AUTOMATIC WEB SERVICE COMPOSITION WITH AI PLANNING A THESIS

143 Pages·2009·2.08 MB·English

AUTOMATIC WEB SERVICE COMPOSITION WITH AI PLANNING

A THESIS SUBMITTED TO
THE GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES
OF
MIDDLE EAST TECHNICAL UNIVERSITY

BY

MEHMET KUZU

IN PARTIAL FULFILLMENT OF THE REQUIREMENTS
FOR
THE DEGREE OF MASTER OF SCIENCE
IN
COMPUTER ENGINEERING

JULY 2009

i
Approval of the thesis:

AUTOMATIC WEB SERVICE COMPOSITION WITH AI PLANNING

submitted by MEHMET KUZU in partial fulfillment of the requirements for the
degree of Master of Science in Computer Engineering Department, Middle East
Technical University by,

Prof. Dr. Canan Özgen _______________
Dean, Graduate School of Natural and Applied Sciences

Prof. Dr. M üslim Bozyiğit _______________
Head of Department, Computer Engineering

Assoc. Prof. Dr. Nihan Kesim Çiçekli
Supervisor, Computer Engineering Dept., METU _______________

Examining Committee Members:

Assoc. Prof. Dr. Ali Doğru
Computer Engineering Dept., METU _____________________

Assoc. Prof. Dr. Nihan Kesim Çiçekli
Computer Engineering Dept., METU _____________________

Assoc. Prof. Dr. Halit Oğuztüzün
Computer Engineering Dept., METU _____________________

Asst. Prof. Dr. Pınar Şenkul
Computer Engineering Dept., METU _____________________

Dr. Gökçe Banu Laleci Ertürkmen
SRDC, METU _____________________

Date: 27.07.2009

i i
I hereby declare that all information in this document has been obtained and
presented in accordance with academic rules and ethical conduct. I also declare
that, as required by these rules and conduct, I have fully cited and referenced
all material and results that are not original to this work.

Name, Last name: Mehmet Kuzu
Signature :

ii i
ABSTRACT
AUTOMATIC WEB SERVICE COMPOSITION WITH AI
PLANNING
Kuzu, Mehmet
M.S., Department of Computer Engineering
Supervisor: Assoc. Prof. Dr. Nihan Kesim Çiçekli

July 2009, 129 pages
In this thesis, some novel ideas are presented for solving automated web service
composition problem. Some possible real world problems such as partial
observability of environment, nondeterministic effects of web services, service
execution failures are solved through some mechanisms. In addition to automated
web service composition, automated web service invocation task is handled in this
thesis by using reflection mechanism. The proposed approach is based on AI
planning. Web service composition problem is translated to AI planning problem
and a novel AI planner namely “Simplanner” that is designed for working in highly
dynamic environments under time constraints is adapted to the proposed system.
World altering service calls are done by conforming to the WS-Coordination and
WS-Business Activity web service transaction specifications in order to physically
repair failure situations and prevent undesired side effects of aborted web service
composition efforts.
Keywords: Automatic Web Service Composition, Automatic Web Service
Invocation, Semantic Web Services, AI Planning
iv
ÖZ
YAPAY ZEKA PLANLAMA TEKNİKLERİ İLE OTOMATİK WEB
SERVİS BİLEŞİMİ

Kuzu, Mehmet
Yüksek Lisans, Bilgisayar Mühendisliği Bölümü
Tez Yöneticisi: Doç. Dr. Nihan Kesim Çiçekli

