Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Semantic b languages are being used to represent, encode and exchange semantic data in many contexts beyond the b – in databases, multiagent systems, mobile computing, and ad hoc networking environments. The core paradigm, hover, remains what  call the b aspect of the Semantic b – its use by independent and distributed agents who publish and consume data on the World Wide b. To better understand this central use case,  have harvested and analyzed a collection of Semantic b documents from an estimated ten million available on the b. Using a corpus of more than 1.7 million documents comprising over 300 million RDF triples,  describe a number of global metrics, properties and usage patterns. Most of the metrics, such as the size of Semantic b documents and the use frequency of Semantic b terms, re found to follow a por law distribution.
['Li Ding', 'Tim Finin']
I am writing a research paper on a idea Characterizing the semantic web on the web
[{"from": "human", "value": "I am writing a research paper on a idea Characterizing the semantic web on the web"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Semantic b languages are being used to represent, encode and exchange semantic data in many contexts beyond the b \u2013 in databases, multiagent systems, mobile computing, and ad hoc networking environments. The core paradigm, hover, remains what  call the b aspect of the Semantic b \u2013 its use by independent and distributed agents who publish and consume data on the World Wide b. To better understand this central use case,  have harvested and analyzed a collection of Semantic b documents from an estimated ten million available on the b. Using a corpus of more than 1.7 million documents comprising over 300 million RDF triples,  describe a number of global metrics, properties and usage patterns. Most of the metrics, such as the size of Semantic b documents and the use frequency of Semantic b terms, re found to follow a por law distribution."}]