Semantic data
Making data mean something
Thirteen pieces on semantic data and knowledge discovery — what the web knows, how a machine finds it, and where the meaning sits.
What we cover
What is Semantic Data
The semantic data model is a software engineering model based on relationships between stored symbols and the real world.
Advantage of Semantic Data
The World Wide Web Consortium (W3C) has coined the term Semantic Web to describe the methods and technologies proposed to allow machines to understand the meaning (semantics) of information on the Web.
Knowledge Discovery
Knowledge discovery is the science of finding patterns within sets of data.
Knowledge discovery in the Internet
Retrieving knowledge discovery in the internet. In fulfilling one of its initial goals, the development of the World Wide Web has led to new knowledge discovery in the internet.
Web and Semantic Search
Semantic data refers to a model in which stored data is given semantics or meaning in relationship to the âreal world.â In the search engine sphere, therefore, specific keywords can be interpreted according to the reason that people search for such keywords.
Web knowledge Discovery
The internet has changed almost every facet of daily life including the way we learn.
What is a Knowledge Graph
A knowledge graph stores facts as things and the relationships between them, so machines can connect the dots.
Semantic vs Keyword Search
Keyword search matches words. Semantic search matches meaning. Here is how both work and when to combine them.
Ontology vs Taxonomy
A taxonomy sorts things into a hierarchy. An ontology also says how they relate. The difference, with examples.
Semantically right
Semantics is one of the main components of verbal and/or textual communication.
Proprietary Sema Technologies
The web is getting smarter every day.
