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

AKSW Colloquium, 18-05-2015, Multilingual Morpheme Ontology, Personalised Access and Enrichment of Linked Data Resources ( 2015-05-17T12:24:52+02:00 by Dr. Amrapali Zaveri)

2015-05-17T12:24:52+02:00 by Dr. Amrapali Zaveri

MMoOn – A Multilingual Morpheme Ontology by Bettina Klimek In the last years a rapid emergence of lexical resources evolved in the Semantic Web. Read more about "AKSW Colloquium, 18-05-2015, Multilingual Morpheme Ontology, Personalised Access and Enrichment of Linked Data Resources"

AKSW Colloquium, 11-05-2015, DBpedia distributed extraction framework ( 2015-05-10T18:36:42+02:00 by Nilesh Chakraborty)

2015-05-10T18:36:42+02:00 by Nilesh Chakraborty

Scaling up the DBpedia extraction framework by Nilesh Chakraborty The DBpedia extraction framework extracts different kinds of structured information from Wikipedia to generate various datasets. Performing a full extraction of Wikipedia dumps of all languages (or even just the mapping-based languages) takes a significant amount of time. Read more about "AKSW Colloquium, 11-05-2015, DBpedia distributed extraction framework"

Invited talk @AIMS webinar series ( 2015-05-08T12:47:00+02:00 by Dr. Amrapali Zaveri)

2015-05-08T12:47:00+02:00 by Dr. Amrapali Zaveri

On 5th of May Ivan Ermilov on behalf of AKSW presented CKAN data catalog as a part of AIMS (Agricultural Information Management Standards) webinar series. Read more about "Invited talk @AIMS webinar series"

AKSW Colloquium, 04-05-2015, Automating RDF Dataset Transformation and Enrichment, Structured Machine Learning in Life Science ( 2015-05-03T21:50:38+02:00 by Mohamed Sherif)

2015-05-03T21:50:38+02:00 by Mohamed Sherif

Automating RDF Dataset Transformation and Enrichment by Mohamed Sherif With the adoption of RDF across several domains, come growing requirements pertaining to the completeness and quality of RDF datasets. Read more about "AKSW Colloquium, 04-05-2015, Automating RDF Dataset Transformation and Enrichment, Structured Machine Learning in Life Science"

AKSW Colloquium, 27-04-2015, Ontotext’s RDF database-as-a-service (DBaaS) via Self-Service Semantic Suite (S4) platform via & Knowledge-Based Trust ( 2015-04-23T17:21:00+02:00 JoergUnbehauen)

2015-04-23T17:21:00+02:00 JoergUnbehauen

This colloquium features two talks. First the Self-Service Semantic Suite (S4) platform is presented by Marin Dimitrov (Ontotext), followed up by Jörg Unbehauens report on Googles effort on using factual correctness as a ranking factor. Read more about "AKSW Colloquium, 27-04-2015, Ontotext’s RDF database-as-a-service (DBaaS) via Self-Service Semantic Suite (S4) platform via & Knowledge-Based Trust"