On March 4, 2011, I began to really get interested in learning about Twitter and relating it to my Semantic Web studies. My interest got piqued by the ongoing news associated with the protests and revolts of the Arab Spring (http://en.wikipedia.org/wiki/The_Arab_Spring) and the instrumental use of social networks / media such as Twitter, Facebook, and YouTube by the protesters. Clearly, Twitter is a leading-edge part of our lives right now. Yesterday morning, I heard a radio host quip that one measure of who you are today is how many followers you have on Twitter!
From this inspiration about Twitter, the idea came to mind about interpreting Twitter streams, using the Twitter API to grad tweets and process the raw data as part of an accumulating knowledge / data capture from this social network. In time, this could form the basis for an ontology that could be augmented with data from other ontologies. The data can also be studied for trends, such as frequency of key words.
On April 16, I took the plunge and finally got my first ever Twitter account, @RaymondSison! My first tweet (sent that day) was "Hello World!". On May 1, I sent my second tweet: "The day has come at last: Bin Laden is dead. It's history..."
From this inspiration about Twitter, the idea came to mind about interpreting Twitter streams, using the Twitter API to grad tweets and process the raw data as part of an accumulating knowledge / data capture from this social network. In time, this could form the basis for an ontology that could be augmented with data from other ontologies. The data can also be studied for trends, such as frequency of key words.
On April 16, I took the plunge and finally got my first ever Twitter account, @RaymondSison! My first tweet (sent that day) was "Hello World!". On May 1, I sent my second tweet: "The day has come at last: Bin Laden is dead. It's history..."
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