Call for Research Track Papers

The 19th International Conference on Knowledge Engineering and Knowledge Management is concerned with all aspects of eliciting, acquiring, modeling and managing knowledge, and its role in the construction of knowledge-intensive systems and services for the semantic web, knowledge management, e-business, natural language processing, intelligent information integration, personal digital assistance systems, and so forth.

The special focus of this year's EKAW will be on diversity. In the recent past the amount and ease of availability of data has dramatically increased. While scale and complexity of information has always attracted attention, its heterogeneity in nature and usage are only now being investigated more systematically. Data-driven research is gaining increasing visibility in areas such as in eScience or eHumanities, but such distinct fields require diverse knowledge management and acquisition methods. Knowledge in the Cultural Heritage domain radically differs from what is required to run a global company or support projects in the developing world. The geosciences produce and consume data spanning a wide range of formats, topics, perspectives, and sources, and require the integration of such heterogeneous data to foster data sharing, access, retrieval, and reuse, without restricting semantic heterogeneity. EKAW 2014 will put a special emphasis on this diversity of knowledge and its usage.

The proceedings of the research track will be published by Springer Verlag in the LNCS series.

EKAW 2014 welcomes papers dealing with theoretical, methodological, experimental, and application-oriented aspects of knowledge engineering and knowledge management. In particular, but not exclusively, we solicit papers about methods, tools and methodologies relevant with regard to the following topics:

  1. "Knowledge in a diverse world"
    • Methods and methodologies addressing the challenges of diversity, such as:
      • Semantic heterogeneity
      • Semantic Interoperability
      • Scalability, robustness, etc.
      • Multi-perspecitve data
      • Semantic mediation
      • Ontology and vocabulary matching and alignment
      • Data-driven ontology engineering
      • Privacy and data security
      • Data reuse
      • Maintenance costs and financial risks
    • Lessons learned from case studies, e.g.:
      • Knowledge management in large organizations
      • Adoption of semantic web technologies
      • Maintenance of corporate knowledge repositories
      • Applications in domains such as
        • eGovernment and public administration
        • Life sciences, health and medicine
        • Humanities and Social Sciences
        • Automotive and manufacturing industry
        • Cultural heritage
        • Digital libraries
        • Geosciences
        • ICT4D (Knowledge in the developing world)
  2. Knowledge Management
    • Methodologies and tools for knowledge management
    • Knowledge sharing and distribution, collaboration
    • Best practices and lessons learned from case studies
    • Provenance and trust in knowledge management
    • Methods for accelerating take-up of knowledge management technologies
    • Corporate memories for knowledge management
    • Evolution, maintenance and preservation of knowledge
    • Web 2.0 technologies for knowledge management
    • Incentives for human knowledge acquisition (e.g. games with a purpose)
  3. Knowledge Engineering and Acquisition
    • Tools and methodologies for ontology engineering
    • Ontology design patterns
    • Ontology localization
    • Ontology alignment
    • Knowledge authoring and semantic annotation
    • Knowledge acquisition from non-ontological resources (thesauri, folksonomies etc.)
    • Semi-automatic knowledge acquisition, e.g., ontology learning
    • Mining the Semantic Web and the Web of Data
    • Ontology evaluation and metrics
    • Uncertainty and vagueness in knowledge representation
    • Dealing with dynamic, distributed and emerging knowledge
  4. Social and Cognitive Aspects of Knowledge Representation
    • Similarity and analogy-based reasoning
    • Knowledge representation inspired by cognitive science
    • Synergies between humans and machines
    • Knowledge emerging from user interaction and networks
    • Knowledge ecosystems
    • Expert finding, e.g., by social network analysis
    • Trust and privacy in knowledge representation
    • Collaborative and social approaches to knowledge management and acquisition
    • Crowdsourcing in knowledge management

We will accept different types of papers. The papers will all have the same status and follow the same formatting guidelines in the proceedings but will receive special treatment during the reviewing phase. In particular, each paper type will be subject to own evaluation criteria. The Programme Committee will also make sure that there is a reasonable balance of the paper types accepted. At submission time the paper has to be clearly identified as belonging to one of the following categories.

  • Research papers: These are "standard" papers presenting a novel method, technique or analysis with appropriate empirical or other types of evaluation as a proof-of concept. The main evaluation criteria here will be originality, technical soundness and validation.
  • In-use papers: Here we are expecting papers describing applications of knowledge management and engineering in real environments. Applications need to address a sufficiently interesting and challenging problem on real-world datasets, involving many users etc. The focus is less on the originality of the approach and more on presenting systems that solve a significant problem while addressing the particular challenges that come with the use of real-world data. Evaluations should involve a representative subset of the actual users of the system.
  • Position papers: We invite researchers to also publish position papers which describe novel and innovative ideas. Position papers may also comprise an analysis of currently unsolved problems, or review these problems from a new perspective, in order contribute to a better understanding of these problems in the research community. We expect that such papers will guide future research by highlighting critical assumptions, motivating the difficulty of a certain problem or explaining why current techniques are not sufficient, possibly corroborated by quantitative and qualitative arguments.


1. EKAW only submissions:

Submissions of research and in-use papers should be formatted according to Springer Verlag LNCS format and guidelines, not exceed 15 pages, and uploaded using Easychair ( Position papers are required to have at most 5 pages in the same format.

Full paper submission guidelines: (only if abstracts were submitted in easychair at the abstract submission deadline)

Upload full version via easychair.

2. Combined conference/journal (fast-track) submission:

Note: for the research papers only (see categories above).

