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Conceptually categorizing geographic features from text based on latent semantic analysis and ontologies
| Content Provider | Scilit |
|---|---|
| Author | Huang, Yuxia |
| Copyright Year | 2016 |
| Description | Categorizing geographic features from text is a process of assigning a collection of text documents that describe geographic features to predefined categories. This paper presents a new approach to categorize geographic features from text that begins at the level of the individual document. Using latent semantic analysis, similar geographic features are grouped into predefined categories through capturing the semantic context of text. By incorporating ontologies into latent semantic analysis, the domain knowledge can be incorporated into the categorizing process. The proposed approach can allocate each geographic feature into more than one category and is able to identify a set of key concepts to represent each category. The results from an experimental evaluation using the proposed approach showed promise in categorizing geographic features from text. |
| Related Links | https://www.tandfonline.com/doi/pdf/10.1080/19475683.2016.1144648?needAccess=true |
| Ending Page | 127 |
| Page Count | 15 |
| Starting Page | 113 |
| ISSN | 19475683 |
| e-ISSN | 19475691 |
| DOI | 10.1080/19475683.2016.1144648 |
| Journal | Annals of GIS |
| Issue Number | 2 |
| Volume Number | 22 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2016-04-02 |
| Access Restriction | Open |
| Subject Keyword | Journal: Annals of Gis Text Classification Ontology Geographic Features Latent Semantic Analysis |
| Content Type | Text |
| Resource Type | Article |
| Subject | Earth and Planetary Sciences Computer Science Applications |
