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: The increased generation of data in the pharmaceutical R&D process has failed to generate the expected returns in terms of enhanced productivity and pipelines, and the new range of semantic technologies based on ontologies enables the proper integration of knowledge in a way that is reusable by several applications across businesses.
109 citations
09 May 2017
TL;DR: The evolution in the landscape of data integration since the work on rewriting queries using views in the mid-1990's is described and two important challenges for the field going forward are described.
Abstract: The field of data integration has expanded significantly over the years, from providing a uniform query and update interface to structured databases within an enterprise to the ability to search, ex- change, and even update, structured or unstructured data that are within or external to the enterprise. This paper describes the evolution in the landscape of data integration since the work on rewriting queries using views in the mid-1990's. In addition, we describe two important challenges for the field going forward. The first challenge is to develop good open-source tools for different components of data integration pipelines. The second challenge is to provide practitioners with viable solutions for the long-standing problem of systematically combining structured and unstructured data.
109 citations
07 Nov 2010
TL;DR: The core classes and relationships forming the pattern are discussed in detail and are aligned to the DOLCE foundational ontology to improve semantic interoperability and clarify the underlying ontological commitments.
Abstract: This paper presents an overview of ongoing work to develop a generic ontology design pattern for observation-based data on the Semantic Web. The core classes and relationships forming the pattern are discussed in detail and are aligned to the DOLCE foundational ontology to improve semantic interoperability and clarify the underlying ontological commitments. The pattern also forms the top-level of the the Semantic Sensor Network ontology developed by the W3C Semantic Sensor Network Incubator Group. The integration of both ontologies is discussed and directions of further work are pointed out.
109 citations
01 Jan 2004
TL;DR: This dissertation describes ontology translation in three categories: dataset translation, ontology extension generation, and querying through different ontologies.
Abstract: Ontologies are a crucial tool for formally specifying the vocabulary and relationship of concepts used on the Semantic Web. In order to share information, web-based agents that use different vocabularies must be able to translate data from one ontological framework to another, both syntactically and semantically.
This dissertation describes ontology translation in three categories: dataset translation, ontology extension generation, and querying through different ontologies. The approach that has been proposed in this work is: ontology translation by ontology merging and automated reasoning. Ontology translation can be thought of in terms of formal inference. The merge of two related ontologies is obtained by taking the union of the concepts and the axioms defining them, and then adding bridging axioms that relate their concepts. The resulting merged ontology serves as an inferential medium for ontology translation.
Web-PDDL, a strongly typed first-order logic language for the Semantic Web, can work as the internal representation for ontology merging and ontology translation. The syntactic translation can be done by an automatic syntax translator between Web-PDDL and other web agent languages. The semantic translation can be implemented by an inference engine, OntoEngine, a first order theorem prover with equality substitutions, running in both forward and backward chaining ways.
The approach has also been extended to handle conditional fact translation, axiom derivation, ontology composition and data integration for web-based databases.
109 citations
01 Jan 2014
TL;DR: This chapter begins with an elaboration of the FBS ontology followed by the situated FBS framework which articulates a more detailed cognitive view and demonstrates both the empirical support for the ontology and its applicability.
Abstract: This chapter commences by introducing the background to the development of the Function-Behaviour-Structure (FBS) ontology. It then proceeds with an elaboration of the FBS ontology followed by the situated FBS framework which articulates a more detailed cognitive view. A series of exemplary empirical studies that use a coding scheme based on the FBS ontology is presented that demonstrates both the empirical support for the ontology and its applicability. The chapter concludes with a brief discussion on the role of this ontology and possible developments.
109 citations