Aligning Web Collaboration Tools with Research Data for Scholars
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Aligning Web Collaboration Tools with Research Data for Scholars Laurens De Vocht Selver Softic, Erik Mannens, Martin Ebner, Rik Van de Walle
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Resources for research are not always easy to explore, and rarely come with strong support for identifying, linking and selecting those that can be of interest to scholars. In this work we introduce a model that uses state-of-the-art semantic technologies to interlink structured research data and data from Web collaboration tools, social media and Linked Open Data. We use this model to build a platform that connects scholars, using their pro les as a starting point to explore novel and relevant content for their research. Scholars can easily adapt to evolving trends by synchronizing new social media accounts or collaboration tools and integrate then with new datasets. We evaluate our approach by a scenario of personalized exploration of research repositories where we analyze real world scholar pro files and compare them to a reference profi le.
Transcript of Aligning Web Collaboration Tools with Research Data for Scholars
Aligning Web Collaboration Toolswith Research Data for Scholars
Laurens De Vocht Selver Softic, Erik Mannens, Martin Ebner, Rik Van de Walle
Make the most of the wealth of resources for research:
through relating and aligning scholar profiles with the
online available resources, publications, conferences ,and other scholar profiles.
1. Research Collaboration2. Semantic Search Infrastructure3. Dynamic Alignment of Resources4. Evaluation5. Conclusions
Agenda
2. Semantic Search Infrastructure3. Dynamic Alignment of Resources4. Evaluation5. Conclusions
1. Research Collaboration
Dynamic Alignment of Resources
3. Dynamic Alignment of Resources4. Evaluation5. Conclusions
2. Semantic Search Infrastructure
4. Evaluation5. Conclusions
3. Dynamic Alignment of Resources
Extractor
Aligner
Profiler Interlinker
Extractor
Aligner
Profiler Interlinker
Extract
Transform
Mapusing selected vocabularies
Load
Extractor
Aligner
Profiler Interlinker
Extractor
Aligner
Profiler Interlinker
@Alice is giving an interesting presentation at #ISWC2013 in #Sydney
I presented in #Sydney our new demo, to be found at http://ceur-ws.org/Vol-1035…
LinkedData
EntitiesExplicitConnection
ImplicitConnection
Tags
@Selver
@Laurens
5. Conclusions
4. Evaluation
User ProfilesTags
Articles and Authors
Golden Profile (GP)
User Profile 1 (UP1)
User Profile 2 (UP2)
User Profile 3 (UP3)
reference
Tags
Tags
Articles and Authors
Conference tags are better recognized (higher accuracy)Accuracy of the alignment between datasets crucial.
Promising sensitivity when interlinking articles and authors.
Even a low sensitivity guarantees useful linksas each single correct link builds a novel connection of interest.
Discussion
Aligned resources from scholars for exploring and searchingreading library and contributions on web collaboration tools
Future research will focus onConfirm findings using additional user profilesHow to determine the efficiency of the modelImprove the accuracy of the interlinking by post-processing the contributed resources with additional relations
5. Conclusions
http://www.resxplorer.org
@laurens_d_v #[email protected]://slideshare.net/laurensdvhttp://semweb.mmlab.be/
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