Agile Knowledge Engineering and Semantic Web (AKSW)
The Research Group Agile Knowledge Engineering and Semantic Web (AKSW) is hosted by the Chair of 
Business Information Systems (BIS) of the Institute of Computer Science (IfI) / University of Leipzig as well as the Institute for Applied Informatics (InfAI). It consists of the three subgroups Emergent Semantics, Machine Learning and Ontology Engineering, and Semantic Abstraction.
AKSW coordinates EU-funded research project LOD2 aiming to take the Web of Linked Data to the next level
All wealth of information is already widely available on the Internet or in company-wide Intranets. In many situations, however, we tend perceive this plethora of information as an information overload, since it is still rarely possible to answer search queries going beyond simple keyword-searches and tedious to integrate information from different sources in unforeseen ways. [...]
Triplification Challenge Winners
Today we announced the winners of this year’s Triplification Challenge, which have been selected from 23 submissions.
Open Government Data Track
Winner: Richard Cyganiak, Fadi Maali and Vassilios Peristeras, “Self-Service Linked Government Data with dcat and Gridworks”
Honorary Mention: Christoph Boehm, Felix Naumann, Markus Freitag, Stefan George, Norman Höfler, Martin Köppelmann, Claudia Lehmann, Andrina Mascher and [...]
DL-Learner Build 2010-08-07 released
We are happy to announce the next release of DL-Learner, a tool for learning OWL class expressions from examples and background knowledge. It extends Inductive Logic Programming (ILP) to Description Logics and the Semantic Web. The tool has matured over the past 3 years and is meanwhile used in a number of applications. Some features [...]
Goals
- Development of methods, tools and applications for adaptive Knowledge Engineering in the context of the Semantic Web
- Research of underlying Semantic Web technologies and development of fundamental Semantic Web tools and applications
- Maturation of strategies for fruitfully combining the Social Web paradigms with semantic knowledge representation techniques
AKSW is committed to the open source, open access and open knowledge movements.
Projects
AKSW has launched a number of high-impact R&D projects:
- Triplify tackles the chicken-and-egg problem of the Semantic Web by providing a building block for the “semantification” of Web applications.
- SoftWiki – distributed, end-user-centred Requirements Engineering for evolutionary software development
- OntoWiki is a Semantic Data Wiki as well as an Application Framework providing support for agile, distributed knowledge engineering scenarios.
- DBpedia is a community effort to extract structured information from Wikipedia and make this information available on the Web.
- DL-Learner tackles the problem of learning concepts / class expressions in Description Logics / OWL from examples.
Please look at the projects page for a comprehensive description of AKSW's funded as well as community and open source projects.
Demos
Please have a look at our demos:
DBpedia.org: Querying Wikipedia like a knowledge base.
LinkedGeoData.org: adding the spatial dimension to the Semantic Web.
Triplify.org: Make Web applications better mashable by exposing semantics.
xOperator: Interconnecting the Semantic Web with Instant Messaging Networks.
Wikipedia Query Builder: Query the over 10M facts extracted from Wikipedia
OntoWiki: Use social semantic collaboration to build comprehensive knowledge bases
DL-Learner: Earn class descriptions by semantically analysing objects
DBpedia Relationship Finder: Allows you to explore the DBpedia dataset to find relationships between two things
DBpedia Navigator: Search/browse in DBpedia and get recommendations on what you may be looking for
Information
Last Modification: 
2010-03-11 13:58:42 by Christoph Riess