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Constructing and Mining Web-scale Knowledge Graphs

Evgeniy Gabrilovich, Nicolas Usunier
2016 Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval - SIGIR '16  
SIGIR 2016 Tutorial on Constructing and Mining Web-scale Knowledge Graphs, Pisa, Italy, July 17, 2016 Challenge: Disparity of opinion SIGIR 2016 Tutorial on Constructing and Mining Web-scale Knowledge  ...  85 SIGIR 2016 Tutorial on Constructing and Mining Web-scale Knowledge Graphs, Pisa, Italy, July 17, 2016 PART 2: METHODS AND TECHNIQUES 86 SIGIR 2016 Tutorial on Constructing and Mining Web-scale  ... 
doi:10.1145/2911451.2914807 dblp:conf/sigir/GabrilovichU16 fatcat:476dnzcsyrf4zivwl3ere66bau

NOUS: Construction and Querying of Dynamic Knowledge Graphs

Sutanay Choudhury, Khushbu Agarwal, Sumit Purohit, Baichuan Zhang, Meg Pirrung, Will Smith, Mathew Thomas
2017 2017 IEEE 33rd International Conference on Data Engineering (ICDE)  
The ability to construct domain specific knowledge graphs (KG) and perform question-answering or hypothesis generation is a transformative capability.  ...  Despite their value, automated construction of knowledge graphs remains an expensive technical challenge that is beyond the reach for most enterprises and academic institutions.  ...  We would also like to thank the OpenKE team at Laboratory for Analytic Sciences for their continuous support and feedback.  ... 
doi:10.1109/icde.2017.228 dblp:conf/icde/ChoudhuryAPZPST17 fatcat:g7kzogldv5ahdig7i7u5epmgda

NOUS: Construction and Querying of Dynamic Knowledge Graphs [article]

Sutanay Choudhury and Khushbu Agarwal and Sumit Purohit and Baichuan Zhang and Meg Pirrung and Will Smith and Mathew Thomas
2016 arXiv   pre-print
The ability to construct domain specific knowledge graphs (KG) and perform question-answering or hypothesis generation is a transformative capability.  ...  Despite their value, automated construction of knowledge graphs remains an expensive technical challenge that is beyond the reach for most enterprises and academic institutions.  ...  We would also like to thank the OpenKE team at Laboratory for Analytic Sciences for their continuous support and feedback.  ... 
arXiv:1606.02314v1 fatcat:vgm6fiorafbpfp56uafxyyj2fe

Knowledge graphs: Construction, management and querying

Mayank Kejriwal, Juan Sequeda, Vanessa Lopez
2019 Semantic Web Journal  
and data at scale by using graphs and semantics as a means to integrate, unify, interpret, augment and query data from diverse and multiple sources at web scale.  ...  Web-scale commercial applications that are directly pertinent to research that has long been a staple in the Semantic Web and the widespread use of knowledge graphs across diverse data-driven industries  ... 
doi:10.3233/sw-190370 fatcat:sui2f6uqsvc3bfvrtm2puqz3ui

A Survey of Techniques for Constructing Chinese Knowledge Graphs and Their Applications

Tianxing Wu, Guilin Qi, Cheng Li, Meng Wang
2018 Sustainability  
Afterwards, we present the details of techniques for constructing Chinese knowledge graphs, and demonstrate several applications of Chinese knowledge graphs.  ...  Techniques for building Chinese knowledge graphs are also developing rapidly and different Chinese knowledge graphs have been constructed to support various applications.  ...  Anna Visvizi and Prof. Miltiadis D. Lytras who gave a lot of suggestions on how knowledge graphs impact the implementation of OBOR.  ... 
doi:10.3390/su10093245 fatcat:wrqgfkwfanfejnffn6nyr4nqbq

A Survey on State-of-the-art Techniques for Knowledge Graphs Construction and Challenges ahead [article]

Ali Hur, Naeem Janjua, Mohiuddin Ahmed
2021 arXiv   pre-print
As an outcome, enterprises are putting their effort into constructing and maintaining knowledge graphs to support various downstream applications. Manual approaches are too expensive.  ...  The knowledge graph is an emerging technology that allows logical reasoning and uncovers new insights using content along with the context.  ...  Mao, and W. Zhao, "Knowledge graphs completion via [2] X. Dong et al., "Knowledge vault: A web-scale approach to probabilistic reasoning," Inf. Sci.  ... 
arXiv:2110.08012v2 fatcat:q6utzgjahfehpftol3dttgolui

Research Methodology on Web Mining for Malware Detection
English

Shaik. Irfan Babu, Dr. M.V.P. Chandra Sekhara Rao, G.Nagi Reddy
2014 International Journal of Computer Trends and Technology  
The proposed web mining methodology uses web structure mining, using graph mining for malware detection with a case study proposed on cloud mining.  ...  In this review paper we want to discuss Research Methodology on Web mining for Malware detection.  ...  INTRODUCTION Web Mining is based on knowledge discovery from web. It is extract the knowledge framework represents in a proper way.  ... 
doi:10.14445/22312803/ijctt-v12p131 fatcat:tt4nfblmhfb43a5a5j7hrew2pm

