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Semantic Processing.

Francisco M Couto1

  • 1LASIGE, Department of Informatics, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal.

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|June 12, 2019
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Summary
This summary is machine-generated.

This chapter introduces semantics for enhanced text and data processing. Learn to explore semantic resources using simple shell scripts for improved information retrieval.

Keywords:
AncestorsChEBI: chemical entities of biological interestDO: disease ontologyEntity linkingLexiconsOWL: Web Ontology LanguageOntologiesRecursionSemantic resourcesSemantic similarity

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Area of Science:

  • Computer Science
  • Natural Language Processing
  • Information Retrieval

Background:

  • Previous text processing relied on limited entity recognition.
  • The need for deeper text understanding and data enhancement is critical.

Purpose of the Study:

  • Introduce the fundamental concepts of semantics in data processing.
  • Provide practical, step-by-step examples for applying semantic techniques.
  • Empower readers to utilize available semantic resources effectively.

Main Methods:

  • Exploration of semantic principles and their application.
  • Demonstration of text and data retrieval using semantic methods.
  • Utilizing simple shell script commands for accessing semantic resources.

Main Results:

  • Readers will gain foundational knowledge in semantic text and data processing.
  • Practical skills in retrieving and enhancing information using semantics will be developed.
  • Proficiency in using shell scripts to interact with semantic resources will be achieved.

Conclusions:

  • Semantics offer a powerful approach to advanced text and data processing.
  • Accessible tools like shell scripts enable the exploration of rich semantic resources.
  • This chapter provides the essential skills for leveraging semantics in information management.