Welcome to Data Intelligence!
News
Classify by discipline

Editorial Office
National Science Library, Chinese Academy of Sciences
Address: 33 Beisihuan Xilu, Haidian, Beijing, 100190, P.R. China
Tel: +86-10-82626611 ext 6520
Tel(fax): +86-10-62537554
Email: data@mail.las.ac.cn
Website: http://www.data-intelligence.org


Publish (16) Online First (0) Advanced Search
Learning to Complete Knowledge Graphs with Deep Sequential Models
Authors: Lingbing Guo, Qingheng Zhang, Wei Hu et al.
Institution:State Key Laboratory for Novel Software Technology, Nanjing University, China
Keywords:Knowledge graph;entity prediction;triple prediction;recurrent neural network
doi:10.1162/dint_a_00016
Issue 3: 224-243, 2019 | PDF

Published: May 15, 2019
Views:69
Abstract: Knowledge graph (KG) completion aims at filling the missing facts in a KG, where a fact is typically represented as a triple in the form of
Virtual Knowledge Graphs: An Overview of Systems and Use Cases
Authors: Guohui Xiao; Linfang Ding; Benjamin Cogrel; Diego Calvanese
Institution:KRDB Research Centre for Knowledge and Data, Free University of Bozen-Bolzano, Bolzano 39100, Italy; Technical University of Munich, Munich 80333, Germany
Keywords:Virtual knowledge graph;Ontology-based data access;Data integration;Data virtualization
doi:10.1162/dint_a_00011
Issue 3: 201-223, 2019 | PDF

Published: May 5, 2019
Views:502
Abstract: In this paper, we present the virtual knowledge graph (VKG) paradigm for data integration and access, also known in the literature as Ontology-based Data Access. Instead of structuring the integrat...
Joint Entity and Event Extraction with Generative Adversarial Imitation Learning
Authors: Tongtao Zhang, Heng Ji, Avirup Sil
Institution:Computer Science Department, Rensselaer Polytechnic Institute, Troy, -, USA
Keywords:Information extraction;Event extraction;Imitation learning;Generative adversarial network
doi:10.1162/dint_a_00014
Issue 2: 99-120, 2019 | PDF

Published: March 19, 2019
Views:960
Abstract: We propose a new framework for entity and event extraction based on generative adversarial imitation learning—an inverse reinforcement learning method using a generative adversarial network (GAN). ...
Microsoft Concept Graph:Mining Semantic Concepts for Short Text Understanding
Authors: Lei Ji, Yujing Wang, Botian Shi et al.
Institution:Microsoft Research Asia
Keywords:Knowledge Extraction;Conceptualization;Text Understanding
doi:10.1162/dint_a_00013
Issue 3, 2019 | PDF

Published:
Views:1253
Abstract: Knowlege is important for text-related applications. In this paper, we introduce Microsoft Concept Graph, a knowledge graph engine that provides concept tagging APIs to facilitate the understanding...
Constructing a Scene-Based Knowledge System for E-Commerce Industries: Business Analysis and Challenges
Authors: Min Fu, Qiang Chen, Wei Lin et al.
Institution:Alibaba Group
Keywords:E-commerce business;Scene-based;Knowledge system;Product categorization;Business goals;Business challenges
doi:10.1162/dint_a_00012
Issue 3, 2019 | PDF

Published:
Views:349
Abstract: Online marketers make efforts to sell more products to their customers to increase turnover. One way to sell more products is to ensure that products belonging to the same scene are offered togethe...