A knowledge retrieval model using ontology mining and user profiling

A Technique to User Profiling Ontology Mining and Relationship Ranking

Ontologies play a crucial role in emerging fields of web technology like e-commerce, expert systems and so on. User preferences and user interesting topics can be captured through User Profiling Ontologies (UPO). The proposed framework discussed here, is to construct a personalized UPO, based on the interest of a particular user. The constructed UPO can be much more strengthened, by establishin...

User Profiling for the MELVIL Knowledge Retrieval System

User Profiling: Web Usage Mining

Web usage mining differs from collaborative filtering in the fact that we are not interested in explicitly discovering user profiles but rather usage profiles. When preprocessing a log file we do not concentrate on efficient identification of unique users but rather try to identify separate user sessions. These sessions are then used to form the so called transactions (see [3]). In the followin...

Ontology-based User Profile Model Used in Information Retrieval

The information on Internet expands so fast, so how to provide effect and sufficient information to meet the customers’ satisfactory has become a frontier in Information Retrieval. Personalized information retrieval provides search results based on the unique customer’s characteristic. The key difficult in the long-term personalized information retrieval is how to depict the user’s characterist...

Knowledge Retrieval and Data Mining

The rapid growth and adoption of the World Wide Web has further exacerbated the user need for efficient mechanisms for information and knowledge location, selection and retrieval. Much work is required to address knowledge retrieval; for instance, users' information needs could be better interpreted, leading to accurate information retrieval. This paper is to suggest knowledge retrieval as a ne...