Managing Knowledge of Intelligent Systems The Design of a Chatbot Using Domain-Specific Knowledge

被引:0
|
作者
Grum, Marcus [1 ]
Kotarski, David [1 ]
Ambros, Maximilian [2 ]
Biru, Tibebu [2 ]
Krallmann, Hermann [2 ]
Gronau, Norbert [1 ]
机构
[1] Univ Potsdam, Potsdam, Germany
[2] Krallmann AG, Berlin, Germany
关键词
Domain-specific language; Morphologic box; Explainability;
D O I
10.1007/978-3-030-79976-2_5
中图分类号
F [经济];
学科分类号
02 ;
摘要
Since more and more business tasks are enabled by Artificial Intelligence (AI)-based techniques, the number of knowledge-intensive tasks increase as trivial tasks can be automated and non-trivial tasks demand human-machine interactions. With this, challenges regarding the management of knowledge workers and machines rise [9]. Furthermore, knowledge workers experience time pressure, which can lead to a decrease in output quality. Artificial Intelligence-based systems (AIS) have the potential to assist human workers in knowledge-intensive work. By providing a domain-specific language, contextual and situational awareness as well as their process embedding can be specified, which enables the management of human and AIS to ease knowledge transfer in a way that process time, cost and quality are improved significantly. This contribution outlines a framework to designing these systems and accounts for their implementation.
引用
收藏
页码:78 / 96
页数:19
相关论文
共 50 条
  • [41] On the Impact of Domain-specific Knowledge in Evolutionary Music Composition
    Sulyok, Csaba
    Harte, Christopher
    Bodo, Zalan
    [J]. PROCEEDINGS OF THE 2019 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO'19), 2019, : 188 - 197
  • [42] A DOMAIN-SPECIFIC SOFTWARE ARCHITECTURE FOR ADAPTIVE INTELLIGENT SYSTEMS
    HAYESROTH, B
    PFLEGER, K
    LALANDA, P
    MORIGNOT, P
    BALABANOVIC, M
    [J]. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 1995, 21 (04) : 288 - 301
  • [43] Investigating the network structure of domain-specific knowledge using the semantic fluency task
    Siew, Cynthia S. Q.
    Guru, Anutra
    [J]. MEMORY & COGNITION, 2023, 51 (03) : 623 - 646
  • [44] Investigating the network structure of domain-specific knowledge using the semantic fluency task
    Cynthia S. Q. Siew
    Anutra Guru
    [J]. Memory & Cognition, 2023, 51 : 623 - 646
  • [45] A Classification Method of Knowledge Cards in Japanese and Chinese by Using Domain-Specific Dictionary
    Liu, Xiaopeng
    Cai, Li
    Akiyoshi, Masanori
    Komoda, Norihisa
    [J]. DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, 2012, 151 : 453 - +
  • [46] Learning Domain-Specific and Domain-Independent Opinion Oriented Lexicons using Multiple Domain Knowledge
    Vishnu, K. Sai
    Apoorva, T.
    Gupta, Deepa
    [J]. 2014 SEVENTH INTERNATIONAL CONFERENCE ON CONTEMPORARY COMPUTING (IC3), 2014, : 318 - 323
  • [47] Domain-Specific Image Classification Using Ensemble Learning Utilizing Open-Domain Knowledge
    Sun, Han
    Yang, Jian
    [J]. 2019 INTERNATIONAL CONFERENCE ON COMPUTING, NETWORKING AND COMMUNICATIONS (ICNC), 2019, : 592 - 596
  • [48] Metacognitive knowledge in secondary education: Design and evaluation of domain-specific measurement method.
    Lingel, Klaus
    Neuenhaus, Nora
    Artelt, Cordula
    Schneider, Wolfgang
    [J]. ZEITSCHRIFT FUR PADAGOGIK, 2010, : 228 - 238
  • [49] Constructing domain-specific knowledge in kindergarten: Relations among knowledge, intelligence, and strategic performance
    Alexander, JM
    Johnson, KE
    Leibham, ME
    DeBauge, C
    [J]. LEARNING AND INDIVIDUAL DIFFERENCES, 2005, 15 (01) : 35 - 52
  • [50] Domain knowledge modelling for intelligent instructional systems
    Pecheanu, E
    Dumitriu, L
    Segal, C
    [J]. COMPUTATIONAL SCIENCE - ICCS 2004, PT 3, PROCEEDINGS, 2004, 3038 : 497 - 504