Aligning Web Collaboration Tools with Research Data for Scholars

Post on 11-May-2015

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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

http://www.resxplorer.org

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 #mmlablaurens.devocht@ugent.behttp://slideshare.net/laurensdvhttp://semweb.mmlab.be/

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