studi penerapan ontologi dalam bahasa inggris sebagai kerangka

Studi Penerapan Ontologi dalam Bahasa Inggris sebagai Kerangka Pengembangan Ontologi Bahasa Indonesia

NIM 11110006 Sahat Manahan Sinaga

NIM 11110013 Andi Parlindungan

TampubolonNIM 11110069 Metilova Sitorus

Kelompok TA-TI-01

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Overview1. Introduction•Background•Objective •Scope•Approach2. Literature Overview•Ontology•Building Ontology•Methodology•Languages•Tool3. Analysis•Description of Case Study•Step by Step Building Ontology•Result of Case Study4. Achievement and Conclusion5. Follow Up Plan

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Studi Penerapan Ontologi dalam Bahasa Inggris sebagai - Del Politechnic of Informatic

Introduction

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Ontology Ontology is a formal explicit description of

concepts in a domain of discourse (classes (sometimes called concepts)), properties of each concept describing various features and attributes of the concept (slots (sometimes called roles or properties)), and restrictions on slots (facets (sometimes called role restrictions)) .

~ The Artificial-Intelligence

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Background•Developing an ontology is a process of defining a set of data and their structure for other programs to use.

•Problem-solving methods, domain-independent applications, and software agents use ontologies and knowledge bases.

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Background•For example, an ontology of wine and

food and appropriate combinations of wine with meals. This ontology can be used as a basis for some applications in a suite of restaurant-managing tools

•Ontology is important for system supporting and accurate.

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05/02/23Studi Penerapan Ontologi dalam Bahasa Inggris sebagai - Del Politechnic of Informatic

ObjectiveStudying and explore application of

ontology in English as based fordeveloping of Indonesian Ontology

structure.

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Scope•Study literature about application of ontology in English

•The result of study literature will be an important lesson to develop ontology in Indonesian.

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Approach•Literature review•Study literature•Tools Exploration•Analysis•Conclusion and Documentation

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Library Overview

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Ontology•Ontology is a formal explicit description of

concepts in a domain of discourse (classes (sometimes called concepts)), properties of each concept describing various features and attributes of the concept (slots (sometimes called roles or properties)), and restrictions on slots (facets (sometimes called role restrictions)) .

~ The Artificial-Intelligence

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Building Ontology7 steps building ontology:•Determine the domain and scope of the

ontology.•Consider reusing existing ontologies.•Enumerate important terms in the ontology.•Define the classes and the class hierarchy.•Define the properties of classes-slots.•Define the facets of the slots.• Create instances.

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Methodology•None of the methodologies are fully

mature•After comparing IEEE standard to others

methodologies, Methontology Methodology is the most mature.

•Three categories of activities in Methontology Methodology, namely:- Project Management Activities include planning, control and quality assurance.

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Methodology- Development-Oriented Activities include specification, conceptualization,

formalization and implementation.- Support Activities include a series of

activities, performed at the same time as development-oriented activities, without which the ontology could not be built.

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LanguagesThere are five kind of Languages to

expressOntology in real notation:•XML•XML Schema•RDF•RDF Schema (RDFS)•OWL

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ToolsThere are number of environments and tools tobuild ontology has grown exponentially.Protégé• Developed by the Stanford Medical

Informatics (SMI) at StanfordUniversity

• It is an open source, standalone application with an extensible architecture.

• The core of this environment is the ontology editor, and it holds a library of plugins that add more functionality to the environment.

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Analysis

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Description of Case StudyStudent Personalization provide student’sinformation such us personal data, class,

major,description of major etc.

Constraint in this case study is the ontology not

provide detail and full information. This ontology

is a simple for exploration tool.

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Step by Step Building OntologyDetermine Scope

1.Domain: Students Personalization2.Purpose: Provide information about

student’s personal data.3. Kind of question that should be answer by

the ontology: Who is the student’s classmate? What majors each students get?

