However, despite the increased academic and commercial interest to Web services, there is currently no survey available analysing most relevant Web services. Moreover, to the best of our knowledge, there is no publicly available study analysing the structure and potential synergy between commercial and governmental Web services.

In this paper we target these shortcomings by providing a case study of automated Web service composition for semantically annotated commercial and governmental Web services. We propose a method for identifying most applicableWeb services and demonstrate it on a case study.We also analyse interaction and potential synergy between commercial and governmental Web services.

In this paper, we describe an automated way to generate solutions for service composition problems that span over multiple ontologies that have similar but not exactly the same structure. Our approach is based on a Hierarchical Task Network (HTN) planning model and extends the HTN-DL framework. This HTN planning model allows ontological problem decomposition in order to evaluate structural properties that span across multiple ontologies that are relevant to an input composition problem. We present a demonstration of the advantages of this approach.

One key research issue that has arisen out of the VOE project is how to actually identify and subsequently justify these variation points and variation features based on changed requirements. In this paper we propose our approach called Variation- Oriented Requirements Analysis (VORA) that addresses this issue. VORA is based on a traceability model that maps requirements to use cases, sequence diagrams, business processes and finally service specifications. We show how this mapping can also be used to (semi-) automatically map requirement changes down to variation points and variation features at service and business process level. We also demonstrate VORA via a simple yet realistic running example.

Web services for remote portlets (WSRP) provides standards based interfaces for creation of presentation oriented services using web services technology .However, any WSRP based remote portlet needs to be refreshed every time when even a single data element changes in the portlet. Complementarily, technologies like Asynchronous JavaScript and XML (AJAX) also allow for content aggregation and asynchronous data retrieval. Unlike WSRP, in AJAX only the required control needs to be refreshed, whenever data changes. In AJAX too,, every aggregator is required to include AJAX control accessing the same back end service leading to considerable replication of effort. These two technologies complement each other in terms of ease of sharing of aggregated content and better usability of such content.

Overall, often there is a requirement to dynamically generate UI content from XML data, customize and share aggregated content with remote consumers and finally allow for partial updates of remote aggregated content for better usability. We take a holistic view of the problem statement and propose an end to end architectural approach that combines usage of WSRP, AJAX along with XML syndication feeds like RSS for creation of standards based, customizable, and dynamically generated reusable UI that has better interactivity, speed and usability.

We propose a composition algorithm solving the task of designing a collaborative business process while respecting a set of primary and recovery goals. In our model, each business process is described as a finite state machine. The multiplication of all business processes in one single model of possible executions would lead to an explosion of the number of states. Therefore, our composition algorithm directly interprets the multiple finite state machine (FSM) representations and creates a collaborative business process without integrating all FSMs into a single FSM upfront.

Our composition algorithm returns an orchestration of the given business processes only in the case that it can be assured that each execution only leads to an expected primary or recovery goal. In order to prove our concepts, we first mathematically define the execution of business processes and orchestrations by providing abstract state machine (ASM) representations for them. Second, we execute the ASMs in the execution engine CoreASM which shows that the generated orchestration steers the execution of the business processes as intended.

Here, we introduce a new architecture, HM-Hybrid, to process events for monitoring efficiently. It is a hybrid of a result cache and a batch update. And our model-driven approach makes it possible for them to work together in situations that are normally regarded as being unsuited for them. It processed 1207 events per second, about 43000 queries per second. It is 6 times better performance over a naive caching architecture in our experiments. The architecture seems useful for monitoring applications where there are many update and select queries.