• Publications
  • Influence
Federated database systems for managing distributed, heterogeneous, and autonomous databases
  • A. Sheth
  • Computer Science
    CSUR
  • 1 September 1990
TLDR
This paper defines a reference architecture for distributed database management systems from system and schema viewpoints and shows how various FDBS architectures can be developed and defines a methodology for developing one of the popular architectures of an FDBS.
The SSN ontology of the W3C semantic sensor network incubator group
Web Service Semantics - WSDL-S
TLDR
The Web Service Semantics technical note defines a mechanism to associate semantic annotations with Web services that are described using Web Service Description Language (WSDL), and externalizes the semantic domain models to take an agnostic approach to ontology representation languages.
Semantic Sensor Web
TLDR
The semantic sensor Web (SSW) proposes that sensor data be annotated with semantic metadata that will both increase interoperability and provide contextual information essential for situational knowledge.
Meteor-s web service annotation framework
TLDR
MWSAF (METEOR-S Web Service Annotation Framework), a framework for semi-automatically marking up Web service descriptions with ontologies, which has developed algorithms to match and annotate WSDL files with relevant ontologies.
An overview of workflow management: From process modeling to workflow automation infrastructure
TLDR
This paper provides a high-level overview of the current workflow management methodologies and software products and discusses how distributed object management and customized transaction management can support further advances in the commercial state of the art in this area.
Service Level Agreement in Cloud Computing
TLDR
This paper proposes a mechanism for managing SLAs in a cloud computing environment using the Web Service Level Agreement framework, developed for SLA monitoring and SLA enforcement in a Service Oriented Architecture (SOA).
Harnessing Twitter "Big Data" for Automatic Emotion Identification
TLDR
The experiments demonstrate that a combination of unigrams, big rams, sentiment/emotion-bearing words, and parts-of-speech information is most effective for gleaning emotions.
OntoQA: Metric-Based Ontology Quality Analysis
TLDR
OntoQA, an approach that analyzes ontology schemas and their populations (i.e. knowledgebases) and describes them through a well defined set of metrics can highlight key characteristics of an ontology schema as well as its population and enable users to make an informed decision quickly.
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