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001434589 001__ 1434589
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001434589 020__ $$a9783030715908$$q(electronic bk.)
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001434589 0247_ $$a10.1007/978-3-030-71590-8$$2doi
001434589 035__ $$aSP(OCoLC)1240834074
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001434589 24500 $$aMDATA :$$ba new knowledge representation model : theory, methods and applications /$$cYan Jia, Zhaoquan Gu, Aiping Li (eds.).
001434589 260__ $$aCham :$$bSpringer,$$c2021.
001434589 300__ $$a1 online resource
001434589 336__ $$atext$$btxt$$2rdacontent
001434589 337__ $$acomputer$$bc$$2rdamedia
001434589 338__ $$aonline resource$$bcr$$2rdacarrier
001434589 347__ $$atext file
001434589 347__ $$bPDF
001434589 4901_ $$aLecture Notes in Computer Science ;$$v12647
001434589 4901_ $$aLNCS sublibrary: SL 3, Information systems and applications, incl. internet/web, and HCI
001434589 500__ $$aIncludes author index.
001434589 5050_ $$aIntroduction to the MDATA Model -- The Framework of the MDATA Computing Model -- Spatiotemporal Data Cleaning and Knowledge Fusion -- Chinese Named Entity Recognition: Applications and Challenges -- Joint Extraction of Entities and Relations: An Advanced BERT-based Decomposition Method -- Entity Alignment: Optimization by Seed Selection -- Knowledge Extraction: Automatic Classification of Matching Rules -- Network Embedding Attack: An Euclidean Distance based Method -- Few-Shot Knowledge Reasoning: An Attention Mechanism based Method -- Applications of Knowledge Representation Learning -- Detection and Defense Methods of Cyber Attacks -- A Distributed Framework for APT Attack Analysis -- Social Unrest Events Prediction by Contextual Gated Graph Convolutional Networks -- Information Cascading in Social Networks.
001434589 506__ $$aAccess limited to authorized users.
001434589 520__ $$aKnowledge representation is an important task in understanding how humans think and learn. Although many representation models or cognitive models have been proposed, such as expert systems or knowledge graphs, they cannot represent procedural knowledge, i.e., dynamic knowledge, in an efficient way. This book introduces a new knowledge representation model called MDATA (Multi-dimensional Data Association and inTelligent Analysis). By modifying the representation of entities and relations in knowledge graphs, dynamic knowledge can be efficiently described with temporal and spatial characteristics. The MDATA model can be regarded as a high-level temporal and spatial knowledge graph model, which has strong capabilities for knowledge representation. This book introduces some key technologies in the MDATA model, such as entity recognition, relation extraction, entity alignment, and knowledge reasoning with spatiotemporal factors. The MDATA model can be applied in many critical applications and this book introduces some typical examples, such as network attack detection, social network analysis, and epidemic assessment. The MDATA model should be of interest to readers from many research fields such as database, cyberspace security, and social network, as the need for the knowledge representation arises naturally in many practical scenarios.
001434589 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 26, 2021).
001434589 650_0 $$aKnowledge representation (Information theory)
001434589 650_0 $$aInformation visualization.
001434589 650_6 $$aReprésentation des connaissances.
001434589 650_6 $$aVisualisation de l'information.
001434589 655_0 $$aElectronic books.
001434589 7001_ $$aJia, Yan$$c(Computer scientist)
001434589 7001_ $$aGu, Zhaoquan.
001434589 7001_ $$aLi, Aiping.
001434589 77608 $$iPrint version:$$tMDATA.$$dCham : Springer, 2021$$z3030715892$$z9783030715892$$w(OCoLC)1237630920
001434589 830_0 $$aLecture notes in computer science ;$$v12647.
001434589 830_0 $$aLNCS sublibrary.$$nSL 3,$$pInformation systems and applications, incl. Internet/Web, and HCI.
001434589 852__ $$bebk
001434589 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-71590-8$$zOnline Access$$91397441.1
001434589 909CO $$ooai:library.usi.edu:1434589$$pGLOBAL_SET
001434589 980__ $$aBIB
001434589 980__ $$aEBOOK
001434589 982__ $$aEbook
001434589 983__ $$aOnline
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