A new look of the Semantic Web
Abstract
[NOTE TO REVIEWERS: As a viewpoint short article, it doesn't actually have an abstract]
Understanding semantics of data on the Web and thus enabling meaningful processing of it has been at the core of Semantic Web research for over the past decade and a half. The early promise of enabling software agents on the Web to talk to one another in a meaningful way spawned research in a number of areas and has been adopted by governments, industry, and academia. Yet, the nature of the Semantic Web research today is changing. Semantic Web research today distinguishes itself by embracing the messiness of real-world data and its oftentime contradicting semantics. In this paper, we discuss the new research challenges and directions for Semantic Web research.
Understanding semantics of data on the Web and thus enabling meaningful processing of it has been at the core of Semantic Web research for over the past decade and a half. The early promise of enabling software agents on the Web to talk to one another in a meaningful way spawned research in a number of areas and has been adopted by governments, industry, and academia. Yet, the nature of the Semantic Web research today is changing. Semantic Web research today distinguishes itself by embracing the messiness of real-world data and its oftentime contradicting semantics. In this paper, we discuss the new research challenges and directions for Semantic Web research.
Research Areas
