With the ever increasing size of the web, relevant information extraction on the Internet with
a query formed by a few keywords has become a big challenge. Query Expansion (QE) …

The relative ineffectiveness of information retrieval systems is largely caused by the
inaccuracy with which a query formed by a few keywords models the actual user information …

Semantic processing is a fundamental research domain in computational linguistics. In the
era of powerful pre-trained language models and large language models, the advancement …

Text document clustering plays an important role in providing intuitive navigation and
browsing mechanisms by organizing large sets of documents into a small number of …

Semantic search has been one of the motivations of the semantic Web since it was
envisioned. We propose a model for the exploitation of ontology-based knowledge bases to …

Information retrieval systems traditionally rely on textual keywords to index and retrieve
documents. Keyword-based retrieval may return inaccurate and incomplete results when …

Currently, techniques for content description and query processing in Information Retrieval
(IR) are based on keywords, and therefore provide limited capabilities to capture the …

Word sense disambiguation (WSD) is traditionally considered an AI-hard problem. A break-
through in this field would have a significant impact on many relevant Web-based …

The rapid growth of the Web in the past two decades has made it the largest publicly
accessible data source in the world. Web mining aims to discover useful information or …

Noun phrases in queries are identified and classified into four types: proper names,
dictionary phrases, simple phrases and complex phrases. A document has a phrase if all …