GODO: Goal driven orchestration for Semantic

Web Services

… or how do spells work in the XXI century

Juan Miguel Gomez, Mariano Rico, Francisco Garcia and Christoph Bussler

Digital Enterprise Research Institute

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Outline

• Introduction• SWS and Goal Driven Orchestration• The GODO architecture• The travel plan use case• Future research and directions

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Introduction

• For centuries, mankind has looked for a way of making their wishes come true just stating them– Ancient story of the Middle East. “Then Al – Hadin,

son of Harun Al-Raschid commanded the genius to bring him one thousand million treasures… and so he did”, The 1001 nights. Robert Graves edition.

– Middle Age: Luciano from Samosata famous mirror, which could be asked for anything on earth.

– Present: Paris FNAC example– Future: There comes the robots…

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Some promises of SWS• In WSMO/ WSMX a goal represents the

wish that a client may have when he consults a web service and it also contains a list of preferences

• These preferences represent constraints on non-functional properties of a web service i.e. they narrow the scope of the selection spectrum of a web service

• WSMX promises that given a certain WSMO goal described in WSML, it can achieve it

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Goal driven orchestration

• We assume for now that a goal is a single-step execution

• Orchestration is the achievement of several goals by performing all their objectives

• How can we bridge the gap between the client expressing their wishes and the achievement of them by the WSMX platform?

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GODO functionality

• GODO uses Natural Language Processing techniques (e.g. Multiple classification ripple down rules) to filter the different concepts and relationships of the text to create a “lightweight ontology”

• The user writes down their goals in natural language and they are extracted from the text

• Those goals are matched and mapped to the WSMO / WSMX goals

• Those goals are sent to the WSMX

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The GODO Architecture

GODO Control ManagerGUI

Language Analyzer

Goal Matcher

WSMLGoal

WSMLGoalGoal

Loader

WSMOgoal

repository

Network

Goal Sender

User wish andgoal text

Figure . The GODO architecture

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The travel plan use case (I)

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The travel plan use case (II)

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GODO demo

• Much more fun in the demo… • Do not miss it

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Future research and directions

• Main problem is the pure syntactical match from goals extracted from the text and WSML goals

• However, several useful tools out there: – The Karlsruhe TextoOnto supports semi-automatic

creation of ontologies by applying text mining algorithms

– The OntoText Knowledge Information Management (KIM) platform. KIM enables Semantic annotation of text and at more length, an automatic ontology population and open-domain dynamic semantic annotation of unstructured and semi-structured content.

• By using them it could be possible a match at a semantic level (ontologies merging and alignment techniques)

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Future research and directions

• Future evolution of WSMO Orchestration will impact in our perception of orchestration so far

• We received some enthusiastic feedback from people of the cluster, so let’s expect soon GODO 2.0

Q & A