In addition to the regular conference submission, we offer authors the possibility to submit their work to a combined conference/journal submission track. Papers submitted via this track will be published as regular research paper in the EKAW 2014 Springer conference proceedings; an extended version of the paper will be published as a full journal paper at the Semantic Web journal (SWJ) by IOS Press.

The deadline and Easychair submission system for the combined submission is the same as for the conference-only track. Authors interested in the combined track should indicate this via the submission system. Papers submitted to the combined track will then undergo the regular (open and transparent) SWJ review process with the following possible decisions:

  • Rejected
  • Accepted for the conference proceedings
  • Accepted for the conference proceedings and invited for extended submission to the Semantic Web journal

Papers that are acceptable for both will be printed in the Springer volume and authors will be asked to submit an extended version (at least 30-50% new content, e.g., full literature review, full evaluation, proofs, additional results, additional case studies, implementation details) within 6 weeks. This extended version will then undergo a fast-track review process, i.e., we assume that the paper as such is 'acceptable' and the reviewers will focus on revisions. These revisions could still be substantial and the final acceptance is based on their authors' ability to address those revisions. Papers in the 'accepted for the conference proceedings' category will be accepted to the EKAW Springer proceedings.

The organisers of EKAW 2014 are committed to an open and transparent reviewing process. For this reason we encourage authors to submit their paper as a combined conference/journal submission. Their submissions, and the reviews, are then public, which fosters scientific discourse and high quality reviewing.

Full paper submission guidelines: (only if abstracts were submitted in easychair at the abstract submission deadline)

The full paper submissions to the combined Conference/Journal track have to be submitted via the Semantic Web Journal submission system. For this you need to do the following:

  1. Register at and log in.
    Observe that you must register with your full names for the account to be approved.
  2. Once logged in, you will find a "Submit Manuscript" link.
  3. Once you land on the "Create Paper Submission" page
    1. Fill in authors, title and abstract
    2. Choose "other" as submission type, and
    3. Put "EKAW conference/journal track submission" in the cover letter, and add your EasyChair submission number. That will be sufficient.

Important Dates:

  • Abstract Submission: July 9, 2014
  • Full Paper Submission: July 16, 2014 July 18, 2014 (Hawaii time 23:59)
  • Notification: September 3, 2014
  • Camera-Ready: September 19, 2014

Program Committee Chairs:

Program Committee Members:

  • Benjamin Adams
  • Lora Aroyo
  • Sören Auer
  • Nathalie Aussenac-Gilles
  • Andrea Ballatore
  • Wouter Beek
  • Olivier Bodenreider
  • Joost Breuker
  • Christopher Brewster
  • Liliana Cabral
  • Vinay Chaudhri
  • Michelle Cheatham
  • Paolo Ciancarini
  • Phillip Cimiano
  • Paul Compton
  • Olivier Corby
  • Ronal Cornet
  • Claudia D'Amato
  • Mathieu d'Aquin
  • Aba-Sah Dadzie
  • Victor de Boer
  • Stefan Decker
  • Daniele Dell'Aglio
  • Emanuele Della Valle
  • Klaas Dellschaft
  • Zlatan Dragisic
  • Henrik Eriksson
  • Dieter Fensel
  • Jesualdo Tomás Fernández-Breis
  • Antske Fokkens
  • Aldo Gangemi
  • Serge Garlatti
  • Dragan Gasevic
  • Chiara Ghidini
  • Luca Gilardoni
  • Asunción Gómez-Pérez
  • Paul Groth
  • Michael Gruninger
  • Christophe Guéret
  • Jon Atle Gulla
  • Peter Haase
  • Harry Halpin
  • Siefried Handshuh
  • Tom Heath
  • Martin Hepp
  • Jesper Hoeksema
  • Rinke Hoekstra
  • Aidan Hogan
  • Matthew Horridge
  • Andreas Hotho
  • Zhisheng Huang
  • Eero Hyvönen
  • Antoine Isaac
  • Valentina Ivanova
  • Maria Keet
  • Adila A. Krisnadhi
  • Patrick Lambrix
  • Wolfgang Maass
  • Grant McKenzie
  • Albert Merono Penuela
  • Peter Mika
  • Michele Missikoff
  • Riichiro Mizoguchi
  • Dunja Mladenic
  • Andrea Moro
  • Enrico Motta
  • Raghavan Mutharaju
  • Axel-Cyrille Ngonga Ngomo
  • Vit Novacek
  • Jens Ortmann
  • Matteo Palmonari
  • Viktoria Pammer
  • Maryam Panahiazar
  • Sujan Parera
  • Wim Peters
  • Mohammad Taher Pilevar
  • Sofia Pinto
  • Axel Polleres
  • Yannick Prié
  • Guilin Qi
  • Alan Rector
  • Ulrich Reimer
  • Chantal Reynaud
  • Laurens Rietveld
  • Marco Rospocher
  • Sebastian Rudolph
  • Marta Sabou
  • Harald Sack
  • Simon Scheider
  • Kunal Sengupta
  • Luciano Serafini
  • Elena Simperl
  • Derek Sleeman
  • Pavel Smrz
  • Steffen Staab
  • Heiner Stuckenschmidt
  • Rudi Studer
  • Mari Carmen Suárez-Figueroa
  • Ondrej Svab-Zamazal
  • Vojtěch Svátek
  • Annette Ten Teije
  • Robert Tolksdorf
  • Ioan Toma
  • Francky Trichet
  • Giovanni Tummarello
  • Marieke Van Erp
  • Frank Van Harmelen
  • Iraklis Varlamis
  • Fabio Vitali
  • Johanna Völker
  • Hannes Werthner
  • Fouad Zablith