Mining wikipedia categories
| Title: | Wikipedia category map |  Image:wikipedia_categories.png |
| Description: | Wikipedia articles are organized in a hierarchy of categories, manually assigned by users. This process can be considered a huge effort for the collective categorization of human knowledge; the result is a wide and disordered graph which can provide precious information for a variety of applications (natural language processing, information retrieval, ontology building...).
In the project "Wikipedia Category Map" a tool has been developed to extract the graph of Wikipedia categories, to store it in RDF format and to interactively visualize and explore it. Aim of this project is to analyze the resulting graph for the extraction of semantic relationships; for example it is possible to define metrics of distance between topics in the graph, which can be useful for various purposes in information retrieval. | |
| Tutor: | DavidLaniado (david.laniado@gmail.com), RiccardoTasso (tasso@elet.polimi.it), MarcoColombetti (colombet@elet.polimi.it) | |
| Start: | Nowwarning.pngThe date "Now" was not understood. | |
| Students: | 1 - 2 | |
| CFU: | 5 - 20 | |
| Research Area: | Social Software and Semantic Web | |
| Research Topic: | Semantic Tagging, Semantic Search | |
| Level: | Bs, Ms | |
| Type: | Course, Thesis | |
| Status: | Proposalwarning.png"Proposal" is not in the list of possible values (Active, Closed) for this property. |
Wikipedia articles are organized in a hierarchy of categories, manually assigned by users. This process can be considered a huge effort for the collective categorization of human knowledge; the result is a wide and disordered graph which can provide precious information for a variety of applications (natural language processing, information retrieval, ontology building...).
In Wikipedia Category Map a tool has been developed to extract the graph of Wikipedia categories, to store it in RDF format and to interactively visualize and explore it.
Aim of this project is to analyze the resulting graph for the extraction of semantic relationships; for example it is possible to define metrics of distance between topics in the graph, which can be useful for various purposes in information retrieval.
- Tools and instruments
- the software can be implemented in any programming language.
- Related projects
- Wikipedia Category Map
