Posts Tagged ‘community-based ontology evolution’

Social Semantics, Hybrid Ontologies and the Tri-Sortal Internet

June 2, 2010

During the Semantic Data Management workshop at the European Semantic Web Conference 2010 in Crete, my former supervisor and lab director Robert Meersman gave a talk with a fresh vision on how we should tackle the mass of (meta)data about communities (enterprises, business webs), people, and systems (incl. documents and media) and the links in between them with real-world (business) semantics. This vision is also perfectly in line with the principles of IT democracy implemented by Collibra.

Here are the slides: MeersmanSemDataESWC.pdf

Business Semantics (a.k.a. ontologies) are indeed crucial to make sense out of this tri-sortal relationship. The Linked Open Data (LOD) initiative is an important first step to set free hidden data, and make access to it scalable. SPRQL endpoints however do not bring much human-driven sense to it. First visual analysis of the linked data cloud reveals the same non-linear graph structure as found in social networks. Hence there is indeed a tri-sortal dynamics.

Mash-ups  and other kinds of services based on LOD should not happen ad-hoc, but should serve the needs and goals of a community/business (Web). These include needs to interact socially between people (beyond Web 2.0), and computationally between information systems. Moreover, these services should not be only computationally consistent, trustworthy, and scalable (topics on which a large deal of the SemWeb is focusing), but also economically feasibly and profitable (an underestimated topic uniquely covered in our e3value research programme in our Business, Web and Media group at VU).

Social Performance in Collaborative Business Semantics Management

September 9, 2009

The “living” ontologies that will furnish the Semantic Web are lacking. The problem is that in ontology engineering practice, the underlying methodological and organisational principles to involve the community are mostly ignored. Each of the involved activities in the community-based ontology evolution methodology require certain skills and tools which domain experts usually lack. Finding a social arrangement of roles and responsibilities that must supervise the consistent implementation of methods and tools is a wicked problem. Based on three technology-independent problem dimensions of ontology construction, we propose a set of social performance indicators (SPIs) to bring insights in the social arrangement evolving the ontology, and how it should be adapted to the changing needs of the community. We illustrate the SPIs on data from a realistic experiment in the domain of competency-centric HRM.

Actions grouped per part of the ontology over time.

Actions grouped per part of the ontology over time.

The illustration here is a sneak preview of what’s to come. It is the analysis of an SPI that observes the balance between the human resources spent on the respective parts (computational\formal vs. substantial\informal parts) of the representation of individual concept types through time. This may indicate the need to adapt the social arrangement accordingly.  The actions are grouped per part of the ontology: G0 for the discussion part; G1 for the formal part; and G2 for the informal part. G3, 4 and 5 resp. for creating, deleting and moving concept pages. The graph shows three moments (i.e., 3/26; 4/2; and 4/23) where all groups peak. These moments indicate (i) an intermediary deadline for a new ontology version to be accepted, and (ii) and consequently a point where the domain is rescoped for another iteration of the ontology evolution cycle, resulting in a temporarily higher production. The initial scoping peak is the largest, while the following two peaks become gradually smaller. This indicates the ontology reaches a fixpoint as the final deadline approaches, as more concepts covering the domain become mature. There are two isolated peaks of actions on the formal parts in the second iteration: 29 actions on 2009-04-09 and 22 on 2009-04-16. This shift of balance between formal and informal actions is the result of a general request by the core domain expert to spent more resources on formalisation of core concept types.

The full experiment will be presented at and published by the International Semantic Web Conference (ISWC) 2009.

Full article: De Leenheer, P., Debruyne, C., Peeter, J. (2009) Towards Social Performance Indicators for Community-based Ontology Evolution. In Proc. of ISWC Workshop on Collaborative Construction, Management and Linking of Structured Knowledge (CK2008)

International Workshop on Community-Based Evolution of Knowledge-Intensive Systems

April 27, 2009

Vilamoura, Portugal: November 1-6, 2009

Proceedings will be published by Springer Verlag

Workshop Theme

COMBEK seeks to address the need for research that explores and embraces the novel, difficult but crucial issue of adapting knowledge resources to their user communities, and vice versa, as a fundamental property of knowledge-intensive internet systems. Through a deep understanding of the real-time, community-based, evolution of so-called ontologies, a knowledge-intensive system can be made operationally relevant and sustainable over long periods of time.

Basic principle of knowledge-intensive community systems is the co-evolution of (A) social interactions enabled by the community’s design; (B) the open applications development designated to support them; and (C) the semantic patterns to enable semantic interoperability between these applications.

By addressing the notion of “community” in this way, COMBEK hopes to innovate the science of ontology engineering and unlock the expected (and unavoidable) paradigm shift in knowledge-based and community-driven systems.  Such a paradigm would affect knowledge sharing and communication across diverse communities in business, industry, and society.  We are further convinced that being a part of the OnTheMove  conferences will turn a spotlight on the scientific issues addressed in COMBEK, making them visible and attractive to industry.

