Data Mining with Linked Data: Past, Present, and Future
| Autor: | Rohit Beniwal, Manish Rawat, Vikas Gupta, Rishabh Aggarwal |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer science
02 engineering and technology Linked data computer.file_format computer.software_genre Prime (order theory) 030507 speech-language pathology & audiology 03 medical and health sciences Knowledge extraction 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Data mining RDF 0305 other medical science Raw data Semantic Web computer |
| Zdroj: | 2018 Second International Conference on Computing Methodologies and Communication (ICCMC). |
| Popis: | Linked Data has emerged as a popular method for representing structured data. One of the prime aims is to convert today’s web of documents into a web of data where the data is machine-readable as well as processable. This research paper focuses on the data mining techniques used for mining the raw data. However, these techniques are cumbersome and can be optimized using Linked Data. Hence, we discuss the data mining techniques with Linked Data that may play a pivotal role in future in extracting meaningful information from unstructured or semi-structured data. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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