Zhisheng Huang
VU University Amsterdam
Description logicHuman–computer interactionData miningEngineeringLogic programmingWorld Wide WebProcess ontologyRDFArtificial intelligenceSemantic searchOntology (information science)Programming languageNatural language processingSemantic WebInformation retrievalData scienceContext (language use)Computer scienceProcess (engineering)ScalabilitySemantic computingSemantic technologyTheoretical computer scienceSemantic data model
229Publications
21H-index
1,954Citations
Publications 219
Newest
#1Ting Liu (VU: VU University Amsterdam)H-Index: 2
#2Xueli Pan (VU: VU University Amsterdam)H-Index: 2
Last. Zhisheng Huang (Capital Medical University)H-Index: 21
view all 6 authors...
Gut microbiota produce and modulate the production of neurotransmitters which have been implicated in mental disorders. Neurotransmitters may act as 'matchmaker' between gut microbiota imbalance and mental disorders. Most of the relevant research effort goes into the relationship between gut microbiota and neurotransmitters and the other between neurotransmitters and mental disorders, while few studies collect and analyze the dispersed research results in systematic ways. We therefore gather the...
1 CitationsSource
#1Guanghui Fu (Beijing University of Technology)H-Index: 1
#2Changwei Song (Beijing University of Technology)
Last. Zhisheng Huang (VU: VU University Amsterdam)H-Index: 21
view all 0 authors...
Background: Web-based social media provides common people with a platform to express their emotions conveniently and anonymously. There have been nearly 2 million messages in a particular Chinese social media data source, and several thousands more are generated each day. Therefore, it has become impossible to analyze these messages manually. However, these messages have been identified as an important data source for the prevention of suicide related to depression disorder. Objective: We propos...
Source
#1Zhisheng Huang (WUST: Wuhan University of Science and Technology)H-Index: 21
Last. Guanghua Liu (Fujian Medical University)
view all 6 authors...
Kawasaki Disease is a vasculitis syndrome that is extremely harmful to children. Kawasaki Disease can cause severe symptoms of ischemic heart disease or develop into ischemic heart disease, leading to death in children. Researchers and clinicians need to analyze various knowledge and data resources to explore aspects of Kawasaki Disease. Knowledge Graphs have become an important AI approach to integrating various types of complex knowledge and data resources. In this paper, we present an approac...
Source
#1Xu Wang (UvA: University of Amsterdam)H-Index: 4
#2Frank van Harmelen (UvA: University of Amsterdam)H-Index: 65
Last. Zhisheng Huang (UvA: University of Amsterdam)H-Index: 21
view all 3 authors...
Source
#1Zhisheng Huang (VU: VU University Amsterdam)H-Index: 21
#2Wouter Beek (VU: VU University Amsterdam)H-Index: 12
Last. Sören AuerH-Index: 55
view all 5 authors...
Source
#1Xu WangH-Index: 4
#2Zhisheng HuangH-Index: 21
Last. Frank van HarmelenH-Index: 65
view all 3 authors...
Ontology-based semantic similarity approaches play an important role in text-similarity task, thanks to its ability of explanation. Ontology-based semantic similarity approaches can explain how two terms are similar with help of rich knowledge in ontology. Information retrieval aims to find relevant information for given user query. As a subareas of information retrieval, dataset retrieval is an activity to find dataset which are relevant to an information need, by using full-text indexing appro...
Source
#1Xu WangH-Index: 4
#2Zhisheng HuangH-Index: 21
Last. Frank van HarmelenH-Index: 65
view all 3 authors...
Dataset search engines help scientists to find research datasets for scientific experiments. Current dataset search engines are query-driven, making them limited by the appropriate specification of search queries. An alternative would be to adopt a recommendation paradigm (“if you like this dataset, you’ll also like..”). Such a recommendation service requires an appropriate similarity metric between datasets. Various similarity measures have been proposed in computational linguistics and informa...
Source
#2Shaofu Lin (Beijing University of Technology)H-Index: 4
Last. Zhisheng Huang (UvA: University of Amsterdam)H-Index: 21
view all 3 authors...
Depressed patients release microblog information and pay attention to each other’s messages. After some depressed patients commit suicide or die for other reasons, there are still microblog messages gathering constantly, thus forming a “tree hole” - a channel for depressed patients to express their despair and suicide wish. Among them, in 2012, a microblog user died of depression, forming the largest microblog “tree hole”, with more than 1.6 million messages. Based on the data of “tree hole”, th...
Source
#1Ting LiuH-Index: 2
#2K. Anton FeenstraH-Index: 20
Last. Zhisheng HuangH-Index: 21
view all 4 authors...
3 CitationsSource
#1Jianqiang Li (THU: Tsinghua University)H-Index: 1
#2Shenhe Zhao (Beijing University of Technology)H-Index: 1
Last. Qing Wang (THU: Tsinghua University)H-Index: 76
view all 8 authors...
Deep learning has achieved remarkable success in a wide range of domains. However, it has not been comprehensively evaluated as a solution for the task of Chinese biomedical named entity recognition (Bio-NER). The traditional deep-learning approach for the Bio-NER task is usually based on the structure of recurrent neural networks (RNN) and only takes word embeddings into consideration, ignoring the value of character-level embeddings to encode the morphological and shape information. We propose...
47 CitationsSource