Semantic technologies will create incremental value by making us more perceptive, intelligent and collaborative learners.
- The knowledge modeling capabilities of semantic technology will encourage us to create abstract models of our ideas, run simulations to evaluate and improve them and then implement the new models faster. This will enable us to solve problems faster, implement new ideas more effectively and innovate more often. We will become more perceptive in anticipating and responding to change and managing it successfully.
- The intelligence building properties of a semantic model will help us become smarter. Intelligent agents driven by semantic models will help us search, find and analyze vast information resources, including structured and unstructured data in private and public data repositories. They generate relevant and timely information that we can use to solve complex problems, communicate more effectively and create novel solutions.
- Semantic technologies facilitate a computer’s ability to learn from past cases, new information and user interaction. The more a semantic model is used, the smarter it gets. The smarter it gets, the more people want to use it. It becomes a self-improving system encouraging collaboration and learning and helping us become smarter over time.
- Semantic technologies help us create symbiotic relationships with everyone who shares the system. It realizes the value of social networking by making it easy to share information and build on each other’s knowledge. It helps us evolve towards more collaborative and democratic use of resources and power.
In conclusion, while semantic technologies initially seem complex, they are actually a way to help us dramatically simplify information systems. Since they help us reorganize our concepts into organized models that a many computer applications can access, they provide us with bridges between disparate systems. This empowers us to tackle new problems, create innovative services and make better informed decisions in ways that have never been possible before.
