Topic
Ontology-based data integration
About: Ontology-based data integration is a research topic. Over the lifetime, 11065 publications have been published within this topic receiving 216888 citations.
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TL;DR: A representation of the generally accepted accounting principles taxonomies in XBRL by an ontology provided in the web ontology language (OWL) is proposed, which is compliance with the recent ontology definition metamodel (ODM) standard issued by OMG.
69 citations
25 Jun 2008
TL;DR: This work proposes a generic framework for analyzing both the evolution of ontologies and the development of ontology-related mappings, in particular annotations referring to ontology and similarity (match) mappings between ontologies.
Abstract: Ontologies are heavily developed and used in life sciences and undergo continuous changes. However, the evolution of life science ontologies and references to them (e.g., annotations) is not well understood and has received little attention so far. We therefore propose a generic framework for analyzing both the evolution of ontologies and the evolution of ontology-related mappings, in particular annotations referring to ontologies and similarity (match) mappings between ontologies. We use our framework for an extensive comparative evaluation of evolution measures for 16 life science ontologies. Moreover, we analyze the evolution of annotation mappings and ontology mappings for the Gene Ontology.
69 citations
27 Oct 2003
TL;DR: 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.
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.
69 citations
14 Oct 2005
TL;DR: The task of this paper is to explain what ontologies are and how they can be used to facilitate interoperability between software systems used in computer aided design, architecture engineering and construction, and geographic information processing.
Abstract: One of the major problems facing systems for computer aided design (CAD); architecture, engineering, and construction (AEC); and geographic information systems (GIS) applications today is the lack of interoperability among the various systems. When integrating software applications, substantial difficulties can arise in translating information from one application to the other. In this paper, we focus on semantic difficulties that arise in software integration. Applications may use different terminologies to describe the same domain. Even when applications use the same terminology, they often associate different semantics with the terms. This obstructs information exchange among applications. To circumvent this obstacle, we need some way of explicitly specifying the semantics for each terminology in an unambiguous fashion. Ontologies can provide such specification. It will be the task of this paper to explain what ontologies are and how they can be used to facilitate interoperability between software systems used in computer aided design; architecture, engineering, and construction; and geographic information processing.
69 citations
15 Oct 2004
TL;DR: An ontology-based approach for analyzing social interaction patterns in a nursing home from video to automatically create concise and comprehensive reports of activities and behaviors of patients to support physicians and caregivers in a Nursing facility is proposed.
Abstract: In this paper, we propose an ontology-based approach for analyzing social interaction patterns in a nursing home from video. Social interaction patterns are broken into individual activities and behavior events using a multi-level context hierarchy ontology framework. To take advantage of an ontology in representing how social interactions evolve, we design and refine the ontology based on knowledge gained from 80 hours of video recorded in the public spaces of a nursing home. The ontology is implemented using a dynamic Bayesian network to statistically model the multi-level concepts defined in the ontology. We have developed a prototype system to illustrate the proposed concept. Experiment results have demonstrated feasibility of the proposed approach. The objective of this research is to automatically create concise and comprehensive reports of activities and behaviors of patients to support physicians and caregivers in a nursing facility
69 citations