combining data mining and ontology engineering to enrich ontologies and linked data
DESCRIPTION
Presentation at the "first international workshop on Knowledge Discovery and Data Mining Meets Linked Open Data" (Know@LOD) at ESWC 2012TRANSCRIPT
Combining Data Mining and Ontology Engineering to enrich Ontologies and
Linked DataMathieu d’Aquin
Knowledge Media Institute (Kmi), The Open University, UK (@mdaquin)
Gabriel KronbergerUniversity of Applied Science Upper Austria, School for Informatics, Communications and Media
Mari Carmen Suárez-FigueroaOntology Engineering Group, Departamento de Inteligencia Artificial, Facultad de Informática,
Universidad Politécnica de Madrid
The Knowledge Discovery Process
The Knowledge Discovery Process
With Linked Data
and Ontologies…
?
Ontologies?populatedBy/modelling/characterising/structuring?
Ontology Patterns?
??
??
??
The Knowledge Discovery Process
Linked
?
The Knowledge Discovery Process
Linked
?
The Knowledge Discovery ProcessGuided by
knowledge
?
The Ontology Engineering Process
Ellicitate knowledge
Model knowledge
Represent knowledge
Traditionallycompetency questions, key concepts, etc.
diagrams, etc.
OWL, RDFS, etc.
Ellicitate domain
In Linked Data
Reuse from others
Combine
through existing information systems, etc
find commonly used vocabularies
align, fill the gaps, etc.
In both cases, it is expected that the data will somehow fit the ontology, that the ontology will support relevant applications, and support the inference of new information
DataData
Knowledge Engineering and Knowledge Discovery: a co-evolution process?
Represent knowledge/Combine
Model knowledge/Reuse
Ellicitate knowledge/domain
Pre-process
Mine
Interpret
Data
Ontologies/Knowledge
Knowledge Engineering and Knowledge Discovery: a co-evolution process?
Major (new) issues 1/4Ontology-based filtering, checking and interpretation of DM results
Mine
DataDataData
Ontologies
Results ??
Zablith et al., Using Ontological Contexts to Assess the Relevance of Statements in Ontology Evolution, EKAW 2010
Ontology
DocsText
Analysis
Relation Discovery New concepts
New relations
Major (new) issues 2/4
Mining from Linked and Ontology based data
Mine
DataData
Data
Ontologies
Results??
Ontology
Ontology
Nikolov et al., Unsupervised Learning of Link Discovery Configuration, ESWC 2012
Data DataGenetic
Algorithm
Similarity Configuration
Link Discovery
Links
Major (new) issues 3/4
Ontology-guided data mining
Mine
Data
Ontologies
Results??
d’Aquin and Motta, Extracting Relevant Questions to an RDF Dataset Using Formal Concept Analysis, K-CAP 2011
Ontology
RDF Data
Inference + Formal Context
Generation
Formal Context
Formal Concept Analysis
Lattice
Interpretation
Prominent questions/qu
eries
Major (new) issues 4/4Versioning and consistency
Mine
DataDataData
Ontologies
Results
MineMine
OntologiesOntologies
Results
Results
??
Requires keeping track of the different models and their versions, the agreement and disagreement between them, as well as the areas of consensus and controveries(d’Aquin, Formally Measuring Agreement and Disagreement in Ontologies, K-CAP 2009)
Lead to the notion of ontology convergence
Conclusion
• Many existing works have considered the connection between data mining and ontology engineeing
• A large scale, web of linked data and ontologies make the related challenges more prominent…
• … and need real interactions between the two approaches, not as disconnected components.
• Need to investigate and exploit the colateral benefits of ontology engineering and knowledge discovery…
• … coming up with new techniques for enriching knowledge from mined data, and guiding the extraction of further data wit ontological knowledge
Thank you
http://people.kmi.open.ac.uk/mathieu
@mdaquin