Intelligent Development Environment and Software Knowledge Graph

Ze-Qi Lin, Bing Xie, Yan-Zhen Zou, Jun-Feng Zhao, Xuan-Dong Li, Jun Wei, Hai-Long Sun, Gang Yin
2017 Journal of Computer Science and Technology  
Software knowledge graph is a software knowledge representation and management framework, which plays an important role in IntelliDE.  ...  In this paper, we put forward two key concepts -intelligent development environment (IntelliDE) and software knowledge graph -for the first time.  ...  Software big data is web-scale, distributed, multi-source, heterogeneous, dynamic and fastgrowing.  ... 
doi:10.1007/s11390-017-1718-y fatcat:htzrwi6a4fcaloevxrvjpzd43m

Research Challenges for Data Mining in Science and Engineering [chapter]

Jiawei Han, Jing Gao
2008 Chapman & Hall/CRC Data Mining and Knowledge Discovery Series  
, and understanding of patterns and knowledge, (3) stream data mining, (4) mining moving object data, RFID data, and data from sensor networks, (5) spatiotemporal and multimedia data mining, (6) mining  ...  text, Web, and other unstructured data, (7) data cube-oriented multidimensional online analytical mining, (8) visual data mining, and (9) data mining by integration of sophisticated scientific and engineering  ...  Its virtually unlimited scope and scale render immense opportunities for data mining.  ... 
doi:10.1201/9781420085877.pt1 fatcat:ljs2uybdofgkxfpouawfekdaz4

WebKDD/SNAKDD 2007

Haizheng Zhang, John Yen, C. Lee Giles, Bamshad Mombaster, Myra Spiliopoulou, Jaideep Srivastava, Olfa Nasraoui, Andrew McCallum
2007 SIGKDD Explorations  
Conference on Knowledge Discovery and Data Mining (KDD 2007), August 12-15, 2007, in San Jose, California.  ...  The joint 9th WEBKDD and 1st SNA-KDD workshop was co-held with KDD 2007 and solicited papers on broad overview subject "Web Mining and Social Network Analysis".  ...  Her research is on the development and enhancement of knowledge discovery methods for person-web interaction, for text analysis and for knowledge management.  ... 
doi:10.1145/1345448.1345468 fatcat:ovkzknykhzfizphljpcdggdnoq

Small-world linkage and co-linkage

Lennart Björneborn
2001 Proceedings of the twelfth ACM conference on Hypertext and Hypermedia - HYPERTEXT '01  
Web graph.  ...  The paper presents ideas from a current research project concerned with link structures and small-world phenomena on the WWW, with possible implications for knowledge discovery or 'web mining'.  ...  possible implications for knowledge discovery or 'web mining' [5] .  ... 
doi:10.1145/504248.504252 fatcat:uim6imfecrdkrbucv6metx4dpm

Small-world linkage and co-linkage

Lennart Björneborn
2001 Proceedings of the twelfth ACM conference on Hypertext and Hypermedia - HYPERTEXT '01  
Web graph.  ...  The paper presents ideas from a current research project concerned with link structures and small-world phenomena on the WWW, with possible implications for knowledge discovery or 'web mining'.  ...  possible implications for knowledge discovery or 'web mining' [5] .  ... 
doi:10.1145/504216.504252 dblp:conf/ht/Bjorneborn01 fatcat:tqiaedelgfen5ncfgokwxhvl6m

GARUDA

Satyajit Bhadange, Akhil Arora, Arnab Bhattacharya
2016 Proceedings of the VLDB Endowment  
With the availability and growth of large-scale real-world graphs, mining for such subgraphs has become the need of the hour for graph miners as well as non-technical end-users.  ...  In this demo, we present GARUDA, a system capable of mining large-scale graphs for statistically significant subgraphs in a scalable manner, and provide: (1) a detailed description of the various features  ...  GARUDA runs as a web-service featuring a GUI to enable users mine large-scale real-world graphs.  ... 
doi:10.14778/3007263.3007281 fatcat:sijagjf7vjbmniw5n3dsegtpp4

Evolving from Bioinformatics in-the-Small to Bioinformatics in-the-Large

D. Stott Parker, Michael M. Gorlick, Christopher J. Lee
2003 Omics  
These examples both suggest the benefit of explicitly defining and managing knowledge flows and knowledge maps (which represent metadata regarding types, flows, and dependencies), and also suggest approaches  ...  Dependencies represent the complexities of large-scale integration, including the requirements and assumptions governing the composition of tools.  ...  useful construct in data mining.  ... 
doi:10.1089/153623103322006580 pmid:12831555 fatcat:fkek5r75fnh3hhweboa4557rn4

Concurrency In Web Access Patterns Mining

Jing Lu, Malcolm Keech, Weiru Chen
2009 Zenodo  
From experiments conducted on large-scale synthetic sequence data as well as real web access data, it is demonstrated that CAP mining provides a powerful method for structural knowledge discovery, which  ...  This paper proposes a novel model called Web Access Patterns Graph (WAP-Graph) to represent all of the access patterns from web mining graphically.  ...  WAP-Graph Construction The approach to construction of a WAP-Graph is described below.  ... 
doi:10.5281/zenodo.1074754 fatcat:holownkbbffzzlha34vqncrtrm
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