Stage-oe-small.jpg

Thema3253: Unterschied zwischen den Versionen

Aus Aifbportal
Wechseln zu:Navigation, Suche
Zeile 3: Zeile 3:
 
|Titel=Browsing the Semantic Web using wiki technology
 
|Titel=Browsing the Semantic Web using wiki technology
 
|Abschlussarbeitsstatus=Offen
 
|Abschlussarbeitsstatus=Offen
|Beschreibung DE=...
+
|Beschreibung DE=More and more web pages offer their information not only in a human-readable but also in a machine-readable form (see [http://tripletalk.wordpress.com/2011/01/25/rdfa-deployment-across-the-web/]); this is coming close to the so-long envisioned web of data or Semantic Web.
 +
 
 +
Although this opens up the possibility of enhanced browsing for information, Semantic Web browsers have not yet reached their full potential (try for yourself using the LOD browser switch and Tim Berners-Lee's foaf file: [http://browse.semanticweb.org/?uri=http%3A%2F%2Fwww.w3.org%2FPeople%2FBerners-Lee%2Fcard%23i]).
 +
 
 +
The goal of this work is it to analyse the advantages of using
 +
semantic wiki technology for browsing the Semantic Web.
 +
 
 +
If browsing would be possible directly from a semantic wiki, links between
 +
content from the wiki and information from the Web could be automatically identified (e.g., using simple matching rules, or through reasoning and machine learning). This new information could first be checked for validity and usefulness, and possibly curated, then partly imported into the wiki.
 +
 
 +
Information residing in the wiki would both be more cross-linked and connected to external information sources, resulting in better possibilities for managing knowledge.
 +
 
 +
As a representative semantic wiki, Semantic MediaWiki is to be extended. For that, it can be built on concepts and results of the award-winning system Shortipedia (see [[http://www.aifb.kit.edu/web/Neuigkeit19/en]]).
 +
 
 +
Prerequisites: Some programming skills in PHP and JavaScript.
 
|Beschreibung EN=More and more web pages offer their information not only in a human-readable but also in a machine-readable form (see [http://tripletalk.wordpress.com/2011/01/25/rdfa-deployment-across-the-web/]); this is coming close to the so-long envisioned web of data or Semantic Web.
 
|Beschreibung EN=More and more web pages offer their information not only in a human-readable but also in a machine-readable form (see [http://tripletalk.wordpress.com/2011/01/25/rdfa-deployment-across-the-web/]); this is coming close to the so-long envisioned web of data or Semantic Web.
  

Version vom 18. Februar 2011, 10:58 Uhr



Browsing the Semantic Web using wiki technology




Informationen zur Arbeit

Abschlussarbeitstyp: Bachelor, Master, Diplom, Studienarbeit
Betreuer: Benedikt KämpgenDenny Vrandecic
Forschungsgruppe: Wissensmanagement

Archivierungsnummer: 3253
Abschlussarbeitsstatus: Offen
Beginn: unbekannt
Abgabe: unbekannt

Weitere Informationen

More and more web pages offer their information not only in a human-readable but also in a machine-readable form (see [1]); this is coming close to the so-long envisioned web of data or Semantic Web.

Although this opens up the possibility of enhanced browsing for information, Semantic Web browsers have not yet reached their full potential (try for yourself using the LOD browser switch and Tim Berners-Lee's foaf file: [2]).

The goal of this work is it to analyse the advantages of using semantic wiki technology for browsing the Semantic Web.

If browsing would be possible directly from a semantic wiki, links between content from the wiki and information from the Web could be automatically identified (e.g., using simple matching rules, or through reasoning and machine learning). This new information could first be checked for validity and usefulness, and possibly curated, then partly imported into the wiki.

Information residing in the wiki would both be more cross-linked and connected to external information sources, resulting in better possibilities for managing knowledge.

As a representative semantic wiki, Semantic MediaWiki is to be extended. For that, it can be built on concepts and results of the award-winning system Shortipedia (see [[3]]).

Prerequisites: Some programming skills in PHP and JavaScript.