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DOCKER.md

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Docker image

Currently, we provide a basic image to experiment with Army ANT 0.3. This image comes prepackaged with two indexes for a small subset of the INEX 2009 Wikipedia Collection. This subset, INEX 2009 3T-NL covers 3 topics (3T) and all the documents mentioned in the relevance judgments for these topics, excluding linked files (NL; i.e., no links). The instance includes the following engines, ranking functions and configurable parameters:

  • Lucene
    • TF-IDF
    • BM25
      • k1 = [1, 1.2, 1.8]
      • b = [0.5, 0.75, 1]
    • Divergence From Randomness (DFR)
      • BasicModel: BM = [BE, G, P, D, In, Ine, IF]
      • AfterEffect: AE = [L, B, Disabled]
      • Normalization: N = [H1, H2, H3, Z, Disabled]
  • Hypergraph-of-Entity
    • Random Walk Score
      • Length: l = [1, 2, 3, 4, 5, 6]
      • Repeats: r = [10, 100, 250, 500, 750, 1000]
    • Jaccard Score

Evaluation Files

In order to experiment with the evaluation module, you will first need to download the INEX 2009 3T-NL subset, attached to release 0.3, thus obtaining the topics/2010-topics.xml, with the test queries, and the assessments/2010/inex2010.qrels with the relevance judgments.

Installation

In order to install Army ANT, please follow the instructions in army-ant-install. Running Army ANT will require a MongoDB docker instance in the same network on the default port.