Querying semi-structured data with graph grammars

被引:1
|
作者
Furfaro, F [1 ]
机构
[1] Univ Calabria, DEIS, I-87036 Arcavacata Di Rende, CS, Italy
关键词
D O I
10.1109/ITCC.2002.1000404
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Recently research has deeply investigated the problem of querying semi-structured data and data which can be represented by means of graphs (e.g. object-oriented data, XML data, etc.). Typically queries on graph-like data, called path queries, are expressed by means of regular expressions denoting paths in the graph. The result of a path query is the set of nodes reachable by means of a path expressed by a specified regular expression. In this paper we investigate the problem of extracting a subgraph satisfying a given property from a given graph representing some information. We propose a new form of queries, called graph queries, whose answers are (marked) graphs having a particular structure, extracted from the source graph. We show that a simple form of graph grammars can be profitably used to define graph queries. The result of a graph query, using a grammar G over a database D, is a subgraph of D 'matching' a graph derived from G.
引用
收藏
页码:288 / 293
页数:6
相关论文
共 50 条
  • [41] A partition index for XML and semi-structured data
    Kim, J
    Kim, HJ
    DATA & KNOWLEDGE ENGINEERING, 2004, 51 (03) : 349 - 368
  • [42] An Overview on Supervised Semi-structured Data Classification
    Zhang, Lijun
    Li, Ning
    Li, Zhanhuai
    2021 IEEE 8TH INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA), 2021,
  • [43] On Repairing Structural Problems In Semi-structured Data
    Korn, Flip
    Saha, Barna
    Srivastava, Divesh
    Ying, Shanshan
    PROCEEDINGS OF THE VLDB ENDOWMENT, 2013, 6 (09): : 601 - 612
  • [44] Dimensions of ignorance in a semi-structured data model
    Magnani, M
    Montesi, D
    15TH INTERNATIONAL WORKSHOP ON DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS, 2004, : 933 - 937
  • [45] Schema Matching for Semi-structured and Linked Data
    Kettouch, Mohamed
    Luca, Cristina
    Hobbs, Mike
    2017 11TH IEEE INTERNATIONAL CONFERENCE ON SEMANTIC COMPUTING (ICSC), 2017, : 270 - 271
  • [46] FINDER:: A mediator system for structured and semi-structured data integration
    Alvarez, M
    Pan, A
    Raposo, J
    Cacheda, F
    Viña, A
    13TH INTERNATIONAL WORKSHOP ON DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS, 2002, : 847 - 851
  • [47] Supporting structured, semi-structured and unstructured data in digital libraries
    Sánchez, JA
    Proal, C
    Maldonado-Naude, F
    PROCEEDINGS OF THE FIFTH MEXICAN INTERNATIONAL CONFERENCE IN COMPUTER SCIENCE (ENC 2004), 2004, : 368 - 375
  • [48] INFOTABS: Inference on Tables as Semi-structured Data
    Gupta, Vivek
    Mehta, Maitrey
    Nokhiz, Pegah
    Srikumar, Vivek
    58TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2020), 2020, : 2309 - 2324
  • [49] Building web warehouse for semi-structured data
    Mohania, M
    DATA & KNOWLEDGE ENGINEERING, 2001, 39 (02) : 101 - 103
  • [50] Parameterized Mapping Distances for Semi-Structured Data
    Shin, Kilho
    Niiyama, Taro
    AGENTS AND ARTIFICIAL INTELLIGENCE, ICAART 2018, 2019, 11352 : 443 - 466