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2021 Journal of Science and Technology - IUH  
Therefore, this paper introduces an approach to extending query sentences for semantic oriented search on knowledge graph.  ...  RDF, OWL usually is used the cases when data structure is objects which the relationship among the objects is simple.  ...  CONCLUSIONS AND FUTURE WORKS A novel approach is proposed in this paper has been for extending queries to search semantic-based keyword on knowledge graph.  ... 
doi:10.46242/jst-iuh.v50i08.980 fatcat:qwzvlq7d45cqxhhpbma6yf3ava

Exploratory querying of extended knowledge graphs

Mohamed Yahya, Klaus Berberich, Maya Ramanath, Gerhard Weikum
2016 Proceedings of the VLDB Endowment  
Knowledge graphs (KGs) are important assets for search, analytics, and recommendations.  ...  Second, KGs are bound to be incomplete, as they capture only major facts about entities and their relationships and miss out on many of the more subtle aspects.  ...  FRAMEWORK Extended Knowledge Graph (XKG) No KG will ever be complete.  ... 
doi:10.14778/3007263.3007299 fatcat:jcakqg332neevmwbxv6hvzk4my

Temporal Extensions to RDF

Hsien-Tseng Wang, Abdullah Uz Tansel, Abdullah Uz Tansel, Abdullah Uz Tansel
2019 Journal of Web Engineering  
To this date, there are many proposals extending RDF and OWL for handling temporal data and knowledge. They all focus on the valid time.  ...  Some of these proposals stay compliant to the RDF and OWL standards whereas others add new constructs to RDF model and SPARQL query language.  ...  Additionally, query processing for the C-Temporal graph is reduced to matching query patterns on the closed graph.  ... 
doi:10.13052/jwe1540-9589.18134 fatcat:xew4zzpn6vfppjrfw4o3cv7zoq

Predicting the relationships between gut microbiota and mental disorders with knowledge graphs

Ting Liu, Xueli Pan, Xu Wang, K. Anton Feenstra, Jaap Heringa, Zhisheng Huang
2020 Health Information Science and Systems  
Results show that the MiKG4MD knowledge graph is an effective method to predict the relationships between gut microbiota and mental disorders.  ...  In this study, we propose to construct a gut microbiota knowledge graph for mental disorder, which named as MiKG4MD.  ...  The support of a knowledge graph for practical applications much depends on the construction of implicit relationships.  ... 
doi:10.1007/s13755-020-00128-2 pmid:33262885 pmcid:PMC7686388 fatcat:mami4udy3zdu3d4k6cnhdfvek4

Designing a Business View of Enterprise Data

Bastien Vidé, Joan Marty, Franck Ravat, Max Chevalier
2021 25th International Database Engineering & Applications Symposium  
In this paper, we introduce the concepts of Enterprise Knowledge Graph (EKG) and Decentralised EKG (DEKG).  ...  A few less researches have been done around the querying side of Enterprise Knowledge Graphs [30] .  ...  This Decentralised Enterprise Knowledge Graph can be used by organisation to build Enterprise Knowledge Graph which are not copying the original sources, while still allowing its users to query the source  ... 
doi:10.1145/3472163.3472276 fatcat:fphly7nhbfbuxhf5qqjcgqo52a

Towards context in large scale biomedical knowledge graphs [article]

Jens Dörpinghaus and Andreas Stefan, Bruce Schultz, Marc Jacobs
2020 arXiv   pre-print
Here, we propose a multiple step knowledge graph approach using labeled property graphs based on polyglot persistence systems to utilize context data for context mining, graph queries, knowledge discovery  ...  This dense graph has more than 71M nodes and 850M relationships. We discuss the impact of this novel approach with 27 real world use cases represented by graph queries.  ...  In addition we thank Alexander Esser for his input on the initial research paper. We thank Martin Hofmann-Apitius for supporting this research activity and his valuable input.  ... 
arXiv:2001.08392v1 fatcat:7ichvia6kjgobfa4qnwyf3d5au

A Graph Database Model for Knowledge Extracted from Place Descriptions

Hao Chen, Maria Vasardani, Stephan Winter, Martin Tomko
2018 ISPRS International Journal of Geo-Information  
The demonstration of how the extended model overcomes limitations of the original place graph in georeferencing, reasoning, and querying tasks based on three experiments.  ...  The model is implemented using the Neo4j graph database, and a management system has also been developed that allows operations including querying, mapping, and visualizing the stored knowledge in an extended  ...  Experiment III: spatial knowledge querying All the queries to the original place graph can still be performed in the extended place graph, e.g., 'find the relationship between two places', or 'find places  ... 
doi:10.3390/ijgi7060221 fatcat:7catscbto5bchliameeej4fdnu

PEGASE: A Knowledge Graph for Search and Exploration in Pharmacovigilance Data

Carlos Bobed, Laura Douze, Sébastien Ferré, Romaric Marcilly
2018 International Conference Knowledge Engineering and Knowledge Management  
First, we have developed a knowledge graph that relies on the OntoADR ontology to semantically enrich the MedDRA terminology with SNOMED CT concepts, and that includes anonymized patient data from FAERS  ...  In this paper, we present our approach to enhance the way pharmacovigilance specialists perform search and exploration on their data.  ...  PEGASE Knowledge Graph To build our knowledge graph, we have adapted OntoADR [3] , extending it with SMQs (Standardised MedDRA Queries) [5] and anonymized patient data from FAERS dataset [1] to show  ... 
dblp:conf/ekaw/BobedDFM18 fatcat:qenb6uasobcbznzhhkwld54nym


