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[Semantic Web]Powerful (Soft) Semantics
Lee 发表于 2006/5/29 10:28:36

The statistical analysis of data allows the exploration of relationships that are not explicitly stated. Statistical techniques give us great insight into a corpus of documents or a large collection of data in general, when a program exists that can actually “pose the right questions to the data,” t

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[Semantic Web]Formal Semantics
Lee 发表于 2006/5/19 13:01:12

  Humans communicate mostly through language. Natural language, however, is inherently ambiguous—semantically, but also syntactically. Computers lack the ability to disambiguate and understand complex natural language. For these reasons, it is infeasible to use natural language as a means for mach

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[Semantic Web]Implicit Semantics
Lee 发表于 2006/5/17 15:10:28

This type of semantics refers to the kind that is implicit from the patterns in data and that is not represented explicitly in any strict machine processable syntax. Examples of this sort of semantics are the kind implied in the following scenarios:

 


[Semantic Web]Types of Semantics
Lee 发表于 2006/5/17 14:54:42

 (1) Implicit semantics Implicit semantics is either largelypresent in most resources on the Web or can easily (quickly) be extracted. Hence mining and learning algorithms applied to these resources can be utilized to extract structured knowledge or enrich existing structured formal representations. Since formal semantics intrinsically does not exist, implicit semantics is useful in processing data sets or corpus to obtain or bootstrap semanticsthat can be then represented in formal

 


[Semantic Web]Annotaiton Tools
Lee 发表于 2006/4/26 10:41:52

Here are some annotation tools:     SHOE Knowledge Annotator   Annotea   Annozilla   SMORE   Yawas   Melita   GATE   Brefing Associate   SemanticWord   Semantic Markup Plug-In MS IE   OntoMat Annotizer   KIM Semantic Annotation Platform   MnM  

 


[Semantic Web]OntoExtract
Lee 发表于 2006/3/12 12:50:04

OntoExtract builds on a core natural language analysis engine. The engine supports analysis of natural language texts and generates lightweight, domain specific ontologies of these texts while utilizing already existing knowledgefrom a central data repository.   The overall extraction process is typically iterative, with a user initiating the process by providing a location to analyse for seed-ontology generation, together with some parameters that define the extent of th

 


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