知識圖譜

知乎
https://www.zhihu.com/topic/19838204/questions

Semantic Web vs. semantic technology

Semantic Web Technologies course 
http://www.meteck.org/SWT.html

Foundations of Semantic Web Technologies (許多課程投影片)
http://www.semantic-web-book.org/page/Slides

• Knowledge Representation for the Semantic Web, course at the Department of Computer Science and Engineering, Wright State University, Dayton, Ohio, winter quarter 2012. Covers RDF and OWL in depth.

Transformation of ZML schemas and XML data to RDF/OWL
http://topquadrantblog.blogspot.tw/2011/09/living-in-xml-and-owl-world.html


XML SchemaPlus Specification
This document presents a specification of XML SchemaPlus (XSP) for describing the layout of an XML document in such a way that RDF/OWL semantics can be retained.



Semantic University
http://www.cambridgesemantics.com/semantic-university/semantic-web-vs-semantic-technology#

Some examples of semantic technologies include natural language processing (NLP), data mining, artificial intelligence (AI), category tagging, and semantic search.

Semantic Web technologies include:

• a flexible data model (RDF),
• schema and ontology languages for describing concepts and relationships (RDFS and OWL),
• a query language (SPARQL),
• a rules language (RIF),
• a language for marking up data inside Web pages (RDFa),
• and more.

• Semantic Web Landscape
  • Getting Started: Understanding Semantic Technologies
  • Semantic Technologies Compared
  • Semantic Technologies Applied

• Technical Lesson Tracks
  • Learn RDF
  • Learn OWL and RDFS
  • Learn SPARQL
  • Semantic Web Design Patterns

• About Semantic University
  • Contact Semantic University
  • 
    

Web Data Semantics and Integration

7  Ontologies, RDF, and OWL
 7.1  Introduction
 7.2  Ontologies by example
 7.3  RDF, RDFS, and OWL
 7.4  Ontologies and (Description) Logics
 7.5  Further reading
 7.6  Exercises
8  Querying Data through Ontologies
 8.1  Introduction
 8.2  Querying RDF data: notation and semantics
 8.3  Querying through RDFS ontologies
 8.4  Answering queries through DL-LITE ontologies
 8.5  Further reading
 8.6  Exercises
9  Data Integration
 9.1  Introduction
 9.2  Containment of conjunctive queries
 9.3  Global-as-view mediation
 9.4  Local-as-view mediation
 9.5  Ontology-based mediators
 9.6  Peer-to-Peer Data Management Systems
 9.7  Further reading
 9.8  Exercices
10  Putting into Practice: Wrappers and Data Extraction with XSLT
 10.1  Extracting Data from Web Pages
 10.2  Restructuring Data
11  Putting into Practice: Ontologies in Practice (by Fabian M. Suchanek)
 11.1  Exploring and installing YAGO
 11.2  Querying YAGO
 11.3  Web access to ontologies
12  Putting into Practice: Mashups with YAHOO! PIPES and XProc
 12.1  YAHOO! PIPES: A Graphical Mashup Editor
 12.2  XProc: An XML Pipeline Language