a faceted query engine applied to archaeology
Clicks: 202
ID: 247340
2007
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Popular Article
30.0
/100
202 views
38 readers
AI Quality Assessment
Not analyzed
Readership in this journal
PopularRanked #14 of 20 articles by views in health and technology
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
In this article we present the Faceted Query Engine, a system developed at Columbia University under the aegis of the inter-disciplinary project Computational Tools for Modeling, Visualizing and Analyzing Historic and Archaeological Sites. Our system is based on novel Database Systems research that has been published in Computer Science venues (Ross and Janevski, 2004 and Ross et al., 2005). The goal of this article is to introduce our system to the target user audience - the archaeology community.
We demonstrate the use of the Faceted Query Engine on a previously unpublished dataset: the Thulamela (South Africa) collection. This dataset is comprised of iron-age finds from the Thulamela site at the Kruger National Park. Our project is the first to systematically compile and classify this dataset. We also use a larger dataset, a collection of ancient Egyptian artifacts from the Memphis site (Giddy,1999), to demonstrate some of the features of our system.
| Reference Key |
ross2007interneta
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Kenneth A. Ross;Angel Janevski;Julia Stoyanovich |
| Journal | health and technology |
| Year | 2007 |
| DOI |
http://dx.doi.org/10.11141/ia.21.3
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.