Several factors hinder information retrieval in the medical profession. Consumers (layman
people) often struggle to learn medical terms. Because medical terms are more evident to …

Humans are accustomed to autonomously associating prior knowledge with the text in a
query when answering questions. However, for machines lacking cognition and common …

With the increasing demand of intelligent systems capable of operating in different contexts
(eg users on the move) the correct interpretation of the user-need by such systems has …

Abstract The World Wide Web (WWW) comprises a wide range of information, and it is
mainly operated on the principles of keyword matching which often reduces accurate …

Quantum computing is currently experiencing rapid progress. Due to the complexity and
continuous growth of knowledge in this field, it is essential to store information in a way that …

The process of query expansion (QE) involves the augmentation of most suitable search
terms to the original query ensuring best possible information retrieval. The objective of QE …

Word embedding enhances pseudo-relevance feedback query expansion (PRFQE), but
training word embedding models needs a long time and is applied on large-size datasets …

Query-document vocabulary mismatch, the lack of query expressiveness for user needs and
the phenomenon of short queries are the main issues associated with information retrieval …

The research presented in this thesis is directed at the generation, maintenance and query
ing of Curated Document Databases (CDDs) stored as literature knowledge graphs. Liter …

With the massive and fast-growing amount of information on the Web, maintaining the
effectiveness of Information Retrieval (IR) is a real challenge. The system in charge of online …