Difference between revisions of "Extending a search engine with semantic information"
DavidLaniado (Talk | contribs) m |
DavidLaniado (Talk | contribs) |
||
| Line 2: | Line 2: | ||
|title=Extending a search engine with semantic information | |title=Extending a search engine with semantic information | ||
|image=velociraptor.png | |image=velociraptor.png | ||
| − | |description=We are used to keyword-based search engines, where only documents matching the exact words in the query are retrieved. | + | |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 if 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 | + | 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". | Starting points for this work can be the projects "SeQuEx - Semantic Query Expansion" and "Enriching search results with semantic metadata". | ||
| Line 20: | Line 20: | ||
| − | We are used to keyword-based search engines, where only documents matching the exact words in the query are retrieved. | + | 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 if 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 | + | 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". | ||
;Tools and instruments | ;Tools and instruments | ||
Revision as of 17:30, 30 September 2009
| Title: | Extending a search engine with semantic information |  Image:velociraptor.png |
| 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 if 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 (david.laniado@gmail.com), 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 Search | |
| Level: | Bs, Ms | |
| Type: | Course, Thesis | |
| Status: | Proposalwarning.png"Proposal" is not in the list of possible values (Active, Closed) for this property. |
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 if 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".
- Tools and instruments
- the project should be preferibly implemented in Java, extending Solr, an open source enterprise search server based on the Lucene Java search library.
