Andrea Turati

GLUE2: A Web Service Discovery Engine with Non-Functional Properties

The increasing availability of Web services asked for investigating ways to automate the discovery process. Discovery processes enhanced with semantics can be recognize to be general, but often they lack the flexibility needed in specific domains. In this paper, we propose the flexible architecture of the discovery engine Glue2, which comes with a powerful set of discovery components (for functional matching, non-functional matching, data fetching, etc.) that can be executed in different order as required by specific execution workflows.

PAGE : a distributed infrastructure for fostering RDF-based interoperability

This paper shows how to build a scalable, robust and efficient distributed Internet-scale RDF repository, that we name PAGE (Put And Get Everywhere).

Squiggle: an experience in model-driven development of real-world semantic search engines

Search engines are becoming such an easy way to find textual resources that we wish to use them also for multimedia content; however, syntactic techniques, even if promising, are not up to the task: future search engines must consider new approaches. In order to prove that Semantic Web technologies provide real benefits to end users in terms of an easier and more effective access to information, we designed and developed Squiggle, a Semantic Web framework that eases the deployment of semantic search engines. Following a model-driven approach to application development, Squiggle makes ontologies part of the running code. We evaluate the advantages of Squiggle against traditional approaches in real world deployments.

Analyzing User Actions within a Web 2.0 Portal to Improve a Collaborative Filtering Recommendation System

The current Web manifests the problem of information overload, especially due to the success of the Web 2.0 paradigm, in which users provide new contents quickly. To help people find the most valuable information, many Web sites include a recommendation system based on a rating mechanism. However, such approach cannot be used when a rating mechanism is not present and, in addition, it does not take into account all the actions performed by the users. We propose an extension of the collaborative filtering approach to design a more effective recommendation system that overcomes those limitations.

WebML and Glue: An Integrated Discovery Approach for the SWS Challenge

In this paper we describe the improvements on our approach to the old discovery scenario of the SWS Challenge and our current solution for the new discovery and composition scenario. The mediation scenario is not included in this paper since there were no changes to it from the edition of the SWS Challenge workshop in Athens. The solution proposed is based on the WebML design methodology and the Glue WSMO discovery engine.

Experiences in the Design of Semantic Services Using Web Engineering Methods and Tools

Although Semantic Web Services are expected to produce a revolution in the development of Web-based systems, very few concrete design experiences are available; only recently, Software Engineering methods and tools have started to embrace the deployment of Semantic Web applications. In this paper, we show how classical Software Engineering methods (i.e., formal business process development, computer-aided and component-based software design, and automatic code generation) combine with semantic methods and tools (i.e., ontology engineering, semantic service annotation and discovery) to forge a new approach to software development for the Semantic Web. In particular, we present our experience in the participation to the Semantic Web Service (SWS) challenge 2006, where the proposed approach achieved very good results in solving the proposed problems.

STAR:chart - Preserving Data Semantics in Web-Based Applications

Every time a Web-based interface is built upon pre-existing data-sources, the result comes often from a difficult and painful process of negotiation between the data manager – who knows the “semantics” of the data to be exposed, but cannot build the UI on his own – and the Web designer – who cares a lot about the presentation and the rendering, but often is not an expert about the content to be displayed.