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.

Research Areas

  • Agile Knowledge Engineering
  • Distributed / Federated Social Networks
  • Linked Data
  • Semantic Software Engineering
  • Semantic Web Infrastructure

Members

Projects

  • 5. Leipziger Semantic Web Tag (LSWT2013) – Von Big Data zu Smart Data
  • 6. Leipziger Semantic Web Tag (LSWT2018) – Linked Enterprise Data Services
  • 7. Leipziger Semantic Web Tag (LSWT2019) – Linking Research and Enterprise
  • aksw.org – a linked data driven web page rendered by OntoWiki site extension
  • Catalogus Professorum – Leipzig Professors Catalog
  • CSVImport – Representing multi-dimensional statistical data as RDF using the RDF Data Cube Vocabulary
  • CubeViz – The RDF DataCube Browser.
  • Digital Agenda Scoreboard – A Statistical Anatomy of Europe's way into the Information Age
  • Dockerizing Linked Data – Knowledge Base Shipping to the Linked Open Data Cloud
  • DSSN – towards a global Distributed Semantic Social Network
  • DSSNP
  • Erfurt – PHP5 / Zend based Semantic Web API for Social Semantic Software
  • Facete – JavaScript SPARQL-based Faceted Search Library and Browsing Widgets
  • FTS – RDF Version of the Financial Transparency System of the European Commission
  • GEISER – Von Sensordaten zu internetbasierten Geo-Services
  • GeoKnow – Making the Web an Exploratory for Geospatial Knowledge
  • Jassa – JAvascript Suite for Sparql Access
  • Jekyll RDF – Transform your RDF Knowledge Graph into static websites and blogs
  • jena-sparql-api – A Java library featuring tools for transparently boosting SPARQL query execution.
  • LEDS – Linked Enterprise Data Services
  • LIMBO – Linked Data Services for Mobility
  • LinkedGeoData – adds a spatial dimension to the Web of Data
  • LODStats – a statement-stream-based approach for gathering comprehensive statistics about RDF datasets
  • OntoWiki – a tool providing support for agile, distributed knowledge engineering scenarios
  • Pfarrerbuch
  • PlatonaM – Plattform-Ökosystem für innovatives Instandhaltungsmanagement durch Predictive Maintenance
  • QROWD – The power of the Qrowd combines with RDF
  • Query Cache – Adaptive SPARQL Query Cache
  • Quit – Quads in Git - Distributed Version Control for RDF Knowledge Bases
  • ReDD-Observatory – Using the Web of Data for Evaluating the Research-Disease Disparity
  • SANSA-Stack – Open source platform for distributed data processing for RDF large-scale datasets
  • SemMap
  • SlideWiki – revolutionise how educational materials can be authored, shared and reused
  • SlideWiki.eu – Large-scale pilots for collaborative OpenCourseWare authoring, multiplatform delivery and Learning Analytics.
  • SLIPO – Scalable Linking and Integration of Big POI data
  • SparqlAnalytics – I Know What You Did Last Query
  • Sparqlify – a SPARQL-SQL rewriter
  • STREAM – Semantische Repräsentation, Vernetzung und Kuratierung von qualitätsgesicherten Materialdaten.
  • Xodx – A basic DSSN node implementation

Publications

by (Editors: ) [BibTex of ]

News

SANSA 0.7.1 (Semantic Analytics Stack) Released ( 2020-01-17T09:52:41+01:00 by Prof. Dr. Jens Lehmann)

2020-01-17T09:52:41+01:00 by Prof. Dr. Jens Lehmann

We are happy to announce SANSA 0.7.1 – the seventh release of the Scalable Semantic Analytics Stack. SANSA employs distributed computing via Apache Spark and Flink in order to allow scalable machine learning, inference and querying capabilities for large knowledge graphs. Read more about "SANSA 0.7.1 (Semantic Analytics Stack) Released"

More Complete Resultset Retrieval from Large Heterogeneous RDF Sources ( 2019-12-05T15:46:09+01:00 Andre Valdestilhas)

2019-12-05T15:46:09+01:00 Andre Valdestilhas

Over recent years, the Web of Data has grown significantly. Various interfaces such as LOD Stats, LOD Laundromat and SPARQL endpoints provide access to hundreds of thousands of RDF datasets, representing billions of facts. Read more about "More Complete Resultset Retrieval from Large Heterogeneous RDF Sources"

DL-Learner 1.4 (Supervised Structured Machine Learning Framework) Released ( 2019-09-24T22:41:46+02:00 by Simon Bin)

2019-09-24T22:41:46+02:00 by Simon Bin

Dear all, The Smart Data Analytics group [1] and the E.T.-db-MOLE sub-group located at the InfAI Leipzig [2] is happy to announce DL-Learner 1.4. DL-Learner is a framework containing algorithms for supervised machine learning in RDF and OWL. Read more about "DL-Learner 1.4 (Supervised Structured Machine Learning Framework) Released"

DBpedia Day @ SEMANTiCS 2019 ( 2019-08-01T10:35:05+02:00 Sandra Bartsch)

2019-08-01T10:35:05+02:00 Sandra Bartsch

 We are happy to announce that SEMANTiCS 2019 will host the 14th DBpedia Community Meeting at the last day of the conference on September 12, 2019. Read more about "DBpedia Day @ SEMANTiCS 2019"

LDK conference @ University of Leipzig ( 2019-03-22T09:21:41+01:00 by Julia Holze)

2019-03-22T09:21:41+01:00 by Julia Holze

With the advent of digital technologies, an ever-increasing amount of language data is now available across various application areas and industry sectors, thus making language data more and more valuable. Read more about "LDK conference @ University of Leipzig"