Query Conservative Extensions in Horn Description Logics with Inverse Roles

被引:0
|
作者
Jung, Jean Christoph [1 ]
Lutz, Carsten [1 ]
Martel, Mauricio [1 ]
Schneider, Thomas [1 ]
机构
[1] Univ Bremen, Fachbereich Informat, Bremen, Germany
来源
PROCEEDINGS OF THE TWENTY-SIXTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE | 2017年
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We investigate the decidability and computational complexity of query conservative extensions in Horn description logics (DLs) with inverse roles. This is more challenging than without inverse roles because characterizations in terms of unbounded homomorphisms between universal models fail, blocking the standard approach to establishing decidability. We resort to a combination of automata and mosaic techniques, proving that the problem is 2EXPTIME-complete in Horn-ALCHIF (and also in Horn-ALC and in ELI). We obtain the same upper bound for deductive conservative extensions, for which we also prove a CONEXPTIME lower bound.
引用
收藏
页码:1116 / 1122
页数:7
相关论文
共 50 条
  • [21] Data complexity of query answering in description logics
    Calvanese, Diego
    De Giacomo, Giuseppe
    Lembo, Domenico
    Lenzerini, Maurizio
    Rosati, Riccardo
    ARTIFICIAL INTELLIGENCE, 2013, 195 : 335 - 360
  • [22] Query Answering in Description Logics: The Knots Approach
    Eiter, Thomas
    Lutz, Carsten
    Ortiz, Magdalena
    Simkus, Mantas
    LOGIC, LANGUAGE, INFORMATION AND COMPUTATION, 2009, 5514 : 26 - +
  • [23] Controlled query evaluation in description logics through consistent query answering
    Cima, Gianluca
    Lembo, Domenico
    Rosati, Riccardo
    Savo, Domenico Fabio
    ARTIFICIAL INTELLIGENCE, 2024, 334
  • [24] Expressive reasoning with horn rules and fuzzy description logics
    Theofilos Mailis
    Giorgos Stoilos
    Giorgos Stamou
    Knowledge and Information Systems, 2010, 25 : 105 - 136
  • [25] Ontology-Mediated Querying with Horn Description Logics
    Sabellek, Leif
    KUNSTLICHE INTELLIGENZ, 2020, 34 (04): : 533 - 537
  • [26] Expressive reasoning with horn rules and fuzzy description logics
    Mailis, Theofilos
    Stoilos, Giorgos
    Stamou, Giorgos
    KNOWLEDGE AND INFORMATION SYSTEMS, 2010, 25 (01) : 105 - 136
  • [27] The limits on combining recursive horn rules with description logics
    Levy, AY
    Rousset, MC
    PROCEEDINGS OF THE THIRTEENTH NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE, VOLS 1 AND 2, 1996, : 577 - 584
  • [28] Combining description logics and Horn rules with uncertainty in ARTIGENCE
    Zheng, Xiaoqing
    KNOWLEDGE-BASED SYSTEMS, 2011, 24 (05) : 595 - 608
  • [29] Ontology-Mediated Querying with Horn Description Logics
    Leif Sabellek
    KI - Künstliche Intelligenz, 2020, 34 : 533 - 537
  • [30] Expressive reasoning with horn rules and fuzzy description logics
    Mailis, Theofilos
    Stoilos, Giorgos
    Stamou, Giorgos
    WEB REASONING AND RULE SYSTEMS, PROCEEDINGS, 2007, 4524 : 43 - +