Groups

If you would like to contact the above team, please write an email to lead-aksw@informatik.uni-leipzig.de. If you would like to contact all persons listed below, please write an email to aksw-core@informatik.uni-leipzig.de. For contacting individual persons, please visit their work pages below.

The following subgroups belong to AKSW

Adaptive Information and Knowledge Engineering

The AIKE group focuses on the application of Semantic Web technologies to support adaptive Information and Knowledge Engineering. The research goal is to use domain specific vocabularies for modelling of application software and compiling software components. To achieve results in this fields, research activities of the AIKE group are in the scope of agile and collaborative requirements engineering, knowledge extraction from existing databases, knowledge engineering, and knowledge alignment to software component interfaces. The group also provides established open source tools and use cases in the field of digital humanities. Read more about Adaptive Information and Knowledge Engineering

Emergent Semantics

Research in Emergent Semantics revolves around supporting semantic collaboration scenarios in an adaptive way. This work includes especially research on engineering and adoption of semantic collaboration software, semantic collaboration protocols as well as research on distributed / federated semantic social networks. To bootstrap semantic collaboration and the semantic web in general, the Emergent Semantics group also investigates basic semantic technologies and semantic web infrastructures. Read more about Emergent Semantics

Machine Learning and Ontology Engineering

The MOLE group focuses on combining Semantic Web and supervised Machine Learning technologies. The goal is to improve both quality and quantity of available knowledge by extracting, analysing, enriching and linking existing data. To make obtained results readily available for use in other applications, the group also provides several established open source tools, frameworks and demonstrators. Read more about Machine Learning and Ontology Engineering

Semantic Abstraction

SIMBA's focus lies on knowledge extraction, integration, linking and consumption for porting the document-oriented web to the Data Web. For this purpose, SIMBA develops novel and scalable approaches for RDF/OWL extraction, link discovery and graph analysis. In addition, SIMBA provides tools and frameworks that implement these approaches and allow for their swift integration into industry projects. Read more about Semantic Abstraction

News

DL-Learner 1.1 (Supervised Structured Machine Learning Framework) Released ( 2015-07-22T16:14:57+02:00 by Dr. Jens Lehmann)

2015-07-22T16:14:57+02:00 by Dr. Jens Lehmann

Dear all, we are happy to announce DL-Learner 1.1. DL-Learner is a framework containing algorithms for supervised machine learning in RDF and OWL. Read more about "DL-Learner 1.1 (Supervised Structured Machine Learning Framework) Released"

AKSW Colloquium, 20-07-2015, Enterprise Linked Data Networks ( 2015-07-16T11:20:08+02:00 by Marvin Frommhold)

2015-07-16T11:20:08+02:00 by Marvin Frommhold

Enterprise Linked Data Networks (PhD progress report) by Marvin Frommhold The topic of the thesis is the scientific utilization of the LUCID research project, in particular the LUCID Endpoint Prototype. Read more about "AKSW Colloquium, 20-07-2015, Enterprise Linked Data Networks"

AKSW Colloquium, 13-07-2015 ( 2015-07-13T12:06:56+02:00 by Philipp Frischmuth)

2015-07-13T12:06:56+02:00 by Philipp Frischmuth

Philipp Frischmuth will give a brief presentation regarding the current state of his PhD thesis and Lukas Eipert will present the topic of his upcoming internship: As part of an internship at eccenca a configurable graphical RDF editor will be … Continue reading → Read more about "AKSW Colloquium, 13-07-2015"

AKSW Colloquium, 22-06-2015, Concept Expansion Using Web Tables, Mining entities from the Web, Linked Data Stack ( 2015-06-22T12:11:56+02:00 by Mohamed Sherif)

2015-06-22T12:11:56+02:00 by Mohamed Sherif

Concept Expansion Using Web Tables by Chi Wang, Kaushik Chakrabarti, Yeye He,Kris Ganjam, Zhimin Chen, Philip A. Bernstein (WWW’2015), presented by Ivan Ermilov: Abstract. Read more about "AKSW Colloquium, 22-06-2015, Concept Expansion Using Web Tables, Mining entities from the Web, Linked Data Stack"

AKSW Colloquium, 15-06-2015, Caching for Link Discovery ( 2015-06-12T23:33:25+02:00 TommasoSoru)

2015-06-12T23:33:25+02:00 TommasoSoru

Using Caching for Local Link Discovery on Large Data Sets [PDF] by Mofeed Hassan Engineering the Data Web in the Big Data era demands the development of time- and space-efficient solutions for covering the lifecycle of Linked Data. Read more about "AKSW Colloquium, 15-06-2015, Caching for Link Discovery"