This document discusses semantic technology and how it can help analyze the large amounts of data produced every day. Semantic computing uses standards like RDF and OWL to describe data and relationships between data in a way that enables applications to understand the meaning and context of information. This semantic web approach was originally developed by Tim Berners-Lee and allows data to be queried and analyzed to reveal patterns not apparent before. The future of semantic computing involves continued refinement of these standards and incorporation of semantic tools into artificial intelligence platforms.

1. Semantic Technology
How Does it Work?
Graeme Wood

2. Business Issues
• Billions of devices and systems
connected to internet
• They produce 5 exabytes of data per day
• This data can not be analysed effectively
• Traditional programs and data analysis
tools restrict open analysis
5 exabytes = 5,500,000,000,000 Mbytes

3. Semantic Computing
• Syntactic Interoperability
– Set of rules that defines correctly structured data or documents
• Semantic Interoperability
– Enables applications to understand the meaning of data
– Provide insights into the context

4. Original Semantic Web
• Developed by Tim Burners-Lee
• Developed through World Wide Web
Consortium (W3C)
• Uses common interoperability
standards for human to access web
– HyperText Transfer Protocol (HTTP)
– HyperText Markup Language (HTML)
– Extensible Markup Language (XML)
Tim Burners- Lee

5. Semantic Web (W3C)
• Resource Description Framework (RDF)
– Makes content available to computers
– Describes all facts as 3 part descriptors = triple
– A triple consists of a subject, a predicate, and an object
Graeme likes Gail

6. Semantic Web (W3C)
• Ontology
– Describes a system of relationships
– Is a schema, a model for constructing
frameworks of information
– Is not hierarchical (no parent child
relationship)
– Can be extended or combined with
other ontologies

7. Semantic Web (W3C)
• Web Ontology Language (OWL)
– Is computational logic-based language
– Show the data schema and show relationships about the data
– Users can infer new facts from existing facts

8. Semantic Web (W3C)
• SPARQL Query Language
– Is a set of standards accessing and updating data across
various database where data in RDF format
– Can be used to transmit queries across a network
– Can reveal patterns not apparent when data stored

9. Benefits of Semantic Web
• Developers can model data into
RDF/OWL ontologies that can defined
relationship
• Developers can create mappings of
existing structured data sets
• Developers can utilise other AI tools to
reveal patterns not apparent when
data stored

10. Common Artificial Intelligent Tools

11. Future for Semantic Computing
• Semantic developers continue to refine W3C based tools for
specialist platform
• AI vendors develop hybrid AI platform including NLP, Machine
Learning etc
• Traditional business application vendors incorporate AI tools
within their own development to create
“Intelligent versions”