Ontological user modelling and semantic rule-based reasoning for personalisation of Help-On-Demand services in pervasive environments

VIPR: A Visual Interface Tool for Programming Semantic Web Rules

“…The SWRL format is similar to a simple Horn-like rule structure that is built upon the knowledge base of OWL to increase expressivity in ontology models. Generally, a rule defines a cause-effect relation among a collection of entities that are specific to a domain of knowledge [1]. An OWL ontology written in the abstract SWRL syntax is built using a defined sequence of axioms and facts.…”

“…With advances in the use of technology for Ambient Assisted Living (AAL), the need for context-aware, personalised services is increasingly prevalent and has been aided through the development of knowledge modelling, representation and inference models in rceent years [1]. The Semantic Web is proposed as an advanced version of the current WWW, offering an enhanced infrastructure that is used to promote knowledge sharing, allowing new research into the areas of mobile computing and pervasive technologies.…”

“…In particular, knowledge-engineered models (such as the use of ontological models) have been used to support the specification of domain conceptualisations for the purpose of facilitating information sharing, representation of user needs and profiles [1] and knowledge inference [3] in context-aware applications.…”

Personalize Web Searching Strategies Classification and Comparison

“…Models for web personalization include rule filtering [4] based on principle of step by step processing and collaborative filtering [5], that present relative material of the customers combining their own preference with the preference of others that in the same way. Collaborative filtering can applied for books, music, video and other.…”

“… Ranking results is not appropriate for individual user but give good results to the audience;  User queries are with low quality because the average length of the query is 2-3 words;  Some words are poly-semantic and they have different meaning in different context;  There is no possibility to implement a pattern for Table 1 Publication example 1 Method Description Advantages Personalized Semantic retrieval and summarization of web based documents [11] Personalized search based on content analysis User model with use interests Use ontology to avoid cold start problem and information over load; semantic similarity A ontological user modeling and semantic rule-based reasoning for personalization of help-on-demand services in pervasive environments [4] Personalized search based on content analysis…”