Data Sources for Information Extraction in Automotive Forensics.
Andreas AttenbergerPublished in: EUROCAST (2) (2019)
Keyphrases
- data sources
- information extraction
- structured data
- data integration
- natural language processing
- precision and recall
- databases
- semi structured
- data extraction
- text mining
- free text
- relation extraction
- named entity recognition
- web mining
- text documents
- information integration
- text processing
- named entities
- information sources
- data warehouse
- multiple data sources
- data model
- structured and unstructured data
- open domain
- data collections
- question answering
- heterogeneous data sources
- automotive industry
- information retrieval
- semantic tagging
- conditional random fields
- machine learning
- textual data
- integrating heterogeneous
- web documents
- data sets
- deep web data sources
- natural language
- geospatial data
- deep web
- distributed data sources
- data mining
- multiple sources
- forgery detection
- ontology based information extraction
- document analysis
- heterogeneous data
- relational learning
- law enforcement
- neural network
- machine translation
- knowledge discovery
- data analysis