Semantic Web Services

Web services that are semantic.

To investigate the cause and progression of a phenomenon, such as chronic disease, it is essential to collect a wide variety of data that together explains the complex interplay of different factors, e.g., genetic, lifestyle, environmental and social.

The DAML-S Process Model is designed to support the application of AI planning techniques to the automated composition of Web services. SHOP2 is an Hierarchical Task Network (HTN) planner well-suited for working with the Process Model.

Semantic markup of Web services will enable the automation of various kinds of tasks, including discovery, composition, and execution of Web services. We describe how an AI planning system (SHOP2) can be used with DAML-S Web service descriptions to automatically compose Web services.

Grid has emerged as a new paradigm for integration within dynamic virtual enterprises. Given a service-oriented Grid environment, more complex, value-added sophisticated services and applications can be built via service composition.

Data integration across multiple disciplines is a key requirement for virtual observatories. We have designed and implemented a virtual observatory for the areas of solar, solar-terrestrial, and space physics that leverages semantic technologies.

We have used semantic technologies to design, implement, and deploy an interdisciplinary virtual observatory. The Virtual Solar-Terrestrial Observatory is a production data framework providing access to observational datasets.

We have developed a semantic data framework that supports interdisciplinary virtual observatory projects across the fields of solar physics, space physics and solar-terrestrial physics.

Oceanographic research covers a broad range of science domains and requires a tremendous amount of cross-disciplinary collaboration. Advances in cyberinfrastructure are making it easier to share data across disciplines through the use of web services and community vocabularies.

The Third Provenance Challenge (PC3) offered an opportunity for provenance researchers to evaluate the interoperability of leading provenance models with special emphasis on importing and querying workflow traces generated by others.

We present a semantic technology-based approach to emerging environmental information systems. We used our linked data approach in the Tetherless World Constellation Semantic Water Quality Portal (TWC-SWQP).