Searched for: subject%3A%22knowledge%255C+graph%22
(1 - 10 of 10)
document
Xu, Ke (author)
The problem of assisting users in comprehending the robotic scenario information in a retail setting has been studied. To design the system, an integrated ontology composed of several IEEE standard ontologies and a labelled property graph (LPG)-based ontology modified from the Web Ontology Language (OWL)-based ontology was proposed to symbolize...
master thesis 2023
document
Kurteva, A.K. (author), Chhetri, Tek Raj (author), Tauqeer, Amar (author), Hilscher, Rainer (author), Fensel, Anna (author), Nagorny, Kevin (author), Correia, Ana (author), Zilverberg, Albert (author), Schstakov, Stefan (author)
The adoption of the General Data Protection Regulation (GDPR) has resulted in a significant shift in how the data of European Union citizens is handled. A variety of data sharing challenges in scenarios such as smart cities have arisen, especially when attempting to semantically represent GDPR legal bases, such as consent, contracts and the...
journal article 2023
document
Izadi, M. (author), Nejati, Mahtab (author), Heydarnoori, Abbas (author)
Software-related platforms such as GitHub and Stack Overflow, have enabled their users to collaboratively label software entities with a form of metadata called topics. Tagging software repositories with relevant topics can be exploited for facilitating various downstream tasks. For instance, a correct and complete set of topics assigned to a...
journal article 2023
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Huang, Y. (author), Yu, Suihuai (author), Chu, Jianjie (author), Su, Zhaojing (author), Zhu, Yaokang (author), Wang, Hanyu (author), Wang, Mengcheng (author), Fan, Hao (author)
Design knowledge is critical to creating ideas in the conceptual design stage of product development for innovation. Fragmentary design data, massive multidisciplinary knowledge call for the development of a novel knowledge acquisition approach for conceptual product design. This study proposes a Design Knowledge Graph-aided (DKG-aided)...
journal article 2023
document
Zhang, Xiaoyu (author), Li, Jianping (author), Chi, Po Wei (author), Chandrasegaran, R.S.K. (author), Ma, Kwan Liu (author)
With the most advanced natural language processing and artificial intelligence approaches, effective summarization of long and multi-topic documents - such as academic papers - for readers from different domains still remains a challenge. To address this, we introduce ConceptEVA, a mixed-initiative approach to generate, evaluate, and...
conference paper 2023
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Huang, Y. (author), Yu, S. Suihuai (author), Chu, J. Jianjie (author), Fan, H. Hao (author), Du, B. Bin (author)
Cultural heritage management poses significant challenges for museums due to fragmented data, limited intelligent frameworks, and insufficient applications. In response, a digital cultural heritage management approach based on knowledge graphs and deep learning algorithms is proposed to address the above challenges. A joint entity-relation...
journal article 2023
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Huang, Yu Jie (author), Cheng, Shuo (author), Yang, Fu Qiang (author), Chen, C. (author)
To objectively grasp the current situation and development trend of resilient cities or communities (RC) research. The articles in Web of Science (WOS) Core Collection databases from 1995 to 2022 were used as a sample, and bibliometrics was used to statistically analyze the year of publication and number of articles, highly cited documents...
review 2022
document
Van Steenweghen, Abel (author)
Sentiment analysis techniques estimate the opinion of the au- thor of a text towards an entity from that text. Current sen- timent analysis techniques are based on language features or deep learning methods. However, they do not make use of the extensive background knowledge that human readers can have. This makes it difficult for these models...
bachelor thesis 2021
document
Kumar, Paras (author)
With the rapid growth of unstructured data across different mediums, it exposes new challenges for its analysis. To overcome this, data processing pipelines are designed with the help of different tools and technologies for the analysis of data at different stages. One of the applications which we find useful for our company is the creation of...
master thesis 2020
document
Sun, Zhu (author), Yang, J. (author), Zhang, J. (author), Bozzon, A. (author), Huang, Long Kai (author), Xu, Chi (author)
Knowledge graphs (KGs) have proven to be effective to improve recommendation. Existing methods mainly rely on hand-engineered features from KGs (e.g., meta paths), which requires domain knowledge. This paper presents RKGE, a KG embedding approach that automatically learns semantic representations of both entities and paths between entities...
conference paper 2018
Searched for: subject%3A%22knowledge%255C+graph%22
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