Semantic Registry Research Articles

A Semantic Registry Method Using Sensor Metadata Ontology to Manage Heterogeneous Sensor Information in the Geospatial Sensor Web

Efficient information management and precise discovery of heterogeneous sensors in the Geospatial Sensor Web (GSW) are a major challenge. Intelligent sensor management requires a registry service to store and process sensor information efficiently. In this paper, we propose a Sensor Metadata Ontology (SMO) to achieve a unified semantic description for heterogeneous sensors that is used to express sensor semantics. Through mapping between the sensor registry information model and the SMO, the sensor metadata could be stored with semantic information for the registry. The framework of a Sensor Semantic Registry Service (SSRS) has been successfully implemented for the registration and discovery of heterogeneous sensors. The results of GEOSENSOR-SSRS experiments show that the proposed semantic registry method can be used to enable sharing in an open distributed sensor network as well as to promote accuracy and efficiency of discovery.

Postmarketing Safety Study Tool: A Web Based, Dynamic, and Interoperable System for Postmarketing Drug Surveillance Studies.

Postmarketing drug surveillance is a crucial aspect of the clinical research activities in pharmacovigilance and pharmacoepidemiology. Successful utilization of available Electronic Health Record (EHR) data can complement and strengthen postmarketing safety studies. In terms of the secondary use of EHRs, access and analysis of patient data across different domains are a critical factor; we address this data interoperability problem between EHR systems and clinical research systems in this paper. We demonstrate that this problem can be solved in an upper level with the use of common data elements in a standardized fashion so that clinical researchers can work with different EHR systems independently of the underlying information model. Postmarketing Safety Study Tool lets the clinical researchers extract data from different EHR systems by designing data collection set schemas through common data elements. The tool interacts with a semantic metadata registry through IHE data element exchange profile. Postmarketing Safety Study Tool and its supporting components have been implemented and deployed on the central data warehouse of the Lombardy region, Italy, which contains anonymized records of about 16 million patients with over 10-year longitudinal data on average. Clinical researchers in Roche validate the tool with real life use cases.

WSDL 2.0 model-based semantic web services registry

WSDL 2.0 model-based semantic web services registry

A Semantic Methodology for Customized Healthcare Information Provision

In healthcare domain there is a plethora of health information but no mechanism of satisfying customized users' requirements and providing demand oriented information. Healthcare domain is facing challenge of finding healthcare information that meets user requirements. Semantics can provide interoperable, automated and seamlessly meaningful communication for healthcare domain. Healthcare information is increasing with the increase of medical databases over the internet. In this matter provision of right information to appropriate users over the web is a great challenge. Semantic web technologies can address this issue by ensuring extensible, flexible and efficient information discovery related to diseases and clinical processes. We implemented a semantic registry that is a service registry as well as metadata registry. It manages and secures healthcare information and processes in a consistent way in compliance with emerging international standards and technical specifications. We evaluated our system through Patient Registration Scenario implemented semantically in our OWL- S framework.

A Semantic Registry for Digital Library Collections and Services

The Semantic Web has to date promised far more than it has been able to deliver. Libraries have been understandably cautious about investing extensively in ontology creation, mapping data to semantic representations, or tackling the hard problems of semantically describing collections and services. We look at the evolution of network addressable services, to service oriented architectures, and now toward semantically enhanced service oriented architectures. We also investigate various library technology standards that might influence semantic service and collection descriptions, as well as semantic registries. Next, we describe our own efforts to build a semantic registry of services and collections, for semantic metadata collections. Finally, we speculate about how these standards may evolve in the future.

Weaving a semantic grid for multidisciplinary collaborative design

This paper describes a preliminary attempt at weaving a Semantic Grid for multidisciplinary collaborative design over the internet. An ontology-based service-oriented modelling approach is proposed for distributed management of multidisciplinary design knowledge, through which, various Grid services for distributed applications are annotated with domain resource ontology to facilitate their autonomous deployment, reuse and federation in multidisciplinary collaborative design in a meaningful and flexible way. A service-oriented multi-agent system architecture is laid out in the peer-to-peer network of a distributed, scalable, semantic service registry to address, in an open, decentralised and loosely coupled manner, the life cycle of multidisciplinary collaborative design activities involved in publishing, discovering and reusing various Grid services efficiently. An intelligent service-oriented workflow planner equipped with an ontology- and rule-based problem-solving strategy is devised to support the users in constructing the workflow of a complex engineering design process from existing multidisciplinary design resources automatically, utilising their semantic descriptions. An example in applying the proposed approach to a multidisciplinary collaborative design of metal stamping progressive die is presented to illustrate the potential application of the workflow planner in the Semantic Grid.

Sharing e-Learning Object Metadata Using ebXML Registries for Semantic Grid Computing

To facilitate the processes of e-learning resource description, discovery and reuse, e-learning objects should be appropriately described and classified using standard metadata that need to be published in a registry to reduce duplication of effort and enhance semantic interoperability. This paper describes how standard ebXML registries can be used for semantic grid computing for annotating, storing, discovering and retrieving e-learning object metadata. For semantic annotation of e-learning objects, IEEE Learning Object Metadata (LOM) is adopted as the metadata ontology. In order to support the e-learning metadata ontology in interoperable ebXML registries, a mapping scheme between LOM and ebXML Registry Information Model (RIM) is proposed. The usefulness of sharing e-learning object metadata is demonstrated by prototyping a semantic registry based on the scheme.

Using semantics to extend the space physics data environment

The space physics data environment is evolving with the advent of virtual observatories. With the primary function of most virtual observatories being data search and retrieval, an emphasis has been placed on providing value-added data processing services. That is, creating web services that take discovered data and provide common and routine processing such as coordinate transformations and data sub-setting. As these services proliferate, finding, accessing and using them no longer becomes a trivial task. This paper discusses a semantic registry that enables the searching of these services via ontology. We discuss the benefits of such a registry and illustrate how the web and application programming interfaces benefit the space physics community.

Performance evaluation of semantic registries: OWLJessKB and instanceStore

Service discovery is a critical task in distributed computing architectures for finding a particular service instance. Semantic annotations of services help to enrich the service discovery process. Semantic registries are an important component for the discovery of services and they allow for semantic interoperability through ontology-based query formulation and dynamic mapping of terminologies between system domains. This paper evaluates two semantic registries—OWLJessKB implementation and instanceStore—to determine the suitability of these with regards to the query response time and the overall scalability for use in mathematical services. Mathematical ontologies from the MONET project are used to undertake comparison. The results demonstrate that the performance of registries may be compared across two axes: (1) time to initialize (i.e. time to load an initial ontology into memory); (2) time to query (i.e. time to reason with an ontology loaded into memory).