SMR 2006

1st International Workshop on

Semantic Matchmaking and Resource Retrieval:

Issues and Perspectives

Co-located with VLDB 2006
The Convention and Exhibition Center (COEX)
Seoul, Korea - September 11, 2006


Matchmaking is basically the process of discovering, based on a given request, promising partners for some kind of purpose. It is a process common to several scenarios in the Internet era, spanning from e-commerce to web-services, to grid computing, to human resource management, to actual dating services, to Peer-to-Peer computing. Both requests and partner descriptions are usually, but not always, given some kind of structure.

Obviously, main issues emerge when the search is not limited to identity matches but, as in real life, when the objective is finding partners suitable at least to some extent, or -- when a single partner cannot fulfill the request -- find a pool of cooperating partners able to accomplish it.
As this process may lead to various possible matches, the notion of ranking becomes central, to provide a list of potential partners ordered according to some criteria.

Due to the diversity of frameworks of application, matchmaking has been studied by several communities and it has been faced under various perspectives and techniques, including text-based information retrieval, vague query answering, planning, constraint programming, fuzzy logic, frame logic, and description logics reasoning. Also, different definitions and terminologies have been given to common matchmaking issues. Recently, the Semantic Web initiative has provided a spin towards logic-based approaches, which are still well far from being a "panacea" or a real "silver bullet", as several problems remain unsolved, such as the need for shared or at least integrated schemas, and the need for inferences smarter than standard ones.


Flourishing of schemas/languages : as more resources and services become available there has been a flourishing of proposed standards for schema descriptions and languages; which are the most promising towards the matchmaking processes?
Flourishing of matchmaking procedures : soundness? Several procedures and approaches have been recently proposed for matchmaking. Are they all sound? Do they scale when projected to real scenarios?
Advantages of annotating resources with respect to matchmaking : smarter matchmaking? Substitutability? Composition? Enriching the annotation of resources is really worth the effort? Which, if any, smart matchmaking services can we provide? How are composition and substitutability faced in the semantic matchmaking process?
Trade off between expressiveness of the annotation (or the schema) and complexity of matchmaking procedures : is the enrichment of expressivity worth the increase in complexity of matchmaking procedures? Do we really matchmake better than Google?
Diversity of approaches/terminology to common issues : different communities, but often researchers in the same community, use different terminology for the same matchmaking issues: full match, plug-in, gang matching, potential, partial...etc. Are they really different, to they share some meaning? In the Semantic Web era, can we find at least a common lexicon?
Novel scenarios application to matchmaking : e.g. ubiquitous computing : dynamic matchmaking needs new ideas for emerging scenarios, do we need matchmaking infrastructures, or ad hoc networks call for different, light, approaches?

The above cited are some of the issues that make the workshop timely.


Aims of the workshop are:
- Gather researchers from different communities and from both academia and industry to debate and find common ground on matchmaking issues.
- Present open and emerging issues, and possible solutions to matchmaking problems, which we summarize in the next section.
- Propose shared and acceptable methods to evaluate effectiveness of approaches to matchmaking.

Topics of interest include but are not limited to:


Authors are invited to submit original research contributions (not published or under consideration in other journals or conferences) on the topics of the workshop. All submissions must be in English. Submissions must clearly identify the nature of the paper as research, experience, or position. All submitted papers will be carefully evaluated based on originality, significance, technical soundness, and clarity of expression by three members of the Program Committee.

Authors should submit their papers in PDF format through the conference management system that can be accessed at

Submissions must not exceed 15 pages for full length papers and 6 8 pages for research-in-progress proposals (SHORT PAPERS) and must be formatted using templates available at

All accepted papers will be published as on-line proceedings of CEUR-WS vol. 178.
At the workshop, a hard copy of the proceedings will be handed out to the participants.

International Journal of Electronic Commerce - Special Issue: Semantic Matchmaking and Retrieval

Authors of selected papers will be invited to submit an extended version of their papers for inclusion in an upcoming IJEC - International Journal of Electronic Commerce Special Issue on Semantic Matchmaking and Retrieval

Important Dates

Program Committee

External Reviewers


Registration Process:

Keynote Talk

Industry Adoption of Semantic Web

Guo Tong Xie, Semantic Integration Department - IBM China Research Lab

Abstract: Data Semantics is becoming a more and more important topic for Information Management. Generating semantic metadata and publishing to its existing and potential consumers are viewed as a key step to information integration and information delivery. Further, if the semantic metadata and the data it described are made accessible and identifiable on the Web --- that is the vision of Semantic Web --- the way people and program access data will be deeply changed.
This presentation will talk about the trend of industry adoption of semantic web, and several usage scenarios of using semantic web technologies in metadata management, master data management and information integration areas. Finally, some challenges of applying semantic web technologies to real industry solutions will be discussed. [Slides Download]

Biography: Guo Tong Xie is a Research Staff Member in IBM China Research Lab. In 2003, Guo Tong Xie joined IBM China Research Lab after getting his master degree in computer science at Xi'an Jiao Tong University. During the past years, he played a key role in the research activities around Semantic Web technologies and drove the adoption of these technologies by open source community, industry standards, IBM software products and world wide research teams. He is leading the team to research on applying Semantic Web technologies into Information Integration and Metadata Management areas.

Final Program

09:20 - 09:30 Workshop Opening

09:30 - 10:30 Keynote

Industry Adoption of Semantic Web
Guo Tong Xie, Semantic Integration Department - IBM China Research Lab

11:00 - 12:30 Session 1

MOD - A Multi-Ontology Discovery System.
Duy Ngan Le, Minh Hang Tran and Angela Eck Soong Goh - Nanyang Technological University (NTU), Singapore

On the Topological Landscape of Web Services Matchmaking.
Hyunyoung Kil, Seog-Chan Oh and Dongwon Lee - Pennsylvania State University, USA

SPARQL-based OWL-S Service Matchmaking.
Mirza Pahlevi Said, Akiyoshi Matono and Isao Kojima - National Institute of advanced industrial science and technology, Japan

14:00 - 15:30 Session 2

Recovery of Faulty Web Applications through Service Discovery.
Mariagrazia Fugini and Enrico Mussi - Politecnico di Milano, Italy

A Non-Monotonic Approach to Semantic Matchmaking and Request Refinement in E-Marketplaces.
Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini - Politecnico di Bari; Università della Tuscia, Italy

A flexible model for Web service discovery.
Ruben Lara, Miguel Angel Corella and Pablo Castells - Tecnologìa, Informaciòn y Finanzas; Escuela Politécnica Superior, Universidad Autónoma de Madrid, Spain

16:00 - 17:00 Session 3

Helping Architects In Retrieving Architecture Documents: A Semantic Based Approach.
Rambabu Duddukuri and T.V. Prabhakar - Oracle India Private Ltd; Indian Institute of Technology Kanpur, India

Semantic Matchmaking using Ranked Instance Retrieval.
Matthias Beck and Burkhard Freitag - University of Passau, Germany

Semantic-based Taxonomic Categorization of Web Services.
Miguel Angel Corella and Pablo Castells - Escuela Politécnica Superior, Universidad Autónoma de Madrid, Spain

17:00 - 18:00 Roudtable

Moderator: TBA

Participants: TBA


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