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 Publications on this Year?s Leipzig Book Fair
At this year’s book fair in Leipzig (18/03 - 21/03) two books resulting from current project work of the AKSW research group [1,2] are displayed within the scope of scientific publications from the University of Leipzig. One of the editors, Thomas Riechert, will be present on 19th March from 10 to 12 o’clock at booth [...]
ORE 0.1 Released
The set of tools released by the AKSW research group has a new member: ORE. ORE stands for ontology repair and enrichment. It is a tool for knowledge engineers to improve an OWL ontology through a wizard like repair process. It uses state-of-the-art methods for fixing inconsistencies and suggesting additions to an ontology, while still [...]
Semantic Pingback
This is an announcement of the technical report as well as three different implementations of Semantic Pingback.
Semantic Pingback tackles the quality, timeliness and coherence as well as direct end user benefits of the emerging Linked Data Web. Semantic Pingback extends the well-known Pingback method, which is a technological cornerstone of the blogosphere.
It is based on [...]
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