NIF - NLP Interchange Format

Creating Knowledge out of Interlinked Data NIF – NLP Interchange Format Sebastian Hellmann AKSW, Universität LeipzigLOD2 Presentation . 02.09.2010 . Page http://lod2.eu

Creating Knowledge out of Interlinked DataNIF – NLP Interchange Format Problem: • Currently NLP software is organized in pipelines • Integration is done „hard-wired“ – For each tool and each framework an adapter has to be created (n*m) • Difficult to exchange single components 2Open Linguistics@OKCon 30.6.2011 2 http://lod2.eu

Creating Knowledge out of Interlinked DataNIF – NLP Interchange Format Overview: • NLP tools can be integrated via a common output format (Common pattern in Enterprise Application Integration) • For each tool a wrapper needs to be created, that reads NIF and produces NIF • The combination of tools can be adhoc, i.e. it is not a pipeline that needs to be configured • Multi-layer and overlapping annotations are possible • Ontologies provide interfaces for each layer and for applications 3Open Linguistics@OKCon 30.6.2011 3 http://lod2.eu

Creating Knowledge out of Interlinked DataNIF – NLP Interchange Format • First Challenge: Representing Strings in RDF • How to give a part of a document or text an identifier (URI)? • What properties can such URIs have? 4Open Linguistics@OKCon 30.6.2011 4 http://lod2.eu

Creating Knowledge out of Interlinked DataNIF – NLP Interchange Format 5LOD2 Event . 06.09.2010 . Page 5 http://lod2.eu

Creating Knowledge out of Interlinked DataNIF – NLP Interchange Format Example URIs for annotating „Semantic Web“ 6Open Linguistics@OKCon 30.6.2011 6 http://lod2.eu

Creating Knowledge out of Interlinked DataNIF – NLP Interchange Format • First Challenge: Representing Strings in RDF • How to give a part of a document or text an identifier (URI)? • What properties can such URIs have? 7Open Linguistics@OKCon 30.6.2011 7 http://lod2.eu

Creating Knowledge out of Interlinked DataNIF – NLP Interchange Format • URIs are used to integrate output. RDF merges naturally, if the URIs are the same (or convertible using a certain recipe) 8Open Linguistics@OKCon 30.6.2011 8 http://lod2.eu

Creating Knowledge out of Interlinked DataNIF – NLP Interchange Format • Second challenge: Output of each layer is required to be stable. • Components and layers can be interchanged • OLiA provides an ontological interface 9Open Linguistics@OKCon 30.6.2011 9 http://lod2.eu

Creating Knowledge out of Interlinked DataWorkplan • EU Deliverable almost finished • Integration of SnowballStemming and the Stanford Parser • Next step: Integration of Knowledge Extraction tools (Zemanta, DBpedia Spotlight, Alchemy, OpenCalais) • Web Service that read NIF and Output NIF • Google Code Project: http://code.google.com/p/nlp2rdf/ 13Open Linguistics@OKCon 30.6.2011 13 http://lod2.eu

Creating Knowledge out of Interlinked DataFuture • NIF allows to represent NLP output using Knowledge Representation Formalisms (RDF/OWL) • It is possible to mix it with other Knowledge (e.g. Wikipedia/DBpedia) • Good foundation to optimize machine learning: • Choose the best algortihms • Choose the best data 14Open Linguistics@OKCon 30.6.2011 14 http://lod2.eu

Creating Knowledge out of Interlinked DataReasons for Open Data • Horváth et. al. (ILP 2009): „A Logic-Based Approach to Relation Extraction from Texts“ • POS-Tags and Dependency Trees in First-Order-Logic • ILP Machine Learning Approach • TIDES Extraction (ACE) 2003 Multilingual Training Data • closed licence • about 3000 US $ • Barrier for reproduction of results • Authors could send me a (p)(r)e-print, but not a copy of the benchmarkTM 15Open Linguistics@OKCon 30.6.2011 15 http://lod2.eu

Creating Knowledge out of Interlinked Data Thank you for your attention!LOD2 Presentation . 02.09.2010 . Page http://lod2.eu

NIF - NLP Interchange Format

by Sebastian Hellmann on Jul 06, 2011

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NIF - NLP Interchange Format — Presentation Transcript