Semantic Annotations and Querying of Web Data Sources

被引：0
|
作者：
Hornung, Thomas [1 ]
May, Wolfgang [2 ]
机构：
[1] Univ Freiburg, Inst Informat, D-7800 Freiburg, Germany
[2] Univ Gottingen, Inst Informat, Gottingen, Germany
来源：
ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS: OTM 2009, PT 1 | 2009年 / 5870卷
关键词：
ANSWERING QUERIES; SERVICES;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A large part of the Web, actually holding a significant portion of the useful information throughout the Web, consists of views on hidden databases, provided by numerous heterogeneous interfaces that are partly human-oriented via Web forms ("Deep Web"), and partly based on Web Services (only machine accessible). In this paper we present an approach for annotating these sources in a way that makes them citizens of the Semantic Web. We illustrate how queries can be stated in terms of the ontology, and how the annotations are used to selected and access appropriate sources and to answer the queries.
引用
收藏
页码：112 / +
页数：3
相关论文
共 50 条
  • [21] Web data indexing through external semantic-carrying annotations
    Bremer, JM
    Gertz, M
    ELEVENTH INTERNATIONAL WORKSHOP ON RESEARCH ISSUES IN DATA ENGINEERING, PROCEEDINGS: DOCUMENT MANAGEMENT FOR DATA INTENSIVE BUSINESS AND SCIENTIFIC APPLICATIONS, 2001, : 69 - 76
  • [22] Semantic querying of relational data for clinical intelligence: a semantic web services-based approach
    Riazanov, Alexandre
    Klein, Artjom
    Shaban-Nejad, Arash
    Rose, Gregory W.
    Forster, Alan J.
    Buckeridge, David L.
    Baker, Christopher J. O.
    JOURNAL OF BIOMEDICAL SEMANTICS, 2013, 4
  • [23] Natural language annotations for the Semantic Web
    Katz, B
    Lin, J
    Quan, D
    ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS 2002: COOPLS, DOA, AND ODBASE, 2002, 2519 : 1317 - 1331
  • [24] Semantic querying of relational data for clinical intelligence: a semantic web services-based approach
    Alexandre Riazanov
    Artjom Klein
    Arash Shaban-Nejad
    Gregory W Rose
    Alan J Forster
    David L Buckeridge
    Christopher JO Baker
    Journal of Biomedical Semantics, 4
  • [25] SEEDEEP: A System for Exploring and Querying Scientific Deep Web Data Sources
    Wang, Fan
    Agrawal, Gagan
    SCIENTIFIC AND STATISTICAL DATABASE MANAGEMENT, PROCEEDINGS, 2009, 5566 : 74 - 82
  • [26] UniQue: An Approach for Unified and Efficient Querying of Heterogeneous Web Data Sources
    Laine, Markku
    Kleimola, Jari
    Vuorimaa, Petri
    PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON WEB INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 1 (WEBIST), 2016, : 84 - 94
  • [27] Semantic Querying on Multimedia Data
    Menemencioglu, Oguzhan
    Orak, Ilhami Muharrem
    2016 24TH SIGNAL PROCESSING AND COMMUNICATION APPLICATION CONFERENCE (SIU), 2016, : 1069 - 1072
  • [28] Using semantic web technologies for knowledge-driven querying of biomedical data
    O'Connor, Martin
    Shankar, Ravi
    Tu, Samson
    Nyulas, Csongor
    Parrish, Dave
    Musen, Mark
    Das, Amar
    ARTIFICIAL INTELLIGENCE IN MEDICINE, PROCEEDINGS, 2007, 4594 : 267 - 276
  • [29] Mobile Querying of Online Semantic Web Data for Context-Aware Applications
    Van Woensel, William
    Casteleyn, Sven
    Paret, Elien
    De Troyer, Olga
    IEEE INTERNET COMPUTING, 2011, 15 (06) : 32 - 39
  • [30] Querying structured information sources on the Web
    Mergen S.
    Freire J.
    Heuser C.A.
    International Journal of Metadata, Semantics and Ontologies, 2010, 5 (03) : 208 - 221
12345