A Semantic Web-based Approach for Context-Aware User Query formulation and Information Retrieval

Abstract

Formulating unambiguous queries in the Semantic Web applications is a challenging task for users. This article presents a new approach in guiding users to formulate clear requests based on their common nature of querying for information. The approach known as the front-end ap proach gives users an overview about the system data through a vir tual data component which stores the extracted metadata of the data storage sources in the form of an ontology. This approach reduces the ambiguities in users' requests at a very early stage and allows the query process to effectively perform in fulfilling users' demands in a context-aware manner. Furthermore, the approach provides a powerful query engine, called context-aware query ing, that recommends the appropriate query patterns according to the user's querying context.

Relationship between the nature of the search task types and query reformulation behaviour

“…Similar to the previous works in query reformulation type [25][26][27], we constructed five reformulation categories based on the common and different search terms used in two successive queries: New, Add, Remove, Replace, and Repeat. Detailed definitions of each of these queries reformulation classifications with examples are illustrated in Table 1.…”