Detection, Representation and Management of Concept Drift in Linked Open Data
Workshop at EKAW, Bologna, Italy, 20 November 2016.
#driftaLOD
The continuous growth of the Linked Open Data (LOD) Cloud is extending to various new domains. In many of these, facts change continuously: political landscapes evolve, medical discoveries lead to new cures, artists form new collaborations. In terms of knowledge representation, we observe that instances change their roles, new relations appear, old ones become invalid, and classes change both their definition and memberinstances.
The evolution of LOD poses new challenges to interested stakeholders: LOD publishers need to detect changes in the real world and capture them in their datasets; users and applications need automated tools to adapt querying over such diachronic datasets; knowledge engineers want to understand modelling practices behind ontology changes; philosophers study drift in the meaning of words.
Given the rapidly increasing deployment of semantic technologies in today’s Web, the impact of semantic change becomes more and more relevant, since it compromises semantic interoperability and access to digital content. Whereas the semantic web field has been concerned largely with static knowledge for a long time, there is now more and more interest in timedependent content. Event modeling, event extraction, stream reasoning, and the emergence of Web Observatories are examples of that. While the infrastructure to represent and query timestamped data is coming together, there is still a lack of knowledge about how to detect that facts and concepts have changed, how to interpret changes, and how to deliver results to users in a meaningful way.
This workshop seeks to form a community of researchers working on detecting, representing and managing concept drift in and for LOD, either as input or output for their acquisition, representation or modeling methods. The goal is to bring together different communities that define, identify and manage the dynamics of concepts in their knowledge bases using various domainspecific methods (statistical inference, symbolic reasoning, natural language processing, etc.), leveraging Linked Data as a data source or as a result publishing platform.
For this workshop we invite contributions from researchers working on detecting, representing and managing concept drift in and for LOD, either as input or output for their acquisition, representation or modeling methods. The goal is to bring together different communities that define, identify and manage the dynamics of concepts in their knowledge bases using various domainspecific methods (statistical inference, symbolic reasoning, natural language processing, etc.), leveraging Linked Data as a data source or as a result publishing platform.
Topics of interest include, but are not restricted to:
Papers should not exceed 8 pages, in PDF, formatted in the style of the Springer Publications format for Lecture Notes in Computer Science (LNCS). For details on the LNCS style, see Springer's Author Instructions. Shorter papers describing significant work in progress, late breaking results, or lessons learned, are also welcome. Contributions will be accepted for either an oral presentation or as a poster. Accepted contributions will be published on the CEUR-WS website (or equivalent). Contributions can be submitted through https://easychair.org/conferences/?conf=driftalod2016.
Participants of the workshop need to register for the main conference. For registration details and fees, please see the EKAW website
Since we received a wide range of high-quality submissions, the Drift-a-LOD workshop promises to bring together an interesting community of people working on concept drift from a variety of research fields. We are now opening a call for late breaking results to enable more people to present their work in this setting rather than ‘just’ listening. We are interested in your latest discoveries, updates and plans regarding techniques that detect, represent and manage concept drift in and for Linked Open Data. During the workshop, you will have the opportunity to present these interesting extensions to the audience in a dedicated session. Next to novel results, we also welcome:
To participate, please submit to https://easychair.org/conferences/?conf=driftalod2016 an abstract of max 500 words with the following contents:
The late breaking results will be assessed by the workshop chairs based on academic quality, practical use and relevance to the workshop topics. Authors of accepted contributions will be invited to present their work in the form of a short presentation during a dedicated session in the workshop program.
(削除) September 15, 2016: deadline to submit papers (削除ここまで)
September 22, 2016: extended deadline to submit papers
October 6, 2016: notifications sent to authors
November 11, 2016: deadline for late breaking results
November 16, 2016: notifications for late breaking results
November 20, 2016: workshop