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1. Exploring the One-brain Barrier: a Manual Contribution to the NTCIR-12 Math Task

Author

Schubotz, Moritz, Meuschke, Norman, Leich, Marcus, and Gipp, Bela

Subjects
Math Search, Mathematical Information Retrieval, MathML
Abstract

This paper compares the search capabilities of a single human brain supported by the text search built into Wikipedia with state-of-the-art math search systems. To achieve this, we compare results of manual Wikipedia searches with the aggregated and assessed results of all systems participating in the NTCIR-12 MathIR Wikipedia Task. For 26 of the 30 topics, the average relevance score of our manually retrieved results exceeded the average relevance score of other participants by more than one standard deviation. However, math search engines at large achieved better recall and retrieved highly relevant results that our ‘single-brain system’ missed for 12 topics. By categorizing the topics of NTCIR-12 into six types of queries, we observe a particular strength of math search engines to answer queries of the types ‘definition lookup’ and ‘application look-up’. However, we see the low precision of current math search engines as the main challenge that prevents their wide-spread adoption in STEM research. By combining our results with highly relevant results of all other participants, we compile a new gold standard dataset and a dataset of duplicate content items. We discuss how the two datasets can be used to improve the query formulation and content augmentation capabilities of match search engines in the future.

Published
2016
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2. RETHINK big: European roadmap for hardware anc networking optimizations for big data

Author

Barcelona Supercomputing Center, Alioto, Gina, Carpenter, Paul Matthew, Cristal Kestelman, Adrián, Unsal, Osman, Leich, Marcus, Avare, Christophe, Barcelona Supercomputing Center, Alioto, Gina, Carpenter, Paul Matthew, Cristal Kestelman, Adrián, Unsal, Osman, Leich, Marcus, and Avare, Christophe

Abstract

This paper discusses the results of the RETHINK big Project, a 2-year Collaborative Support Action funded by the European Commission in order to write the European Roadmap for Hardware and Networking optimizations for Big Data. This industry-driven project was led by the Barcelona Supercomputing Center (BSC), and it included large industry partners, SMEs and academia. The roadmap identifies business opportunities from 89 in-depth interviews with 70 European industry stakeholders in the area of Big Data and predicts the future technologies that will disrupt the state of the art in Big Data processing in terms of hardware and networking optimizations. Moreover, it presents coordinated technology development recommendations (focused on optimizations in networking and hardware) that would be in the best interest of European Big Data companies to undertake in concert as a matter of competitive advantage., This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement n° 619788. It has also been supported by the Spanish Government (grant SEV2015-0493 of the Severo Ochoa Program), by the Spanish Ministry of Science and Innovation (contract TIN2015-65316) and by Generalitat de Catalunya (contracts 2014-SGR-1051 and 2014-SGR-1272)., Peer Reviewed, Postprint (author's final draft)

Published
2017

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