4. User: Teacher and StaffConsider Reuse: Not use another related

ontology.

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Step by Step Building Ontology20

Step by Step Building OntologyDefine Taxonomy•Class•Student•Teacher•Subject•Person

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Step by Step Building OntologyDefine Properties

No Property Name Domain Range Description1 has_Address Lecturer,

StudentString Data type property

2 has_gender Lecturer, Student

String Data type property

3 Credit Subject Int Data type property4 has_className Class String Data type property5 has_date_of_birth Lecturer,

StudentDate Data type property

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Step by Step Building OntologyNO Property Name Domain Range Description

6 has_firstName Lecturer, Student


7 has_lastName Lecturer, Student


8 has_phoneNumber

Lecturer, Student


9 has_studentID Student String Data type property10 has_teacherID Lecturer String Data type property11 has_subjectID Subject String Data type property12 has_subjectNa

meSubject String Data type property

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Step by Step Building OntologyNO Property Name Domain Range Description

13 deliver_subject

Lecturer Class Inverse of learn_subject

14 attends_class Student Class Inverse of is_attended15 is_attended Class Student Inverse of attends_class16 is_studied_in Subject Class Inverse of study_about17 is_tought_by Student Lecturer Inverse of teach_student18 learn_subject Student Subject Inverse of

deliver_subject19 study_about Class Subject Inverse of is_studied_in20 teach_student Lecturer Student Inverse of is_tought_by

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Step by Step Building Ontology•Define FacetsSingle cardinalityMultiple cardinalityValue type: string, Boolean, number,

enumerated.

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Step by Step Building Ontology• Define Instance

Instance dari student : Mei Samosirhas_Address : has_gender : Perempuanhas_className : 1Ahas_date_of_birth: has_firstName : Meihas_lastName : Samosirhas_phoneNumber :has_studentID : 11112003learn_subject : IF311111 IF311112 IF311314 IF311317is_thougth_by : 0011223344 0108037601

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Result of Case Study

A. Hierarfchi Ontologi Students DataB. Tag Format .rdf-xml

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Result A28


Result B

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Result B30


Achievement and Conclusion

•We can build an ontology using Protégé according to seven steps that explained in Ontology Development 101: A Guide to Creating Your First Ontology

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Achievement and Conclusion

•We can build an ontology using Protégé according to seven steps that explained in Ontology Development 101: A Guide to Creating Your First Ontology

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Follow Up Plan•Exploration GATE

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References[1] Natalya F.Noy and L.McGuinness Deborah.

Ontologi Development 101: A Guide to Creating Your First Ontologi. Stanford University

[2] Omoronyia Inah, Sindre Guttorm, Stalhane Tor, Biffl Stefan, Moser Thomas, and Sunindyo Wikan. A Domain Ontologi Building Process for Guiding Requirements Elicitation, Norwegian University of Science and Tecnology, Vienna University of Technology

[3] Massacci Fabio, Mylopoulos John, Zannone Nicola. An Ontologi for Secure Socio-Technical Systems.

[4] Jing Mei, Li Ma, Yue Pan. Ontologi Query Answering on Databases. Department of Information Science. Peking University



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References (cont)[5] Corcho Oscar, Mariano Fernandez-Lopez, Asuncion

Gomez-Perez: 2002. Methodologies, tools and languages for building ontologies. Where is their meeting point? Madrid.

[6] Fernandez Lopez, M. Overview of Methodologies for Building Ontologies.

[7] L. Yu, Introduction to the Semantic Web and Semantic Web Service. Chapman & Hall/CRC,2007

[8] Wicaksana Wayan Simri. SURVEI DAN EVALUASI METODE PENGEMBANGAN ONTOLOGI. Universitas Gunadarma.2004.

[9] Sikorski Lukas, Bastian Haarmann, Ravi Coote.Ontologi-Driven Information Extraction.



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THANK YOU

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studi penerapan ontologi dalam bahasa inggris sebagai kerangka

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