Information Structure Representation And Extraction From A Corpus Of Patient Data, Using An Ontology

被引:0
|
作者
Cote, Christian [1 ]
机构
[1] ERSICOM Univ Jean Moulin Lyon 3, 6 Cours Albert Thomas BP 8242, F-69355 Lyon 08, France
来源
关键词
information structure; information flow; semantic;
D O I
暂无
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
We propose a methodology to model the information structure for its extraction from any medical text. We experiment this extraction in a corpus that represents the information system of a specific professional activity in the hospital pharmacy. the information structure represent how the meaning of a sentence is specified by the constraints of the information flow. But the information structure is systematically recognized and interpreted in the context of a text: it's also the last object of the information system. Then we consider the text as a contextual frame to model the recognition and the extraction of the information structure. A text can't be considered only as a linguistic object in a professional and information context: it's an implemented (or externalised following situated and distributed cognition) ontology. The updated text articulates the ontology of the patient body and the referential dimension of the information. The model of the information structure presupposes we know what are the constraints of the information system on the symbolic entities (in a way to distinguish the information structure to any sentence description). In a way to determine these constraints, we propose to model the information process by the information flow: we represent in this way how any fact in the body of the patient is symbolised, conveyed and represented into a text. The information flow characterizes only the constraints of the information on the linguistic entities and structures. But the information is linguistically a referential semantic object: it's the representation at distance of a new fact in the world in the frame of a text that accepts this information. Then the model of At last, The information flow allows the articulation of an ontology and a semantic precisely on the question of the information structure. We unify the model of the information structure by the definition of five primitives. A sign representation allows both the characterisation of the structure and of each of its components.
引用
收藏
页码:265 / 275
页数:11
相关论文
共 50 条
  • [41] Superconductivity information extraction from the literature: A new corpus and its evaluations
    Yamaguchi, Kyosuke
    Asahi, Ryoji
    Sasaki, Yutaka
    ADVANCED ENGINEERING INFORMATICS, 2022, 54
  • [42] An improved lexicographical data distribution and information extraction structure
    Gouws, Rufus H.
    STELLENBOSCH PAPERS IN LINGUISTICS PLUS-SPIL PLUS, 2021, 61 : 49 - 64
  • [43] A Framework of Ontology Guided Data Linkage for Evidence based Knowledge Extraction and Information Sharing
    Gollapalli, Mohammed
    2013 IEEE 29TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING WORKSHOPS (ICDEW), 2013, : 294 - 297
  • [44] Extraction, representation and interpretation of nanoscale domain structure information from small-angle scattering patterns
    Stribeck, N
    FIBRES & TEXTILES IN EASTERN EUROPE, 2003, 11 (05) : 32 - 45
  • [45] Cold-start cybersecurity ontology population using information extraction with LSTM
    Gasmi, Houssem
    Laval, Jannik
    Bouras, Abdelaziz
    2019 INTERNATIONAL CONFERENCE ON CYBER SECURITY FOR EMERGING TECHNOLOGIES (CSET), 2019,
  • [46] ESDC: An open Earth science data corpus to support geoscientific literature information extraction
    Li, Hao
    Yue, Peng
    Tapete, Deodato
    Cigna, Francesca
    Wu, Qiuju
    Xiang, Longgang
    Lu, Binbin
    SCIENCE CHINA-EARTH SCIENCES, 2024, 67 (12) : 3840 - 3854
  • [47] ESDC:An open Earth science data corpus to support geoscientific literature information extraction
    Hao LI
    Peng YUE
    Deodato TAPETE
    Francesca CIGNA
    Qiuju WU
    Longgang XIANG
    Binbin LU
    Science China Earth Sciences, 2024, 67 (12) : 3840 - 3854
  • [48] Ontology-Based Feature Modeling for Construction Information Extraction from a Building Information Model
    Nepal, Madhav Prasad
    Staub-French, Sheryl
    Pottinger, Rachel
    Zhang, Jiemin
    JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 2013, 27 (05) : 555 - 569
  • [49] An OWL ontology representation for machine-learned functions using linked data
    Xu, Jingyuan
    Wang, Hao
    Trimbach, Henry
    2016 IEEE INTERNATIONAL CONGRESS ON BIG DATA - BIGDATA CONGRESS 2016, 2016, : 319 - 322
  • [50] Contextual Data Representation Using Prime Number Route Mapping Method and Ontology
    Kulkarni, Hrishikesh
    2017 INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION, CONTROL AND AUTOMATION (ICCUBEA), 2017,