A Mashup Personalization Service Based on Semantic Web Rules and Linked Data

An integrated personalization framework for SaaS-based cloud services

“…BooksHPCLab [18] is a mashup application (from di↵erent sources of the Web), aims to o↵er intelligent and scalable personalization services. By introducing semantic rules and taking into account semantic-based mechanisms, this application enhanced the performance.…”

“…It involves systems with the capability to understand the meaning of each piece of data and its inner relationships which is extremely useful for discovering patterns in relation to a user's needs, interest and preferences. For instance, Solomou [18] proposed an intelligent and scalable personalization service that utilizes linked data to produce metadata-oriented recommendations for building personalized services.…”

“…To evaluate the performance of this framework, we conducted various performance measurement experiment and compared this framework with an original mash-up application (BooksHPCLab), a new implementation (BooksHPCLab revised) [18] and a client-side approach [14]. We use two metrics, Load Time and Reasoning Time, to evaluate the performance of the proposed framework.…”

Semantic client‐side approach for web personalization of SaaS‐based cloud services

“…In a mash‐up personalization framework by Solomou et al . , personalization rules and linked data are used to describe semantic data for offering an intelligent and scalable personalization service. However, this approach is also not designed for SaaS and the client side.…”

“…High performance is crucial in receiving and processing information about a wide number of profiles. Lack of semantics is another problem for most cloud‐based personalization frameworks. Limited semantics often lead to poor knowledge discovery capability and additional overheads when capturing a user's profile . When an explicit user information is filled via a form on a web page, converting the body contents efficiently into structured profile data that can be read by machine is an important procedure. Semantic languages like resource description framework (RDF)/XML or Web Ontology Language (OWL) are sometimes bulky and complex to manipulate on the client side, particularly in the collection of dynamic user behaviors .…”