Semantic E-Workflow Composition
By Jorge S. Cardoso, Amit P. Sheth. Journal of Intelligence and Information Systems, 2003
446 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/1534205dfc7e7f0d2205afdb667f65d3d72716ab
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Kunal Verma
- John A. Miller
- Athman Bouguettaya
- Brahim Medjahed
- Amit P. Sheth
- Kaarthik Sivashanmugam
- Evren Sirin
- Katia P. Sycara
In Computer Networks and Communications
- Kunal Verma
- John A. Miller
- Jia Yu
- Athman Bouguettaya
- Brahim Medjahed
- Schahram Dustdar
- Wolfgang Schreiner
- Rajkumar Buyya
In Information Systems
- Kunal Verma
- John A. Miller
- Athman Bouguettaya
- Brahim Medjahed
- Amit P. Sheth
- Kaarthik Sivashanmugam
- Evren Sirin
- Katia P. Sycara
Citations in the corpus
- A Taxonomy of Workflow Management Systems for Grid Computing (2005, background): “ compose manually. However, automatic composition of application components is challenging because it is difficult to capture the functionality of components and data types used by the components [96][27]. 2.1.4 Workflow QoS Constraints In Grid environments, there are a large number of similar or eq”
- Quality of service for workflows and web service processes (2004, background): “These allows us to conclude that Web processes can be viewed as workflows that manage Web services instead of tasks (Cardoso and Sheth 2003).”
- METEOR-S WSDI: A Scalable P2P Infrastructure of Registries for Semantic Publication and Discovery of Web Services (2005, methodology): “We have adapted the Semantic Discovery algorithm by [28] for this purpose.”
- Adding Semantics to Web Services Standards (2003, background): “The result set is then ranked based on the semantic similarity [ 15 ] between the input concepts of the returned Web services to the input concepts (TicketInformation) of the template and the output concepts of the returned Web services to the output concepts (ConfirmationMessage) of the template.”
- Meteor-s web service annotation framework (2004, background): “The research in this area varies from ontology merging [20] to mapping ontologies for service discovery [21].”
- Bringing Semantics to Web Services with OWL-S (2007, methodology): “[14] compute the syntactic, operational and semantic similarities expressed in OWL-S profiles to generate a ranking function.”
- A survey on web services composition (2005, methodology): “Subsequently an alternate data representation is introduced by translating the MOEM graph into an equivalent graph representation and by the means of a state table containing the device-type, user, return type and service identifier in order to improve the search.”
- Constraint driven Web service composition in METEOR-S (2004, methodology): “Highly intertwined with semantics (and considered in this proposal as part of semantic specification) is the issue of Quality of Service (QoS), pursued from academic setting in [9, 10, 30], and in industry setting under the Web Service Policy framework [7].”
- Measuring Similarity between Semantic Business Process Models (2007, background): “(Cardoso & Sheth 2003) propose an algorithm to discover Web services and resolve heterogeneity among their interfaces in a workflow environment with the use of ontologies.”
- Modeling Quality of Service for Workflows and Web Service Processes (2002, background): “These allows us to conclude that Web processes can be viewed as workflows that manage Web services instead of tasks (Cardoso and Sheth 2003).”
- Composing Web services on the Semantic Web (2003, methodology): “An approach to ontology-based composition of Web services is proposed in [ 8 ].”