towards a comprehensive call ontology for research 2.0
Post on 21-Oct-2014
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Presentation of our paper at i-Know 2011TRANSCRIPT
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Towards a Comprehensive Call Ontology for Research 2.0Vladimir Tomberg, David Lamas, Mart Laanpere, Tallinn University;
Wolfgang Reinhardt, University of Paderborn;
Jelena Jovanovic, University of Belgrade
ICWL 2011, Graz, Austria
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Researcher and CfP
Researchers spend a lot of time deleting dozens of useless CfPs from their email inboxes;
They spend even more time looking for relevant CfPs on the Web;
It is the very common situation when a researcher receives a word about an appropriate CfP a day after the submission deadline;
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The Challenge: Semantically enhanced CfP
Can we target two opposite sides of the CfP publication process:
1. Solutions for semantic search, filtering and recommendation of CfPs should be designed for researchers;
2. Semantically rich tools and workflows for the dissemination of CfPs targeted at CfP providers;
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State of the Art: Where CfPs are now?
Mailing Lists and Blogs;
Web Based Services;
Adding Semantics to HTML;
Parsing Plain CfP Data;
CfP Related Representation Frameworks
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Mailing Lists and Blogs
Mailing lists’ examples:
dbworld
AISWorld
Not very efficient solution in terms of filtering data or semantic search;
Ability of blogs to provide the semantic meaning for posts is limited by the RSS vocabulary
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Web Based Services
Try to implement a semantic approach to processing the CfP data:
WikiCFP;
eventseer.net;
Conference Alerts;
PapersInvited;
AllConferences.Com;
etc;
Use HTML with no semantic markup;
Limited, not compatible vocabularies
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Adding Semantics to HTML
Technologies that support applying semantics to HTML:
Microformats – has very limited vocabulary;
RDFa – not a clear prospect after end of XHTML2;
Microdata – a new player, almost isn’t used at all, no web browser supports microdata at the moment
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Parsing Plain CfP Data
The first attempts were conducted in 1989;
Limitations:
Absence of unified CfP vocabulary;
Complex, multi-level structures of CfPs;
Continuously extended types of data used in CfPs do not allow for overall data extraction
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CfP Related Representation Frameworks
CfP vocabulary;
LODE – Linking Open Descriptions of Events;
ESWC2006 Conference Ontology;
AKT Portal;
SWRC – Semantic Web for Research Communities;
SWPortal – Semantic Web Portal;
SwetoDblp;
SEDE – Scholarly Event Description Ontology
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Findings in Analysis of Existing CfP Practices
Difference between the original CfPs and their analogues in WikiCFP – based on vocabulary web-form scaffolds event organizers to provide information in more standardised manner;
We found that all used concepts can be categorised into six groups: Events, Places, Submissions, Publications, Dates, and People
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DESIGNING THE CALL ONTOLOGY
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Call ontology: concepts for Events
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Call ontology: concepts for Submissions
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Call ontology: concepts for Dates
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Call ontology: concepts for Publications
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Call ontology: concepts for People and Organizations
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Two Usage Scenarios for Call Ontology
1. Timeliner – a tool for supporting collaborative scientific writing;
2. Novel conference management system ginkgo
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Timeliner
Timeliner – concept of a mash-up tool supporting the orchestration of collaborative writing process;
Timeliner aggregates CfP-related data into a joint multi-level timeline inspired by Gantt chart
If CfP is accepted by user, all related deadlines (submission, acceptance, registration etc) and links to resources are placed on the timeline.
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Layered Timeliner architecture
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Ginkgo – Modern Conference Management System
ginkgo supports Research 2.0 practices with all the phases and roles involved in the organization of events;
ginkgo could apply the Call ontology presented here together with an easy-to-use editor;
ginkgo would provide a SPARQL endpoint where crawler could access all available CfPs of events managed with the system
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Future Challenges
The existing conference management systems should be examined for the purpose of services integration;
Design of a service capable of aggregating and making use of semantic-rich CfP data generated by conference management systems. This service should:
1. Consume advertised CfPs;
2. Provide a structured and personalized access to such data for researchers
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Thanks for your attention!