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Query Based Intelligent Web Interaction with Real World Knowledge.

Ong Sing Goh1, Chun Che Fung1, Kok Wai Wong1

  • 1School of Information Technology, Murdoch University, South Street, Western Australia, 6150 Australia.

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|March 28, 2020
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Summary
This summary is machine-generated.

This study introduces an integrated AI system combining general and specific knowledge for intelligent web interactions. It outperforms traditional search and conversational agents in answering diverse user queries.

Keywords:
Artificial Intelligence (AI)Artificial Intelligent Natural Language Identity (AINI)Automated Knowledge Extraction Agent (AKEA)Natural Language Processing (NLP)

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Area of Science:

  • Artificial Intelligence
  • Natural Language Processing
  • Knowledge Representation

Background:

  • General conversational agents struggle with domain-specific queries.
  • Domain-specific systems lack common sense reasoning capabilities.
  • Bridging this gap is crucial for effective intelligent web interaction.

Purpose of the Study:

  • To develop an integrated system addressing limitations of current AI agents.
  • To combine open-domain and domain-specific knowledge for enhanced query answering.
  • To evaluate the system's performance against existing solutions.

Main Methods:

  • An integrated system comprising an AI chatterbot (AINI) and a knowledge extraction agent (AKEA).
  • AKEA acquires real-world knowledge from trustworthy internet sources.
  • AINI manages knowledge and generates user-appropriate responses.

Main Results:

  • The proposed integrated system demonstrates superior performance.
  • Comparison against popular search engines, QA systems, and conversational systems.
  • Effectiveness in handling both general and domain-specific queries.

Conclusions:

  • The integrated approach successfully overcomes limitations of isolated AI systems.
  • The system offers a more flexible and comprehensive solution for intelligent web interaction.
  • This approach paves the way for more capable AI-powered information retrieval.