Workshop Goals

COMBEK is ready to transcend the current, narrow “ontology engineering” view on the change management of knowledge structures that is at the heart today’s knowledge-intensive systems. We will consider stakeholder communities as integral factors in the continuous evolution of the knowledge-intensive systems in which they collaborate. By bringing together researchers from different domains, COMBEK aims to advance research on a very broad spectrum of needs, opportunities, and solutions. COMBEK will be a forum for the discussion of next-generation knowledge-intensive systems and radically new approaches in knowledge evolution.

Topics of Interest

COMBEK goes wider than current practice by accepting explorations of new and alternative approaches from multiple relevant disciplines, including, but not limited to:

  • collaborative knowledge engineering
  • pragmatic web / pragmatic semantic unification
  • community-driven knowledge acquisition and sharing
  • ontology negotiation and argumentation
  • community-driven ontology evolution management
  • change impact analysis
  • lexical resources for ontology representation and disambiguation
  • context and ontologies
  • computer-mediated communication theories
  • community/communication modelling and discourse analysis
  • computer-supported cooperative work
  • human-computer confluence and interaction
  • social network analysis
  • community participation incentives
  • emergent semantics in communities
  • social tagging systems
  • learning ontology from folksonomies
  • applications and analysis of large online communities

COMBEK will provide a forum in which practitioners and researchers can meet, and exchange research and implementation ideas and results. It will give practitioners and researchers an opportunity to present their work and to take part in open discussions. Relevant topics include (but are not limited to) theoretical or empirical exploration and position papers on theory and method, as well as tool demonstrations, realistic case studies, and experience reports.

Important Dates

Abstract Submission Deadline: June 15, 2009
Paper Submission Deadline: June 29, 2009
Acceptance Notification : August 10, 2009
Camera Ready Due: August 25, 2009
Registration Due: August 25, 2009
OTM Conferences: November 1–6, 2009

Submission Guidelines

Papers submitted to COMBEK must not have been accepted for publication elsewhere or be under review for another workshop or conference.

All submitted papers will be evaluated by at least three members of the program committee, on the basis of originality, significance, technical soundness, and clarity of expression. Submissions must be in English, and may be either full papers or short papers, both of which may discuss industrial experience or academic research. Full papers should not exceed 5,000 words (excluding references and appendices) and should not exceed 10 pages in the final camera-ready format (see later). Short position papers are vision statements describing challenging future directions, critiquing research problems, and placing new research questions. Such submissions may be up to five pages in length and will also be peer-reviewed.

The paper submission site will be announced later. Meanwhile, you can contact Pieter De Leenheer (coordinates below) for further information.

Organizing committee

Programme Co-chairs

Pieter De Leenheer (primary contact)
Vrije Universiteit Brussel STARLab, Pleinlaan 2, 1050 BRUSSEL, Belgium
+32 2 629 37 50, This e-mail address is being protected from spambots. You need JavaScript enabled to view it

Martin Hepp
E-Business and Web Science Research Group, Bundeswehr University, Germany

Amit Sheth
Kno.e.sis Center, Wright State University, USA

Programme Committee

• Hugo Liu, MIT Media Labs, USA
• Natalya Noy, Stanford Center for Biomedical Informatics Research, USA
• Munindar P. Singh, North Carolina State University, USA
• Dragan Gasevic, Athabasca University, Canada
• Juan Carlos Fernandez-Ramil, University of Mons-Hainaut, Belgium / Open University, Milton Keynes, UK
• Christopher Thomas, Kno.e.sis Center, Wright State University, USA
• Andreas Schmidt, FZI Karlsruhe, Germany
• Alicia Diaz, Universidad Nacional de La Plata – LIFIA, Argentina
• Tom Mens, University of Mons-Hainaut, Belgium
• Mark Aakhus, Rutgers University School of Communication, Information, and Library Studie, USA
• Filippo Lanubile, University of Bari, Italy
• Aldo de Moor, Community Sense, The Netherlands
• Igor Mozetic, Jozef-Stefan Institute, Slovenia
• Davide Eynard, Politecnico di Milano, Italy
• Tanguy Coenen, STARLab, Vrije Universiteit Brussel, Belgium
• Stijn Christiaens, STARLab, Vrije Universiteit Brussel, Belgium
• Katharina Siorpaes, SEBIS, STI, University of Innsbruck, Austria
• Marta Sabou, Knowledge Media Institute, UK
• Denny Vrandecic, AIFB, Germany
• Konstantinos Kotis, AI-Lab , research group at University of the Aegean, Greece
• Valentin Zacharias, FZI Karlsruhe, Germany

HERE is the full website.