8 research outputs found
Semantic business process management: a vision towards using semantic web services for business process management
Business process management (BPM) is the approach to manage the execution of IT-supported business operations from a business expert's view rather than from a technical perspective. However, the degree of mechanization in BPM is still very limited, creating inertia in the necessary evolution and dynamics of business processes, and BPM does not provide a truly unified view on the process space of an organization. We trace back the problem of mechanization of BPM to an ontological one, i.e. the lack of machine-accessible semantics, and argue that the modeling constructs of semantic Web services frameworks, especially WSMO, are a natural fit to creating such a representation. As a consequence, we propose to combine SWS and BPM and create one consolidated technology, which we call semantic business process management (SBPM
A purely logic-based approach to approximate matching of Semantic Web Services
Most current approaches to matchmaking of semantic Web
services utilize hybrid strategies consisting of logic- and non-logic-based
similarity measures (or even no logic-based similarity at all). This is
mainly due to pure logic-based matchers achieving a good precision, but
very low recall values. We present a purely logic-based matcher implementation
based on approximate subsumption and extend this approach
to take additional information about the taxonomy of the background
ontology into account. Our aim is to provide a purely logic-based matchmaker
implementation, which also achieves reasonable recall levels without
large impact on precision
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
A flexible model for the semi-automatic location of services
Tesis doctoral inédita. Universidad Autónoma de Madrid, Escuela Politécnica Superior, julio de 200
Data Driven Adaptation of Heterogeneous Service-Oriented Processes
Η με βάση τα δεδομένα προσαρμογή διαδικασιών αποτελεί μια επέκταση της έννοιας
των Δυναμικών και με βάση τα Δεδομένα Καθοδηγουμενων Συστήματων (DDDAS) όπως
αυτά έχουν καθοριστεί από την Δαρεμά. Συγεκριμένα όπως και στα DDDAS συστήματα
η προσέγγιση μας επιτρέπει την προσφορά προσαρμοζόμενων διαδικασιών
χρησιμοποιώντας διαθέσιμες πληροφορίες και υπηρεσίες. H προσφορά
προσαρμοζόμενων διαδικασιών περιλαμβάνει την αναγνώριση και χρήση πιθανών
εναλλακτικών μονοπατιών εκτέλεσης (ή διαδρομών) για την επίτευξη των στόχων
και υπό-στόχων της κάθε διαδικασίας. Τα εναλλακτικά μονοπάτια λαμβάνουν υπόψη
και χρησιμοποιούν σχετικές πληροφορίες ή/και υπηρεσίες (ή συνθέσεις
υπηρεσιών). Για την αναζήτηση των πιθανών εναλλακτικών χρησιμοποιούνται
τεχνικές από το χώρο της Τεχνητής Νοημοσύνης Σχεδιασμού (AI Planning) και της
υπολογιστικής Πλαισίου (Context-Aware computing) κατά τον χρόνο διάθεσης της
διαδικασίας. Κατά τον υπολογισμό των πιθανών εναλλακτικών, στόχος της
προσέγγισης μας είναι η μείωση των βημάτων εκτέλεσης, δλδ του πλήθους των
εργασιών της διαδικασίας που έχουν οριστείIn principle the Data-Driven Process Adaptation (DDPA) approach is based on the
concept of Dynamic Data Driven Application Systems (DDDAS) as this is stated by
Darema in [8]. In accordance to the DDDAS notion such systems support the
utilization of appropriate information at specific decision points so as to
make real systems more efficient. In this regard, DDPA accommodates the
provision of adaptable service processes by exploiting the use of information
available to the process environment in addition to existing services.
Adaptation in the context of our approach includes the identification and use
of possible alternatives for the achievement of the goals and sub-goals defined
in a process; alternatives include the utilization of available related
information and/or services (or service chains). Data-Driven adaptation
incorporates AI planning and Context-Aware Computing techniques to support the
identification of possible alternatives at deployment time. When calculating
the possible alternatives the goal of our approach is to reduce the number of
steps, i.e. number of process tasks, defined in the original process
Integrating peer-to-peer into web services
The Service Oriented Architecture (SOA) is emerging as a new standard for building large loosely coupled systems. Web Services, the dominant implementation platform for SOA, use a server-centric approach to manage all components. This limits the deployment of Web Services to static domains, since a service invocation will fail if the server component changes its availability or location. This research focuses on the possibilities of integrating P2P technology into the Web Services environment as a means of increasing its robustness. A P2P-Web Services architecture is presented that enables service discovery and service invocations in dynamic environments. The corresponding experiments on the reference system and the simulation system present the characteristics and improvements of the hybrid system