Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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1.080 Topics available

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977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

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Aalborg University

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (6/6 displayed)

  • 2017SM4MQcitations
  • 2015Modeling Large Time Series for Efficient Approximate Query Processing4citations
  • 2015SpotADAPT6citations
  • 2012Interfacial alloying in CdSe/CdS heteronanocrystals : a Raman spectroscopy analysis155citations
  • 2011ETLMR22citations
  • 2009Forming of bulk metallic glass microcomponents21citations

Places of action

Chart of shared publication
Dobrokhotova, Ekaterina
1 / 1 shared
Pedersen, Torben Bach
4 / 4 shared
Varga, Jovan
1 / 1 shared
Romero, Oscar
1 / 1 shared
Perera, Kasun S.
1 / 1 shared
Hahmann, Martin
1 / 1 shared
Lehner, Wolfgang
1 / 3 shared
Kaulakiene, Dalia
1 / 1 shared
Cetintemel, Ugur
1 / 1 shared
Kraska, Tim
1 / 3 shared
Hens, Zeger
1 / 29 shared
Tschirner, Norman
1 / 1 shared
Gomes Pinto Fernandes, Raquel Filipa
1 / 2 shared
Lange, Holger
1 / 2 shared
Schliwa, Andrei
1 / 4 shared
Lambert, Karel
1 / 3 shared
Biermann, Amelie
1 / 1 shared
Liu, Xiufeng
1 / 1 shared
Jensen, Rune Debel
1 / 1 shared
Wert, John A.
1 / 5 shared
Arentoft, Mogens
1 / 20 shared
Chart of publication period
2017
2015
2012
2011
2009

Co-Authors (by relevance)

  • Dobrokhotova, Ekaterina
  • Pedersen, Torben Bach
  • Varga, Jovan
  • Romero, Oscar
  • Perera, Kasun S.
  • Hahmann, Martin
  • Lehner, Wolfgang
  • Kaulakiene, Dalia
  • Cetintemel, Ugur
  • Kraska, Tim
  • Hens, Zeger
  • Tschirner, Norman
  • Gomes Pinto Fernandes, Raquel Filipa
  • Lange, Holger
  • Schliwa, Andrei
  • Lambert, Karel
  • Biermann, Amelie
  • Liu, Xiufeng
  • Jensen, Rune Debel
  • Wert, John A.
  • Arentoft, Mogens
OrganizationsLocationPeople

report

SM4MQ

  • Dobrokhotova, Ekaterina
  • Pedersen, Torben Bach
  • Varga, Jovan
  • Thomsen, Christian
  • Romero, Oscar
Abstract

On-Line Analytical Processing (OLAP) is a data analysis approach to support decision-making. On topofthat,ExploratoryOLAPisanovelinitiativefortheconvergenceofOLAPandtheSemantic Web (SW) that enables the use of OLAP techniques on SW data.Moreover,OLAP approaches exploit different metadata artifacts (e.g., queries) to assist users with the analysis. However, modeling and sharing of most of these artifacts are typically overlooked.Thus, in this paper we focus on the query metadata artifact in the Exploratory OLAP context and propose an RDF-based vocabulary for its representation, sharing, and reuse on the SW. As OLAP is based on the underlying multidimensional (MD)<br/>data model we denote such queries as MD queries and define SM4MQ: A Semantic Model for Multidimensional Queries.Furthermore, we propose a method to automate the exploitation of queries by means of SPARQL. We apply the method to a use case of transforming queries from SM4MQ to a vector<br/>representation.For the use case, we developed the prototype and performed an evaluation that shows how our approach can significantly ease and support user assistance such as query recommendation.

Topics
  • impedance spectroscopy
  • molecular dynamics