Intelligent Database Systems Lab

Presenter: WU, JHEN-WEI

Authors: Rodrigo RizziStarr, Jose´ Maria Parente de Oliveira

2013. IS

Concept maps as the first step in an ontologyconstruction method

Intelligent Database Systems Lab

Outlines

MotivationObjectivesMethodologyExperimentsConclusionsComments

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Motivation

• The use of ontologies is still hindered by the knowledge acquisition bottleneck.

• Previous methodologies do not focus on the specific problem of how to reduce the need of interaction between the knowledge engineer and the expert.

3 簡單的本體示例

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Objectives

• Ease the task of the knowledge engineer, especially in the context of knowledge acquisition for knowledge management system.

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Methodology

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3.1.1. Classes, individuals and relations

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• Every linking phrase is a candidate relation and that every concept that is connected to a linking phrase may be a class or an individual.

3.1.2. Inverse properties• The arrows point towards reverse directions and

every concept that is on the right side of one of them must be on the left side of the other, and vice versa.

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3.1.3. Transitive properties

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3.1.4. Enumerations• Some classes may be defined by enumeration.

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3.1.5. Generalization and instantiation

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3.1.6. Noun phrases• Noun phrases which may hint at a taxonomic

relationship.

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3.1.7. Functional properties• Describe objects attributes and as part of more

complex expressions to describe classes.

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3.1.8. Different individuals• Since the unique name assumption in not valid in

OWL, it is necessary to specify explicitly when individuals are in fact different.

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3.1.9. Disjoint classes• This one is equivalent to the previous heuristic, except

that it deals with classes instead of individuals.

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3.1.10. Mereologic relationships• The heuristic that searches mereologic relations uses

a dictionary.

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3.1.11. Dictionaries and corpus

• By ‘‘dictionary’’ it is meant a list of regular expressions matching possible linking phrases.

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Experiments

1. Will domain experts consider concept maps as an acceptable knowledge representation means?

2. Will domain experts consider the use of the conversion application acceptable?

3. Do domain experts consider that the process can be done in an unsupervised mode?

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Experiments

• Each interview was composed of basically six parts:1) Introduction to the experiment2) Training in ontologies, concept mapping and

basic OWL concepts3) Focus question creation4) Concept map creation5) Support application usage6) Answering the questionnaire

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Experiments

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Experiments

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Experiments

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Conclusions

• Concept maps are a viable way for experts to interact with a knowledge acquisition tool and that the concept proposed for the support application is also viable.

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Comments

• Advantages– Facilitate the creation of several concept maps.– Study of more heuristics to be used to convert

from concept maps representations to ontological constructs.

• Applications– Expression for the expert.

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