A Latent-Dirichlet-Allocation Based Extension for Domain Ontology of Enterprise's Technological Innovation.
Qianqian ZhangShifeng LiuDaqing GongQun TuPublished in: Int. J. Comput. Commun. Control (2019)
Keyphrases
- domain ontology
- latent dirichlet allocation
- technological innovation
- text mining
- topic models
- semi automatic
- topic modeling
- domain knowledge
- competitive advantage
- puts forward
- domain specific
- open innovation
- variational bayesian inference
- fuzzy synthetic evaluation
- lda model
- information technology
- generative model
- knowledge management
- latent topics
- gibbs sampling
- data sources
- key factors
- semantic information
- text documents
- information retrieval
- text classification
- general purpose
- high tech
- natural language processing
- conceptual framework
- information management
- conceptual model
- dimensionality reduction
- e government
- domain experts
- probabilistic topic models
- countermeasures
- data sets
- knowledge discovery
- bayesian networks
- machine learning
- data mining