Search Results - subject:"DBpedia"

Semantically enhanced machine learning approach to recommend e-learning content

Ezaldeen, Hadi; Misra, Rachita; Alatrash, Rawaa; … - In: International journal of electronic business : IJEB 15 (2020) 4, pp. 389-413

Persistent link: https://www.econbiz.de/10012508929

FactQA: question answering over domain knowledge graph based on two-level query expansion

Zhang, Xiaoming; Meng, Mingming; Sun, Xiaoling; Bai, Yu - In: Data Technologies and Applications 54 (2019) 1, pp. 34-63

Purpose With the advent of the era of Big Data, the scale of knowledge graph (KG) in various domains is growing rapidly, which holds huge amount of knowledge surely benefiting the question answering (QA) research. However, the KG, which is always constituted of entities and relations, is...

Persistent link: https://www.econbiz.de/10014712618

Multi-Target Search on Semantic Associations in Linked Data

Zhang, Xiang; Lin, Erjing; Lv, Yulian - In: International Journal on Semantic Web and Information … 14 (2018) 1, pp. 71-97

experiments are conducted on DBpedia to validate the effectiveness and efficiency of their approach. …

Persistent link: https://www.econbiz.de/10012048281

On Evaluating Web-Scale Extracted Knowledge Bases in a Comparative Way

Ruan, Tong; Zhao, Liang; Li, Yang; Wang, Haofen; Dong, Xu - In: International Journal on Semantic Web and Information … 14 (2018) 1, pp. 98-120

authors evaluate three large Chinese KBs including DBpedia Chinese, Zhishi.me and SSCO comparatively, and further compare them … with English KBs in terms of data set qualities. They also compare different versions of DBpedia and YAGO. The findings in …

Persistent link: https://www.econbiz.de/10012048282

Allied: A Framework for Executing Linked Data-Based Recommendation Algorithms

Figueroa, Cristhian; Vagliano, Iacopo; Rocha, Oscar … - In: International Journal on Semantic Web and Information … 13 (2017) 4, pp. 134-154

The increase in the amount of structured data published on the Web using the principles of Linked Data means that now it is more likely to find resources on the Web of Data that represent real life concepts. Discovering and recommending resources on the Web of Data related to a given resource is...

Persistent link: https://www.econbiz.de/10012048275

Disambiguating the Twitter Stream Entities and Enhancing the Search Operation Using DBpedia Ontology: Named Entity Disambiguation for Twitter Streams

Kumar, N. Senthil; Muruganantham, Dinakaran - In: International Journal of Information Technology and Web … 11 (2016) 2, pp. 51-62

effectively link them to the appropriate mentions of the knowledge base (DBpedia). They finally evaluate the approaches that … uniquely identify the DBpedia URIs of the selected entities and eliminate the other candidate mentions of the entities based on …

Persistent link: https://www.econbiz.de/10012046082

Bayes-ReCCE: A Bayesian Model for Detecting Restriction Class Correspondences in Linked Open Data Knowledge Bases

Walshe, Brian; Brennan, Rob; O'Sullivan, Declan - In: International Journal on Semantic Web and Information … 12 (2016) 2, pp. 25-52

Linked Open Data consists of a large set of structured data knowledge bases which have been linked together, typically using equivalence statements. These equivalences usually take the form of owl:sameAs statements linking individuals, but links between classes are far less common. Often, the...

Persistent link: https://www.econbiz.de/10012048236

The knowledge organization of DBpedia: a case study

Pattuelli, Cristina; Rubinow, Sara - In: Journal of Documentation 69 (2013) 6, pp. 762-772

Purpose – This paper investigates the semantic structure underlying DBpedia, one of the largest and most heavily used … organization tool. Design/methodology/approach – The research followed a case study methodology to analyze DBpedia using the domain … descriptive and classification approaches are employed concurrently. The semantic constructs employed in the DBpedia knowledge …

Persistent link: https://www.econbiz.de/10014855235