This research topic belongs to the research area Social Software and Semantic Web.
Projects on this topic:
- Enriching search results with semantic metadata (Enriching search results with semantic metadata)
- SeQuEx (SeQuEx - Semantic Query Expansion)
|Wiki Page:||Extending a search engine with semantic information|
|Title:||Extending a search engine with semantic information|
|Description:||We are used to keyword-based search engines, where only documents matching the exact words in the query are retrieved. In a traditional search engine, if you submit the query "a dinosaur in a university in Lombardy" you won't probably find a document containing the phrase "a velociraptor in Politecnico di Milano", even though it's more or less what you were looking for.
Aim of this project is to expand a traditional search engine with semantic information, so that also documents containing words related to the ones in the query can be retrieved. Existing thesauri and ontologies can be used, as well as more dynamic and collaborative sources of knowledge such as user tags and wikipedia pages and categories.
Starting points for this work can be the projects "SeQuEx - Semantic Query Expansion" and "Enriching search results with semantic metadata".
|Tutor:||[[DavidLaniado | ]] (, , , , , , , , , , , , , , , , , , … further resultswarning.png|
|Students:||1 - 2|
|CFU:||5 - 20|
|Research Area:||Social Software and Semantic Web|
|Research Topic:||Semantic Search|
|Level:||Bachelor of Science, Master of Science|