Domain-specific Knowledge Extraction from the Web of Data

By Sarasi Lalithsena. 2018

5 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Ugur Kursuncu
2. Manas Gaur
3. Amit P. Sheth
4. Krishnaprasad Thirunarayan
5. S. Kho
6. Swati Padhee
7. G. Bajaj
8. Jérôme Euzenat

Citations in the corpus

• Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning (2019, methodology): “Further, a sub-graph discovery approach (Cameron et al. 2015; Lalithsena 2018) can also be used utilizing probabilistic graphical models (e.g., deep belief networks, conditional random fields).”
• Domain-Specific Use Cases for Knowledge-Enabled Social Media Analysis (2018, methodology): “The approach proposed by Lalithsena [18] uses the entity semantics of the categories in the Wikipedia category hierarchy to extract domain-specific subgraphs (as shown in Figure 1).”