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Proceedings of the 1st KEYSTONE Conference

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The proceedings of the first KEYSTONE Conference are available online.
Semantic Keyword-based Search on Structured Data Sources
First COST Action IC1302 International KEYSTONE Conference, IKC 2015, Coimbra, Portugal, September 8-9, 2015. Revised Selected Papers
Editors: Cardoso, J., Guerra, F., Houben, G.-J., Pinto, A.M., Velegrakis, Y. (Eds.)
Lecture Notes in Computer Science Volume 9398 2015

PROFILE 2016

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3rd International Workshop on Dataset PROFIling & fEderated Search for Linked Data

Co-located with ESWC 2016, May 2016, Anissaras, Crete, Greece.

https://www.keystone-cost.eu/profiles2016/
 
Co-organised by ICT COST Action IC1302

Work and Budget Plan for the Third Grant Period

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The Management Committee has approved the Budget Plan for the Third Grant Period that will finish on April 2016. The budget is limited (Actually it covers only 4 months) and  allows the organization of a MC + WG Meeting, that is planned for February / March. The money that we save from the meeting (if any) will be used for some STSM.

Call for Industry Participation

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KEYSTONE (www.keystone-cost.eu) is a COST Action that brings together people from 28 countries and aims at enabling research activity and technology transfer in the area of keyword-based search over structured data sources.
KEYSTONE achieves its goal by organizing meetings and training schools, by funding the participation of researchers and practitioners in these events, and by supporting short-term scientific missions.
Why should you consider participating in KEYSTONE?
It is a “place” where you can:

find research groups for discussing, sharing, improving, and jointly developing research ideas and solving, applying, and developing solutions to keyword search challenges in particular domains.
provide real scenarios and datasets for which keyword search techniques are required.
propose my team or my company for hosting internships.
request a grant to (partially) support a visiting activity
participate in research meetings with scientific teams coming from several European countries to prepare research proposals for European and national calls
share, disseminate,  and stay informed about the main developments in the field of keyword search over structured data sources.
provide and reuse scientific outcomes, including code libraries and datasets.
supply knowledge and technology transfer needs.
participate as an expert or student in KEYSTONE training schools.
organize and participate in workshops, conferences, special issues in journals and industrial events.

 
What are the requirements for participating in KEYSTONE?
The only requirement is to have an active participation during our meetings. In particular, in 2015 we would like to organize sessions in our annual meetings oriented towards industrial experts. The goal is to establish a “bi-directional exchange” of knowledge between industry and research, to define specific industry needs to address, and to design use cases and scenarios for evaluating the techniques developed by KEYSTONE.
Although the main topic of the action is keyword search in large scale data, the expertise of the participants span across all the major parts of large scale data management. If you are interested in joining KEYSTONE or if you need further details, please send an email to the Chair of the Action: [email protected]

Special Issue of Transactions on Computational Collective Intelligence journal on Keyword Search and Big Data

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Journal page: https://www.springer.com/computer/lncs/transactions+cci?SGWID=0-173802-0-0-0
The simplicity with which users can publish content nowadays has made the Web the world’s largest database. Keyword-based search has become the de-facto standard for information discovery in this ocean of data, mainly due to its simplicity that makes it attractive to technically novice users. To answer keyword queries, existing search engines rely on effective indexes of the content that allow them to return the documents that best match the user’s search criteria. This generally leaves out the structure of the data, its semantic dimension, as well as the social aspects to which it may relate. We believe that, in order to exploit the full potential of the Web, structured and rich data will have to receive the same search and retrieve capabilities as the text data from Web documents. However, due to their highly structured nature, the rich semantics, and the data structures by which they are typically managed, a great deal of issues needs to be studied. As the problem is in general of a multifaceted nature, it requires synergies from many different disciplines.
Broad areas of interest include, but are not limited to:
• Semantic web, semantic similarity, semantic data management, semantic disambiguation, semantic indexing;
• Social Web and social media;
• Interface design, user interaction, natural language processing;
• Data cleansing, data fusion, data quality, data integration, probabilistic data matching;
• Benchmarking, ranking;
• Artificial intelligence, machine learning;
• Metadata management, schema matching;
• Deep Web, provenance, information retrieval, database summarisation
• Context-aware web applications;
• Knowledge / ontology self-management and evolution;
• Semantic Web and emotional intelligence;
• Enabling everything-as-a-user.
Submission Guidelines
Papers should follow the LNCS format and should be no less than 15 pages and no more than 45. The submission should be done on the TCCI online submission system https://senldogo0039.springer-sbm.com/TCCI/servlet/Conference by selecting the option Special Issue for SDSW 2014.
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Important Dates
• Submission deadline: April 5th, 2015
Special Issue Guest Editors
• Paulo Rupino da Cunha, University of Coimbra,
• Omar Boucelma, LSIS, Aix-Marseille University
• Bogdan Cautis, University of Paris-Sud
• Yannis Velegrakis, University of Trento
The special issue is supported by the KEYSTONE COST action on keyword search.

Why to join Keystone?

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Do you want to participate in the Keystone Action? Do you want to be informed about the activies Keystone proposes?
Join the Action!
Why should I join Keystone? Some motivations here!