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.

Apparatus, computer program product, and method for supporting construction of ontologies

Abstract: To construct an ontology for a target data by re-using an existing ontology, from an aspect of the structure of the class hierarchy according to an object-oriented method and an aspect of the levels of relevance with other properties, the properties that correspond to the data items in the data serving as an ontology construction target and the extraction classes of the properties are determined as property extraction destination candidates for the ontology to be constructed. As a result, it is possible to re-use even a fine difference in the meanings among the properties in the classes. Consequently, it is possible to provide a support for constructing an effective ontology, while reducing the load on the user.

Towards Agents and Ontology for Cloud Service Discovery

Abstract: Cloud computing has attracted great interest from both academic and industrial communities. However, only a few efforts have been devoted to building tools for supporting Cloud service discovery. In this paper, we present a four-stage, agent-based Cloud service discovery protocol. Utilizing an ontology description, in which each resource is described semantically and relatively to other resources, we develop a multi-agent system that cooperates efficiently by introducing a flexible ontology-based matching. To increase the utility and success rate of matching consumers' requests to resources, we use a database to store and keep track of historical data for making intelligent recommendation based on attribute value prediction. Empirical results show that when broker agents in our system use a Cloud ontology and a connection procedure with a recommendation stage achieved better performance in finding the appropriate Cloud services than when broker agents 1) use only the connection procedure but not the Cloud ontology and 2) do not use both the connection procedure and the Cloud ontology.

Context-Explication in Conceptual Ontologies: The PLIB Approach

Abstract: A number of computer science problems, including heterogeneous database integration, natural language processing, document intelligent retrieval would benefit from the capability to model the absolute meaning of things, independently of any particular use of these things. Such models, termed ontologies, have been heavily investigated over the last ten years, with various purposes and within various contexts. The goal of this paper is to investigate the role of ontologies for data integration and to present an ontology model that was precisely developed to allow neutral exchange and automatic integration of technical data. We first pro- pose a taxonomy of ontologies into linguistic ontologies, based on words and usable for intelligent document processing, and concept ontologies, multilingual and usable with structured data. We then discuss differences between ontologies and usual conceptual models. We claim that the main difference is context-sensitivity, and we identify four requirements for making ontologies less contextual than models and suitable for data inte- gration. Finally we present how these requirements have been fulfilled in the PLIB ontology model developed to give meaning to technical data, and we outline the use of PLIB-based ontologies in various domains in- cluding database integration, e-engineering and the semantic Web.

Design Patterns for Legal Ontology Constructions.

Abstract: Ontology design is known to be a difficult task, requiring much more than expertise in an area; legal ontology design, due to the complexity of its domain, makes those difficulties worse. That may be partly due to poor requirement analysis in existing tools, but there is also an inherent gap between the purely logical constructs and methods that are expected to be used, and the actual competences and thought habits of domain experts. This paper presents some solutions, based on content ontology design patterns, which are intended to make life of legal ontology designers easier. An overview of the typical tasks and services for legal knowledge is presented, the notion of ontology design pattern is introduced, and some excerpts of a reference ontology (CLO) and its related patterns are included, showing their utility in a simple legal modeling case

A Comparative Study of Four Ontology Visualization Techniques in Protege: Experiment Setup and Preliminary Results

Abstract: The continuing need for more effective information retrieval has lead to the creation of the notions of the semantic web and personalized information management, areas of study that very often employ ontologies to represent the semantic context of a domain. Consequently, the need for effective ontology visualization for design, management and browsing has arisen. There are several ontology visualizations available through the existing ontology management tools, but not as many evaluations to determine their advantages and disadvantages and their suitability for various ontologies and user groups. This work presents the preliminary results of an evaluation of four visualization methods in Protege.