use of UDDI to publish data of semantic web

1
use of UDDI to publish data of semantic web

Anton Naumenko, Sergiy Nikitin, Vagan Terziyan,
Jari Veijalainen
Industrial Ontologies Group, Department of
Mathematical Information Technology, University
of Jyväskylä, FINLAND Information Technology
Research Institute, Faculty of Information
Technology, University of Jyvaskyla, FINLAND
Jyväskylä, Finland
27 August   2005,
2
ASG project
Combine the Services

• Interlock
• the performance-oriented
• grid community
• and
• the application-services-oriented
• W3C-world
• using
• the advantages of
• - Open Grid Service Interface
• - Web Service Description Language
• and
• Web Service Resource Framework
• to develop an
• Open Platform for adaptive services
• discovery, creation, composition, and
• enactment with business-oriented
• Quality of Service functionality
• Adaptive Services Grid

asg-platform.org / info_at_asg-platform.org
3
Scenarios

• Three application areas
• Telecommunication
• Car Problem Solving Service
• Enterprise IT
• Common in these scenarios is the need to create
  advanced services, based on service components
  from different actors.

4
Milestone M12

• Deliverables are research reports
• requirements analysis results
• evaluation of existing efforts
• initial conceptual results

5
Milestone M18

• The most important conceptual results have been
  prototypically implemented in tools integrated to
  build the core ASG platform.
• Deliverables of this milestone
• research reports
• prototypical tool implementations
• scenarios

6
Big picture
to develop a proof-of-concept prototype of an
open development platform for adaptive services
discovery, creation, composition, and enactment.

• Work Packages
• Project Management (C-0)
• ASG Interface (C-1)
• Service Discovery Composition (C-2)
• Service Creation (C-3)
• Adaptive Process Management (C-4)
• Services Grid Infrastructure (C-5)
• ASG Development Methodology (C-6)
• Usability and Demonstration (C-7)
• Dissemination (C-D)

7
Place of the Registry
8
ASG project

• Role of the Registry in composed service
  invocation

9
Smart Resource 2005 Scenario
Expert
Knowledge Transfer from Expert to Service
Labelled data
Watching and querying diagnostic data
Querying diagnostic results
Device
Service
Labelled data
History data
Querying data for learning
Learning sample and Querying diagnostic results
Diagnostic model
10
GUN Concept
All GUN resources understand each other
11
Objective

• Use of UDDI registry to publish Semantic Web data
• for semantic-based description,
• discovery
• integration of web resources in a context of
  needs of two research projects Adaptive
  Services Grid (ASG) and SmartResource

12
Approach

• Mapping of RDFS upper concepts to UDDI data model
  using tModel structure, which makes possible to
  store semantically annotated resources internally
  in UDDI
• UDDI as an enabling specification for creation of
  a semantic registry for web resources in general

13
Semantic Annotation

• A description of entities using Semantic Web
  standards
• A prerequisite to allow semantic discovering and
  integration.
• In the context of UDDI, an entity of the semantic
  annotation would be a Web Service and businesses,
  business services and technical information that
  is a target of a binding.
• Consider each resource entity (not just a web
  service) as a subject of the semantic annotation,
  registering, discovering, composition, enactment,
  integration, etc.

14
Related work 1

• Solution extends service descriptions using RDF
  and changes UDDI APIs for support of semantic
  search.

L. Moreau, S. Miles, J. Papay, K. Decker, T.
Payne, Publishing Semantic Descriptions of
Services, Semantic Grid Workshop at GGF9, 2005
15
Related work 2

• UDDI server
• introduces additional elements like
• a matchmaker,
• an ontology repository,
• a proxy API to invoke UDDI APIs.
• Mapping of DAML-S to UDDI publish message
• Unchanged UDDI Publish and Inquiry interface

S. Pokraev, J. Koolwaaij, M. Wibbels, Extending
UDDI with Context-Aware Features Based on
Semantic Service Descriptions, Proceedings of
the International Conference on Web Services,
ICWS '03, June 23 - 26, 2003, Las Vegas, Nevada,
USA. CSREA Press 2003, ISBN 1-892512-49-1, pp.
184-190
16
Related work 3

• A semantic search based on an externally created
  and operated matchmaker
• Semantic data are stored outside of UDDI
• a link from tModel of a Web Service in UDDI to
  its Web Service Semantic Profile (WSSP).
• WSSP serves as the semantic annotation of a
  service and extends WSDL description of the
  service using RDF, RDFS, DAMLOIL or OWL,
  RDF-RuleML

M. Paolucci, T. Kawamura, T.R. Payne, K. Sycara,
Importing the Semantic Web in UDDI,
Proceedings of E-Services Semantic Web Workshop
(ESSW 2002), 2002
17
Related work 4

• A mapping of an OWL-S profile to the UDDI data
  model for a matchmaker architecture based on the
  Paoluccis results (previous slide)
• The difference from our approach
• OWL-S concepts to UDDI concepts
• RDF triplet model to a data structure of tModel

N. Srinivasan, M. Paolucci, K. Sycara, An
Efficient Algorithm for OWL-S Based Semantic
Search in UDDI Semantic Web Services and Web
Process Composition, First International
Workshop, SWSWPC 2004 96-110
18
UDDI
is the specification of services to provide
publishing and discovery of business,
organizations and other Web Service providers,
their Web Services and technical interfaces to
enact those services. (UDDI Specification)
19
tModel Structure

• Characteristics
• provides a reference system based on abstraction
• provides the ability to describe compliance with
  specifications, concepts, or even shared design
• is a keyed entity in UDDI

Name  Use 
tModelKey required
Name  Use 
tModelKey required
keyName optional
keyValue required
20
Mapping SPO to UDDI
Predicate
Subject
Object
Name  Use 
tModelKey required
Name  Use 
tModelKey required
keyName optional
keyValue required
21
Mapping SPO to UDDI
Predicate
Subject
Object
Name  Use 
tModelKey required
Name  Use 
tModelKey required
keyName optional
keyValue required
22
Mapping SPO to UDDI(2)
Predicate
Subject
Object
Name  Use 
tModelKey required
Name  Use 
tModelKey required
keyName optional
keyValue required
23
Mapping SPO to UDDI(3)
Predicate
Subject
Object
Name  Use 
tModelKey required
Name  Use 
tModelKey required
keyName optional
keyValue required
24
XML view
25
Publishing of RDF-Schema concepts
26
New concepts
27
Conclusions

• UDDI has enough support for the registration of
  semantically annotated resources
• SmartResource project can use UDDI to implement
  Notice Boards for registering semantically
  annotated resources
• Publishing ASG service and domain ontology to
  UDDI can be performed based on publishing of WSMO
  to UDDI
• Have to elaborate API to support semantic
  discovery of registered resources
• Navigable structure

28
Future Work

• Further research is needed to elaborate semantic
  discovery algorithms and UDDI APIs based on
  proposed way of storing semantics in UDDI

29
Thank you! Questions please