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Research Articles

Detecting geo-relation phrases from web texts for triplet extraction of geographic knowledge: a context-enhanced method

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Pages 297-314 | Received 31 May 2019, Accepted 07 Aug 2019, Published online: 16 Sep 2019

Figures & data

Figure 1. Workflow of key-phrase detection for triplet extraction.

Figure 1. Workflow of key-phrase detection for triplet extraction.

Figure 2. Sparseness reduction for terms in contexts.

Figure 2. Sparseness reduction for terms in contexts.

Figure 3. Example of categories regarding geo-entities in DBpedia ontology.

Figure 3. Example of categories regarding geo-entities in DBpedia ontology.

Table 1. Lexical features for term assessment.

Table 2. Examples of detected key phrases of geo-entity pairs.

Figure 4. Example of the detected key phrases of geo-entity pair types.

Figure 4. Example of the detected key phrases of geo-entity pair types.

Figure 5. Cumulative frequency of the key phrase (property) number of each geo-entity pair type.

Figure 5. Cumulative frequency of the key phrase (property) number of each geo-entity pair type.

Table 3. Statistics of key-phrase detections.

Table 4. Precision of key-phrase detection.

Data availability statement

The data referred to in this paper is not publicly available at the current time.