Temmuz 2009, 129 sayfa
Bu tezde, otomatik örün servis birleşimi problemini çözmek için bazı yenilikçi
düşünceler sunulmuştur. Çevrenin kısmen algılanabilirliği, örün servislerinin belirsiz
etkileri, servislerin uygulama anı hataları gibi bazı gerçek hayat problemleri
birtakım yöntemler aracılığı ile çözülmüştür. Otomatik örün servis birleşimine ek
olarak, otomatik örün servis yürütme işlemi de dinamik programlama özellikleri
kullanılarak bu tez kapsamında ele alınmıştır. Önerilen yaklaşım tarzı, yapay zekâ
planlama tekniğine dayalıdır. Örün servisleri birleşimi problemi, yapay zekâ
planlama problemine dönüştürülmüş; son derece dinamik ortamlarda ve zaman
kısıtlaması altında çalışmak için tasarlanmış yenilikçi bir yapay zekâ planlama aracı
olan "Simplanner" sisteme uyarlanmıştır. Çevresel değişim etkileri olan servis
çağrıları, WS-Coordination ve WS-Business Activity örün servis hareketleri
tanımlamalarına uygun olarak gerçekleştirilmektedir. Böylece hatalı durumların
fiziksel onarımı yapılıp, yarıda kesilen örün servis birleşim denemelerinin
istenmeyen yan etkileri ortadan kaldırılmıştır.
Anahtar Kelimeler: Otomatik Örün Servis Birleşimi, Otomatik Örün Servis
Tetiklenmesi, Anlamsal Örün Servisleri, Yapay Zekâ ile Planlama
v
To my family
v i
ACKNOWLEDGEMENTS
I would like to express my sincere gratitude and appreciation to my supervisor
Assoc. Prof. Dr. Nihan Kesim Çiçekli for her endless encouragement and support
throughout this study. I am very lucky that I have such a friendly, intellectual,
patient and benignant supervisor.
I would like to thank Assoc. Prof. Dr.Nilufer Önder who gave me invaluable
suggestions about my thesis. I want also thank to Çağla Okutan and Ertay Kaya who
work on the same subject and helped me a lot for overcoming difficulties.
I am deeply grateful to my parents who devoted their life to their children and my
brother Ali Cem for their love and support. Without them, this work could not have
been completed.
I am deeply indebted to my friends, Gökhan Yaprakkaya, Hüseyin Yılmaz, Kurtçebe
Eroğlu, Çağlar Şenaras, Özgür Karaaslan, Nedim Ozan Tekin and all the other
colleagues at HAVELSAN whose suggestions and encouragement helped me a lot
during my study.
I would thank the Scientific and Technological Research Council of Turkey
(TÜBİTAK) for providing the financial means throughout this study.
Finally, my special thanks go to Asst. Prof. Dr. Oscar Sapena who is the creator of
Simplanner that is the most important component of this thesis. He answered all my
questions with patience and clarifies all the obscure points in my mind.

vi i
TABLE OF CONTENTS
ABSTRACT ............................................................................................................... iv
ÖZ ............................................................................................................................... v
ACKNOWLEDGEMENTS ...................................................................................... vii
TABLE OF CONTENTS ......................................................................................... viii
LIST OF FIGURES.................................................................................................... xi
CHAPTERS
1 INTRODUCTION .............................................................................................. 1
2 BACKGROUND INFORMATION AND RELATED WORK ...................... 10
2.1 Background Information ........................................................................ 10
2.1.1 Web Services ................................................................................. 10
2.1.2 OWL-S .......................................................................................... 13
2.1.3 AI Planning ................................................................................... 15
2.1.4 PDDL ............................................................................................ 16
2.1.5 Web Service Composition ............................................................. 17
2.2 Previous Works with Similar Approaches .............................................. 23
2.2.1 Web Service Composition with SHOP2 HTN Planner ................. 23
2.2.2 Web Service Composition with OWLS-XPLAN ......................... 24
2.2.3 Web Service Composition with WSPLAN ................................... 25
vi ii
2.2.4 IBM’s Service Creation Environment Based on End to End
Composition of Web Services .......................................................... 26
3 OVERALL SYSTEM ARCHITECTURE .................................................... 28
3.1 Motivating Example ................................................................................ 28
3.2 System Architecture ................................................................................ 33
3.2.1 Preprocessing Phase ...................................................................... 34
3.2.2 Planning Phase .............................................................................. 35
3.2.3 Action Handling Phase .................................................................. 37
3.2.4 Execution Phase ............................................................................ 38
3.2.5 Unexpected Event Handling Phase ............................................... 40
3.3 OWL-S/PDDL Mapping ......................................................................... 41
4 AUTOMATED WSC WITH SIMPLANNER .............................................. 49
4.1 Introduction to Simplanner ..................................................................... 49
4.2 Simplanner Application to WSC Domain ............................................... 55
4.2.1 Problem Statement to the Simplanner ........................................... 56
4.2.2 Planner – Execution Component Integration ................................ 60
4.2.3 Execution Component and Its Integration with Unexpected Event
Handler Component ......................................................................... 64
4.2.4 Unexpected Event Handler Component and Its Integration with
Planner .............................................................................................. 67
4.3 Advantages of Using Simplanner for WSC Domain .............................. 69
5 AUTOMATED SERVICE INVOCATION ISSUES ................................... 73
ix
5.1 Automated Service Invocation ................................................................ 73
5.2 Logical/Physical Map .............................................................................. 82
5.3 Action Caching Mechanism .................................................................... 85
6 TRANSACTION ISSUES FOR WEB SERVICE COMPOSITION ............ 90
6.1 WS-Transaction Frameworks.................................................................. 91
6.2 Integration of WS-Transaction Frameworks to the Proposed System .... 96
7 CASE STUDY: TRAVEL DOMAIN ......................................................... 102
7.1 Case 1: Information Unavailability ....................................................... 103
7.2 Case 2: Service Unavailibality .............................................................. 109
8 CONCLUSIONS AND FUTURE WORK ................................................. 114
REFERENCES ........................................................................................................ 118
APPENDIX A TRAVEL ONTOLOGY ............................................................ 125

x