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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
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Related Experiment Video

Updated: Mar 24, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
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PepeSearch: Semantic Data for the Masses.

Guillermo Vega-Gorgojo1, Martin Giese1, Simen Heggestøyl1

  • 1Department of Informatics, University of Oslo, Oslo, Norway.

Plos One
|March 12, 2016
PubMed
Summary
This summary is machine-generated.

PepeSearch simplifies semantic data exploration for everyday users by offering an easy-to-use search tool. This portable application shows high retrieval performance and positive usability for searching linked open data.

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Area of Science:

  • Computer Science
  • Information Science

Background:

  • The Web of Data is rapidly expanding, increasing the need for accessible tools to search and explore semantic datasets.
  • Current semantic data tools often require specialized knowledge, such as SPARQL/RDF, limiting access for mainstream users.

Purpose of the Study:

  • To introduce PepeSearch, a portable tool designed for non-expert users to search and explore semantic datasets.
  • To evaluate the effectiveness and usability of PepeSearch for searching a large, real-world linked open data resource.

Main Methods:

  • PepeSearch features an automatically generated multi-class search form based on SPARQL endpoints.
  • The tool was tested with 15 participants performing non-trivial searches on a Linked Open Data version of the Norwegian Register of Business Enterprises.
  • Portability was assessed by configuring PepeSearch to query different SPARQL endpoints.

Main Results:

  • Participants achieved high retrieval performance when using PepeSearch.
  • Usability ratings for PepeSearch were very positive, indicating user-friendliness.
  • The tool demonstrated portability by successfully querying diverse SPARQL endpoints.

Conclusions:

  • PepeSearch is an effective tool for enabling mainstream users to search semantic datasets.
  • The positive results suggest PepeSearch can bridge the gap between complex semantic data and general users.
  • The tool's portability enhances its utility across various semantic data sources.