Application of knowledge graph for making Text Summarization (Analizing a text of educational issues)

Knowledge Graphs Representation for Event-Related E-News Articles

“…Over 80% of data in the World Wide Web (WWW) are present in the form of an unstructured or semi-structured type, which makes knowledge extraction one of the major challenges in the KG research community. Fifteen years ago, researchers at the University of Twente and the University of Groningen, Netherlands, initiated the researches on KG theory and continued its focus on KG applications to analyze a text [5]. Over the years, several open KBs or ontologies have been created, including WordNet, DBpedia, YAGO, Freebase, BabelNet, and NELL, covering millions of real-world entities and relations in different domains [3,10,11,13].…”

“…Knowledge Graph (KG) is one of the novel methods of Natural Language Processing (NLP) for Knowledge Representation (KR), which is very important for the problems that require taking a series of conclusions from existing text [5]. A KG is a large network of interconnected data constructed through Knowledge Bases (KB), which gather information from source text on web pages, databases, audio, and video contents.…”

“…KG demonstrates the human language by analyzing entities and their relationships in KB factually and also augmented with background knowledge of an event [7]. KBs can either be domain-specific or generic [5], and in practice, a KB includes loads of triples, which are also termed as facts.…”

“…In linguistics, semantics is the subfield that studies the meaning of words, phrases, and sentences. Semantics are closer than logic in a sentence, and semantics are a part of the formal language that highlights the relationship between form and meaning within a sentence [5]. Hence, KGs can be used to describe human insight in the semantic model, which contains general knowledge about the world and process information.…”

“…Hence, KGs can be used to describe human insight in the semantic model, which contains general knowledge about the world and process information. KG represents the knowledge in the source documents and can be considered as an overview that defines and explains the natural language more than the aspect of semantics for syntax [5]. KG representation identifies the most significant information present in the source documents and represents that information to the reader in a condensed manner based on the individual readers' information desires.…”