Category: Knowledge Representation
What is Metadata Schema
Taxonomy is a method for organising, classifying, and naming things based on their qualities. It is used in a variety of fields to make sense [more…]
The Role of Knowledge Representation in NLP
Introduction In natural language processing (NLP), taxonomy, ontology, and knowledge graphs play critical roles in enabling machines to understand, categorize, and derive meaning from human [more…]
Content Creation: A Model For Semantic Search
Introduction Content creation is a multifaceted process of producing, developing, and publishing a variety of media, such as written articles, videos, images, podcasts across various [more…]
The Centre of Applied linguistics in Besançon: An Overview
Introduction The Centre de linguistique appliquée in Besançon, France, has long been a hub of linguistic research and innovation. This institution has made significant contributions [more…]
The Importance of Metadata in Building Knowledge
Introduction Metadata – referred to as the data that describes other data – is the information we create, store, and share to describe things. It [more…]
Python: A Versatile Tool for Semantic Analysis and Processing
Introduction 1. Introduction The field of semantics, concerned with meaning in language, has seen significant advancements driven by computational approaches. This paper investigates the suitability [more…]
Unveiling the Complexity of Arabic Causatives
Syno Introduction Begin by introducing the concept of causatives in linguistic theory. Provide a brief overview of causatives in general and their importance in understanding [more…]
