , this simply means that every 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 prac...
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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

... ⇒¬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- resented as facts. For example, apartment a 1 might ... table 5.1. In practice, the flats on offer could be stored in a relational database. If we match Carlos’s requirements and the available apartments, we see that • flat a 1 is not ac...
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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 ... the 1st International Conference on Knowledge Capture (K-CAP). 20 01. <http://www.aifb.uni-karlsruhe.de/WBS/Publ /20 01/sealkcap2.pdf> The main page on DAML-S and DAML-enabled W...
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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

... Enumerations EnumeratedClass(weekdays Monday Tuesday Wednesday Thursday Friday Saturday Sunday) 4 .2. 9: Instances Individual(9493 52 type(academicStaffMember)) Individual(9493 52 type(academicStaffMember) value(age ... 38 axiomatic semantics, 94 B2B e-commerce, 6, 20 0 B2B portals, 6 B2C e-commerce, 5 cancer ontology, 20 9 cardinality restrictions, 121 CDATA, 34 class expressions, 122...
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Product Design for the Environment: A Life Cycle Approach - Chapter 2 potx

Product Design for the Environment: A Life Cycle Approach - Chapter 2 potx

... 11:30 :21 AM © 20 06 by Taylor & Francis Group, LLC 35 Part I Life Cycle Approach 27 22_ C0 02_ r 02. indd 3 527 22_ C0 02_ r 02. indd 35 12/ 1 /20 05 11 :29 :01 AM 12/ 1 /20 05 11 :29 :01 AM © 20 06 by Taylor & ... Technology and Society Magazine, 12( 1), 18 26 , 1993. 27 22_ C0 02_ r 02. indd 5 827 22_ C0 02_ r 02. indd 58 12/ 1 /20 05 11:30 :21 AM 12/ 1 /20 05 11:30 :21 AM...
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