Gjergji Kasneci, Fabian M. Suchanek, Georgiana Ifrim, Shady Elbassuoni, Maya Ramanath, Gerhard Weikum
2008 Proceedings of the 2008 ACM SIGMOD international conference on Management of data - SIGMOD '08  
NAGA operates on a knowledge graph, which contains millions of entities and relationships derived from various encyclopedic Web sources, such as the ones above.  ...  NAGA's graph-based query language is geared towards expressing queries with additional semantic information.  ...  Figure 3 : 3 Example fragment of the knowledge graph Figure 4: A discovery query with one answer on query edges.  ... 
doi:10.1145/1376616.1376756 dblp:conf/sigmod/KasneciSIERW08 fatcat:e3a2x4olfrgyrd6awttu2ih2tm

Mining Dynamic Graph Streams for Predictive Queries Under Resource Constraints [chapter]

Xuanming Liu, Tingjian Ge
2020 Lecture Notes in Computer Science  
Answering predictive relationship queries over such a stream is very challenging as the heterogeneous graph streams imply complex topological and temporal correlations of knowledge facts, as well as fast  ...  Knowledge graph streams are a data model underlying many online dynamic data applications today.  ...  Predictive Relationship Queries. Given a knowledge graph stream, we focus on predictive relationship queries.  ... 
doi:10.1007/978-3-030-47436-2_3 fatcat:atsjmflmmrfofivhzacqcwc5hi

Construction and applications of knowledge graph of porphyry copper deposits

Yongzhang Zhou, Qianlong Zhang, Wenjie Shen, Fan Xiao, Yanlong Zhang, Shiwu Zhou, Yongjian Huang, Junjie Ji, Lei Tang, Chong Ouyang
2021 Earth sciences and subsoil use  
ES-MS-ES-PS knowledge graph, and the knowledge graph, big data mining and artificial intelligence based on ES-resource prospectivity, and assessment theory, and methods.  ...  study may be extended to mineral resource prospectivity and assessment beyond today.  ...  Query a label, for example, that has a directed relationship with a node.  ... 
doi:10.21285/2686-9993-2021-44-3-204-218 fatcat:7zur3kpelrejbmukwcxbzcfeke

Temporality in Semantic Web

Hsien-Tseng Wang, Abdullah Uz Tansel
2017 DEStech Transactions on Engineering and Technology Research  
In this paper, we provide a brief survey of temporal aspects of major Semantic Web data models and query languages, focusing on temporal RDF and temporal OWL.  ...  The Semantic Web initiative has helped the development of semantic-based data models and languages for manipulating data and knowledge by the machines.  ...  Nguyen et al. propose the concept of Singleton Property for representing and querying meta knowledge in [14] . The approach makes every relationship universally unique.  ... 
doi:10.12783/dtetr/amma2017/13358 fatcat:5ytuflljr5a4lex6ghz5whmffq

R2DB: A System for Querying and Visualizing Weighted RDF Graphs

Songling Liu, Juan P. Cedeno, K. Selçuk Candan, Maria Luisa Sapino, Shengyu Huang, Xinsheng Li
2012 2012 IEEE 28th International Conference on Data Engineering  
1 Existing RDF query languages and RDF stores fail to support a large class of knowledge applications which associate utilities or costs on the available knowledge statements.  ...  Here, we introduce and demonstrate R 2 DB, a database system for querying weighted RDF graphs.  ...  Secondly, we use a knowledge base containing author relationships based on a subset of the online DBLP database (http : // ∼ ley/db/) [16] .  ... 
doi:10.1109/icde.2012.134 dblp:conf/icde/LiuCCSHL12 fatcat:z6f5jfl56zcwjcivimxev4e7ge

Exploring the Microbiota-Gut-Brain Axis for Mental Disorders with Knowledge Graphs

Ting Liu, Xueli Pan, Xu Wang, K. Anton Feenstra, Jaap Heringa, Zhisheng Huang
2020 Journal of Artificial Intelligence for Medical Sciences  
In this paper, we therefore propose a novel Microbiota Knowledge Graph based on a newly constructed knowledge graph for uncovering the potential associations among gut microbiota, neurotransmitters, and  ...  This paper present MiKG, an effective knowledge graph, that can be used to investigate the MGB axis using the relationships among gut microbiota, neurotransmitters, and mental disorders.  ...  In this study, a knowledge graph is suitable for us to integrate, analyze, and further extend the knowledge of the MGB axis.  ... 
doi:10.2991/jaims.d.201208.001 fatcat:ookmi2fm5fbodjxj23zqiu77e4

Enabling the Analysis of Cross-Cutting Aspects in Ad-Hoc Processes [chapter]

Seyed-Mehdi-Reza Beheshti, Boualem Benatallah, Hamid Reza Motahari-Nezhad
2013 Lecture Notes in Computer Science  
The introduced approaches have been implemented on top of FPSPARQL, Folder-Path enabled extension of SPARQL, and experimentally validated on real-world datasets.  ...  Processes in case management applications are flexible, knowledge-intensive and people-driven, and often used as guides for workers in processing of artifacts.  ...  Activities of knowledge workers in knowledge intensive processes involve directly working on and manipulating artifacts to the extent that these activities can be considered as artifact-centric activities  ... 
doi:10.1007/978-3-642-38709-8_4 fatcat:xedzlw6zwjdcjerlaciuzpliyq
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