Web crawler agent wca
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Web Crawler Agent (WCA). Presented by Kirk Martinez University of Southampton. Introduction. WCA searches for missing information (fragments) on the Web WCA structures information into ontology “place_of_birth” (Person,Place)

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Web Crawler Agent (WCA)

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Web crawler agent wca

Web Crawler Agent(WCA)

Presented by

Kirk Martinez

University of Southampton


Introduction

Introduction

  • WCA searches for missing information (fragments) on the Web

  • WCA structures information into ontology “place_of_birth” (Person,Place)

  • Techniques used: NLP (Natural Language Processing), Information extraction, relation extraction, question answering


Overview

Overview


Is it something like google

Is it something like “Google”?

  • Search “date_of_birth” (when Rembrandt was born) with Google


Searching information with google

Searching information with Google

  • The “old” Web Search (eg Google) is good for getting documents but NOT for extracting concise answers

    • (e.g. “15-July-1606”)

  • No analysis to “understand” the documents (e.g. “Rembrandt” can mean “hotel” or “bookstore”)


Information extraction on the web

Information extraction on the Web

  • data may be low quality and repeated

    • e.g. Seurat Georges’s date of death

    • 29, March 1891(http://www.ibiblio.org/wm/paint/auth/seurat/)

    • 19, March 1891 (http://www.rickdoble.net/influence/20seurat.htm)

  • WCA depends on:

    • Well-structured sentences and documents

    • Good named-entity recognisers


Future work

Future work

  • verification

  • performance

  • autonomous


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