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myPlanet : an ontology-driven Web-based personalised news service. Yannis Kalfoglou, John Domingue, Enrico Motta, Maria Vargas-Vera, Simon Buckingham Shum The Open University. Presented by Sang Su Lee. Figures liberally borrowed from paper. Need for the personalised information service.

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myPlanet: an ontology-driven Web-based

personalised news service

Yannis Kalfoglou, John Domingue, Enrico Motta,

Maria Vargas-Vera, Simon Buckingham Shum

The Open University

Presented by Sang Su Lee

Figures liberally borrowed from paper


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Need for the personalised information service

Research goals

  • Finding interesting stories for himself/herself is non-trivial.

  • Can be fulfilled by part of an ontology that is tailored to a specific service.

  • Using lowest-common-denominator medium: an email message.

  • To improve and ease ontology usability for web users by means of ontology

  • driven web-based front-ends to personalised services

  • To provide lightweight means for ontology maintenance triggered by users’

  • input by deploying IE techniques along with domain specific templates.

Introduction

myPlanet: an ontology-driven Web-based personalised news service


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User Types

Activities

What is PlanetOnto?

PlanetOnto

myPlanet: an ontology-driven Web-based personalised news service

- A kind of news publishing system

  • An integrated suite of tools

  • Allow ontology-driven document formalization

  • Augment standard browsing and search facilities with deductive knowledge retrieval

  • Journalist : send stories to KMi Planet

  • Knowledge editors : maintain Planet ontology and the Planet knowledge base

  • Readers : read the Planet stories

  • Story submission

  • Story reading

  • Story annotation

  • Provision of customized alerts

  • Ontology editing

  • Story soliciting

  • Story retrieval and query answering


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What is myPlanet?

Ontological interest-profiling

Populating the ontology

myPlanet?

myPlanet: an ontology-driven Web-based personalised news service

  • web based newsletter by creating a profile based on an ontology.

  • to improve and ease ontology usability for web users by means of ontology-driven front-ends to personalized services.

  • to provide lightweight means for ontology maintenance triggered by users’ input by deploying IE techniques along with domain specific templates.


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Advantage of using ontology

Structure of interests

Ontological interest-profiling

myPlanet: an ontology-driven Web-based personalised news service

  • read only the e-Stories of their interest

  • reason about the categories selected by applying ontology-driven deductive heuristics

  • find implicitly related e-Stories

  • Research areas that are investigated in KMi

  • Research themes that are investigated in KMi

  • Organizations that KMi collborates with

  • Projects in KMi

  • Technologies used in KMi

  • Application domains that are investigated in KMi

  • People – members of the KMi lab


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String matching with cue phrases and cue words

Using OCML language

Ontological interest-profiling

myPlanet: an ontology-driven Web-based personalised news service

  • OCML supports the construction of knowledge models by means of several types of constructs.

  • It allows the specification and operationalization of functions, relations, classes and rules.

  • abstraction of the category that is associated with

  • evidence that e-Story which contains it is relevant to that category


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Example of myPlanet

myPlanet: an ontology-driven Web-based personalised news service

1


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Example of myPlanet

myPlanet: an ontology-driven Web-based personalised news service


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Template-driven information extraction

Populating the ontology

myPlanet: an ontology-driven Web-based personalised news service

  • domain specific templates

  • based on typology of events

  • ex) visiting-a-place-or-people, academic-conference, event-involving-project

  • key is the trigger word

  • ex) [ _, X, _, visited, Y, from, Z, _ ]


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Example of ontology population

myPlanet: an ontology-driven Web-based personalised news service

Visiting-a-place-or-people

[ _, X, _, visited, Y, from, Z, _ ]

Visitor: “AKT collaborating institutions”

Place: “Sheffield”

Date: January 29-31 2001”

(def-instance visit-of-akt-collaborating-institutions

visiting-a-place-or-people

((has-duration ‘3 days’)

(start-time january-29-2001)

(end-time january-31-2001)

(has-location sheffield)

(visitor akt-collaborating-institutions)))


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Extending type of output

Extending the usage of IE techniques with domain specific templates

Automation by deploying inductive learning algorithms

Avoidance of duplications or omissions of information

Ontology-based reasoning

Future work

myPlanet: an ontology-driven Web-based personalised news service

  • reason about the kind of output that will be dispatched to the user by analysing his/her profile

  • suggestions about potential collaborators on a research topic


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Thank you

myPlanet: an ontology-driven Web-based personalised news service