Conference Paper

Information extraction and integration from heterogeneous, distributed, autonomous information sources - A federated ontology-driven query-centric approach

Department of Computer Science, Iowa State University, Ames, Iowa, United States
DOI: 10.1109/IRI.2003.1251412 Conference: Information Reuse and Integration, 2003. IRI 2003. IEEE International Conference on
Source: IEEE Xplore

ABSTRACT This paper motivates and describes the data integration component of INDUS (intelligent data understanding system) environment for data-driven information extraction and integration from heterogeneous, distributed, autonomous information sources. The design of INDUS is motivated by the requirements of applications such as scientific discovery, in which it is desirable for users to be able to access, flexibly interpret, and analyze data from diverse sources from different perspectives in different contexts. INDUS implements a federated, query-centric approach to data integration using user-specified ontologies.

0 Followers
 · 
64 Views
  • [Show abstract] [Hide abstract]
    ABSTRACT: Ontologies are widely considered to be the backbone of the Semantic Web. Its importance is being recognized in a multiplicity of research fields and application areas. Ontology building is crucial for the aforementioned issues. The main goal of this research is to investigate an effective methodology for collaborative ontology building. A trust-based consensus is proposed to support an efficient solution for conflicts among different viewpoints of participants in the collaborative ontology (CoO) building process. In every cycle of the iterative collaborative process, the ontology is refined and evolved by reaching a trust-based consensus among the participants’ viewpoints. The proposed method is applied for collaborative Vietnamese WordNet building. The result is significant in comparison with previous approaches.
    Cybernetics and Systems 03/2014; 45(2). DOI:10.1080/01969722.2014.874815 · 0.51 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: A biological data acquisition based on web has emerged as a powerful tool for allowing scientists to interactively view entries form different databases, and to navigate from one database to another molecular-biology database links. In this paper, the biological conceptual model is constructed hybrid biological data model to represent interesting entities in the data sources to applying navigation rule property for each biological data source based on four biological data integrating layers to control biological data. When some user's requests for application service are occurred, we can get the data from database and data source via web service. In this paper, we propose a query processing model and execution structure based on integrating data layers that can search information on biological data sources.
    01/2009; 14(6).
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: In the past there has always been a need to integrate information sources, databases, documents, etc. Even within companies these sources have not always been similar in structure or semantics. Now with the growth of the Internet, the easy accessibility, and the availability of vast information sources, the need to find methods to integrate these heterogeneous information sources has increased dramatically. New methodologies need to be developed to facilitate the integration of the growing number of diverse distributed information sources found within the Internet. One possible solution, can be found in the field of Philosophy that is the notion of an ontology.