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Faceted Search with Elasticsearch, Angular.js and D3.js

Authors:

  • Mathias Blum
  • Matthias Frey
  • Daniel Lamprecht
  • Nelson Silva

This project was created in the course of the lecture Information Architecture and Web Usability, held by Prof. Keith Andrews, at TU Graz, Austria (IAWEB).

To reference our work, please use:

Initial Survey

@Electronic{Blum2015survey,
  Title                    = {Faceted User Interfaces Survey},
  Author                   = {Mathias Blum and Matthias Frey and Daniel Lamprecht and Nelson Silva},
  Month                    = {12},
  Url                      = {https://goo.gl/28wK5P},
  Year                     = {2015},
  Date                     = {2015-12-15},
  Doi                      = {10.13140/RG.2.1.4996.0720},
  Owner                    = {nsilva},
  Timestamp                = {2016.02.18}
}

- survey.pdf DOI: 10.13140/RG.2.1.4996.0720

Final Report

@Electronic{Blum2016faceted,
  Title                    = {Faceted Navigation for Open Data: Using Elasticsearch for offenesparlament.at},
  Author                   = {Mathias Blum and Matthias Frey and Daniel Lamprecht and Nelson Silva},
  Url                      = {https://goo.gl/28wK5P},
  Date                     = {2016-01-22},
  Doi                      = {10.13140/RG.2.1.1594.3447},
  Owner                    = {nsilva},
  Timestamp                = {2016.02.18}
}

- report.pdf DOI: 10.13140/RG.2.1.1594.3447

Web Project

In /src, a generic web-project with bower and npm is set up. DOI

Installation

NodeJS and NPM are needed to install the rest, so first install

Then, install node packages for gulp and bower with something like npm install --global gulp bower (it might be necessary to run this as superuser).

Then, change into poject folder and start npm and bower to fetch dependencies:

$ cd src
$ npm install
$ bower install

This will install the project dependencies, after which you should be able to start the developmend server with

$ gulp serve

Elasticsearch Server

Elasticsearch binaries are available at the Elasticsearch website: https://www.elastic.co/products/elasticsearch

Find the executables in elasticsearch-2.1.0/bin .

Elasticsearch Server - Windows

exectue the file elasticsearch-2.1.0\bin\elasticsearch.bat

Import documents

  1. delete any old index (if you want to reload)

    curl -XDELETE 'localhost:9200/opendata?pretty'

  2. create the index

    curl -XPUT 'localhost:9200/opendata?pretty'

  3. create and load the mapping file

    curl -XPUT localhost:9200/opendata/statement/_mapping?pretty -d @data/mapping.json

  4. load the json dataset

    curl -XPOST localhost:9200/opendata/statement/_bulk?pretty --data-binary @data/export-minimal.json

Project Screenshots: