Extending a search engine with semantic information - Revision history

DavidLaniado at 08:25, 27 May 2010

2010-05-27T08:25:52Z

DavidLaniado at 09:11, 23 October 2009

2009-10-23T09:11:34Z

DavidLaniado at 15:35, 8 October 2009

2009-10-08T15:35:16Z

DavidLaniado at 15:34, 8 October 2009

2009-10-08T15:34:53Z

DavidLaniado at 16:30, 30 September 2009

2009-09-30T16:30:07Z

DavidLaniado at 16:23, 30 September 2009

2009-09-30T16:23:41Z

DavidLaniado: New page: {{ProjectProposal |title=Extending a search engine with semantic information |image= |description=We are used to keyword-based search engines, where only documents matching the exact words...

2009-09-21T20:28:05Z

New page: {{ProjectProposal |title=Extending a search engine with semantic information |image= |description=We are used to keyword-based search engines, where only documents matching the exact words...

New page

{{ProjectProposal
|title=Extending a search engine with semantic information
|image=
|description=We are used to keyword-based search engines, where only documents matching the exact words in the query are retrieved.

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 interactive 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;MarcoColombetti
|cfumin=5
|cfumax=20
|studmin=1
|studmax=2
|resarea=Social Software and Semantic Web
|restopic=Semantic Search
|level=Bs;Ms
|type=Course;Thesis
|status=Proposal
}}

We are used to keyword-based search engines, where only documents matching the exact words in the query are retrieved.

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 for the expansion, as well as more dynamic and interactive sources of knowledge such as user tags and wikipedia pages and categories.

Starting points for this work can be the projects [[SeQuEx | SeQuEx - Semantic Query Expansion]] and [[Enriching search results with semantic metadata]].

;Tools and instruments
:the project should be preferibly implemented in Java, extending [http://lucene.apache.org/solr/ Solr], an open source enterprise search server based on the [http://lucene.apache.org/ Lucene Java search library].

;Related projects
:[[SeQuEx | SeQuEx - Semantic Query Expansion]]
:[[Enriching search results with semantic metadata]]

@@ Line 16: / Line 16: @@
 |level=Bs; Ms
 |type=Course; Thesis
 }}
 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.

@@ Line 2: / Line 2: @@
 |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.
+|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.
@@ Line 8: / Line 8: @@
 Starting points for this work can be the projects "SeQuEx - Semantic Query Expansion" and "Enriching search results with semantic metadata".
 |tutor=DavidLaniado;MarcoColombetti
 |cfumin=5
 |cfumax=20
 |resarea=Social Software and Semantic Web
 |restopic=Semantic Search
-|level=Bs;Ms
+|level=Bs; Ms
-|type=Course;Thesis
+|type=Course; Thesis
 }}
+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.
-−
-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.

@@ Line 1: / Line 1: @@
 {{ProjectProposal
 |title=Extending a search engine with semantic information
-|image=
+|image=velociraptor.png
 |description=We are used to keyword-based search engines, where only documents matching the exact words in the query are retrieved.
@@ Line 25: / Line 25: @@
 Starting points for this work can be the projects [[SeQuEx | SeQuEx - Semantic Query Expansion]] and [[Enriching search results with semantic metadata]].
 ;Tools and instruments
 :the project should be preferibly implemented in Java, extending [http://lucene.apache.org/solr/ Solr], an open source enterprise search server based on the [http://lucene.apache.org/ Lucene Java search library].
 ;Related projects
 :[[SeQuEx | SeQuEx - Semantic Query Expansion]]
 :[[Enriching search results with semantic metadata]]