April 2012
Maintaining Reputation through Online Analytics
PUR334
1.4 Introducing the Semantic Web Today social networks are largely comprised of text based content which requires an algorithm for detecting linguistics and presenting such data as qualitative data sets. Semantic analytics are therefore an amalgamation between text analytics and network ontologies. Recent research presents a dependency upon RDF (Resource Description Framework)2, a model which allows data sets to be placed within web pages (RDF Working Group, 2004). This creates a noteworthy distinction between hyperlinks and RDF (Lee, 2009);
“Like the web of hypertext, the web of data is constructed with documents on the web. However, unlike the web of hypertext where links are relationships anchors in hypertext documents written in HTML, for data they links between arbitrary things described by RDF�3.
The creation of RDF links allows navigation across one data source to many others; with the addition of a FOAF (Friend of a Friend) data link it is possible to attribute identification to another author (Lee, 2009). When FOAF is used with RDF a social network is created between individuals and data sets (Golbeck & Rothstein, 2008), allowing a significant degree of accuracy between content, context and a network of relationships.
Currently data mining for semantic data is achieved through semantic search engines (through crawlers) or semantic web browsers. Presenting data in an understandable format is accomplished through the use of OWL (Web Ontology Language), a sublanguage for applying additional vocabulary for when data needs to be processed by machines rather than humans (McGuiness & Harmelen, 2004).
2
Which is written using XML (Extensible Mark-up Language) This quote written by founding father of the World Wide Web in 2006 (revised in 2009), Tim Berners-Lee, signalled the founding of Linking Open Data project which aims to make data freely available to everyone. 3
20 | P a g e