Resolution of Semantic Heterogeneity in Database Schema Integration Using Formal Ontologies

This paper addresses the problem of handling semantic heterogeneity during database schema integration. We focus on the semantics of terms used as identifiers in schema definitions. Our solution does not rely on the names of the schema elements or the structure of the schemas. Instead, we utilize formal ontologies consisting of intensional definitions of terms represented in a logical language. The approach is based on similarity relations between intensional definitions in different ontologies. We present the definitions of similarity relations based on intensional definitions in formal ontologies. The extensional consequences of intensional relations are addressed. The paper shows how similarity relations are discovered by a reasoning system using a higher-level ontology. These similarity relations are then used to derive an integrated schema in two steps. First, we show how to use similarity relations to generate the class hierarchy of the global schema. Second, we explain how to enhance the class definitions with attributes. This approach reduces the cost of generating or re-generating global schemas for tightly-coupled federated database

Interactive composition of WSMO based semantic web services in IRS-III

The discovery and integration of services in a composition are challenging tasks due to the lack of semantic in the Web services' description. WSMO community is working on developing ontologies and infrastructures to support Semantic Web Services. In this paper, we present a tool that takes into account WSMO descriptions to support a user guided, interactive composition approach whereby Web services are discovered and recommended to the users according to the composition context. The generated composition is orchestrated in IRS-III by our Java API for dataflow orchestration

IRS III: a platform and infrastructure for creating WSMO based semantic web services

The IRS project has the overall aim of supporting the automated or semi-automated construction of semantically enhanced systems over the inter-net. IRS-I supported the creation of knowledge intensive systems structured acording to the UPML framework and IRS-II integrated the UPML framework with web service technologies. In this paper we describe IRS-III. Within IRS-III we have now incorporated and extended the WSMO ontology. Our extensions to WSMO include the addition of input and output roles to goals and web services and a new type of mediator. As well as summarizing our additions to WSMO we outline the architecture of IRS-III and the associated interfaces

Integration of OWL-S into IRS-III

IRS-III is the first WSMO compliant system for supporting the Semantic Web Services technologies and it is based on the IRS-II [3]. This paper presents how we integrated the OWL-S [5] service description ontology to IRS-III. We describe how the underlying model of IRS-III supports OWL-S

Data Processing in Space, Time, and Semantics Dimensions

This work presents an experimental system for data processing in space, time and semantics dimensions using current Semantic Web technologies. The paper describes how we obtain geographic and event data from Internet sources and also how we integrate them into an RDF store. We briefly introduce a set of functionalities in space, time and semantics dimensions. These functionalities are implemented based on our existing technology for main-memory based RDF data processing developed in the LSDIS Lab. A number of these functionalities are exposed as REST Web services. We present two sample client side applications that are developed using a combination of our services with Google map service

Semantic web service composition in IRS-III: The structured approach

Semantic Web Services facilitate activities including automatic discovery and composition of Web Services. Research initiatives such as WSMO have been developing specifications for this technology. This paper describes a model for composition of Web services. The proposed model complements the WSMO orchestration in IRS-III, a framework for Semantic Web Services based on WSMO specification. We present a tool based on the above model that supports a user-guided interactive composition approach, by recommending component Web services according to the composition context

TLR5-Mediated Sensing of Gut Microbiota Is Necessary for Antibody Responses to Seasonal Influenza Vaccination

SummarySystems biological analysis of immunity to the trivalent inactivated influenza vaccine (TIV) in humans revealed a correlation between early expression of TLR5 and the magnitude of the antibody response. Vaccination of Trl5−/− mice resulted in reduced antibody titers and lower frequencies of plasma cells, demonstrating a role for TLR5 in immunity to TIV. This was due to a failure to sense host microbiota. Thus, antibody responses in germ-free or antibiotic-treated mice were impaired, but restored by oral reconstitution with a flagellated, but not aflagellated, strain of E. coli. TLR5-mediated sensing of flagellin promoted plasma cell differentiation directly and by stimulating lymph node macrophages to produce plasma cell growth factors. Finally, TLR5-mediated sensing of the microbiota also impacted antibody responses to the inactivated polio vaccine, but not to adjuvanted vaccines or the live-attenuated yellow fever vaccine. These results reveal an unappreciated role for gut microbiota in promoting immunity to vaccination

IRS-III: A broker-based approach to semantic Web services

A factor limiting the take up of Web services is that all tasks associated with the creation of an application, for example, finding, composing, and resolving mismatches between Web services have to be carried out by a software developer. Semantic Web services is a combination of semantic Web and Web service technologies that promise to alleviate these problems. In this paper we describe IRS-III, a framework for creating and executing semantic Web services, which takes a semantic broker based approach to mediating between service requesters and service providers. We describe the overall approach and the components of IRS-III from an ontological and architectural viewpoint. We then illustrate our approach through an application in the eGovernment domain