of these kinds of systems and their design in the context of interoperability architectures. Our solution fol-lows a semantic approach, for which ontologies are a key. The paper also presents an implementation of our design proposal, i.e., a real and usable system which is evaluated according to a set

Fab is a recommendation system designed to help users sift through the enormous amount of information available in the World Wide Web. Operational since Dec. 1994, this system combines the content-based and collaborative methods of recommendation in a way that exploits the advantages of the two

By combining both collaborative and content-based filtering systems, Fab may eliminate many of the weaknesses found in each approach. ONLINE READERS ARE IN NEED OF TOOLS TO HELP THEM COPE with the mass of content available on the World-Wide Web. In traditional media, readers are provided assistance

research. Expertise locating systems are not designed to replace people who fill these key organizational roles. Instead, expertise locating systems attempt to decrease workload and support people who have no other options. Recommendation systems are collaborative software that can be applied to expertise

in the SCR (Software Cost Reduction) tabular notation. As background, the SCR approach to specifying requirements is reviewed. To provide a formal semantics for the SCR notation and a foundation for consistency checking, a formal requirements model is introduced; the model represents a software system as a

maintaining a separation of concerns between these two aspects of a system. The key to the approach is to use a uniform notation and semantic base for both reconfiguration and steady-state behavior, while at the same time providing syntactic separation between the two. As we will show, this permits us to view

/context/solution/properties descriptions to common problems in object-oriented design. Localizing instances of these patterns in existing software produced without explicit use of patterns can improve the maintainability of software. In our approach, called the Pat system, design information is extracted directly from C ++ header files

This paper argues that domain-oriented design environments (DaDE) provide a complementary goal for the future of software engineering to the approaches pursued with knowledge-based software assistant systems (KBSA). The DaDE extends the KBSA framework by emphasizing a human-centered and domain

are working on templates within a successful set of CBR systems: case-based recommender systems and other memory-based recommender systems. We also describe the graphical template editor and how we represent the templates using Semantic Web technologies.

, battery power, connectivity, reachability of services and hosts, etc. In this paper, we describe CARISMA, a mobile computing middleware which exploits the principle of reflection to enhance the construction of adaptive and context-aware mobile applications. The middleware provides software engineers