Topic
Upper ontology
About: Upper ontology is a research topic. Over the lifetime, 9767 publications have been published within this topic receiving 220721 citations. The topic is also known as: top-level ontology & foundation ontology.
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Book•
01 Jan 2008
TL;DR: In this paper, a rule-based approach is proposed to match ontologies and data integration in the Semantic Web, based on the use of knowledge patterns and knowledge representation patterns.
Abstract: Invited Talks.- Knowledge Patterns.- Computational Semantics and Knowledge Engineering.- Principles for Knowledge Engineering on the Web.- Knowledge Patterns and Knowledge Representation.- Applying Ontology Design Patterns in Bio-ontologies.- A Pattern and Rule-Based Approach for Reusing Adaptive Hypermedia Creator's Models.- Natural Language-Based Approach for Helping in the Reuse of Ontology Design Patterns.- On the Influence of Description Logics Ontologies on Conceptual Similarity.- Polishing Diamonds in OWL 2.- Formalizing Ontology Modularization through the Notion of Interfaces.- Correspondence Patterns for Ontology Alignment.- Matching Ontologies and Data Integration.- Learning Disjointness for Debugging Mappings between Lightweight Ontologies.- Towards a Rule-Based Matcher Selection.- An Analysis of the Origin of Ontology Mismatches on the Semantic Web.- Preference-Based Uncertain Data Integration.- Natural Language, Knowledge Acquisition and Annotations.- Unsupervised Discovery of Compound Entities for Relationship Extraction.- Formal Concept Analysis: A Unified Framework for Building and Refining Ontologies.- Contextualized Knowledge Acquisition in a Personal Semantic Wiki.- Using the Intension of Classes and Properties Definition in Ontologies for Word Sense Disambiguation.- Mapping General-Specific Noun Relationships to WordNet Hypernym/Hyponym Relations.- Analysing Ontological Structures through Name Pattern Tracking.- Semi-automatic Construction of an Ontology and of Semantic Annotations from a Discussion Forum of a Community of Practice.- OMEGA: An Automatic Ontology Metadata Generation Algorithm.- Automatic Tag Suggestion Based on Resource Contents.- Integration of Semantically Annotated Data by the KnoFuss Architecture.- Search, Query and Interaction.- A Visual Approach to Semantic Query Design Using a Web-Based Graphical Query Designer.- Search Query Generation with MCRDR Document Classification Knowledge.- Ontological Profiles in Enterprise Search.- Ontologies.- A Generic Ontology for Collaborative Ontology-Development Workflows.- GoodRelations: An Ontology for Describing Products and Services Offers on the Web.- An Ontology-Centric Approach to Sensor-Mission Assignment.- Ontology Based Legislative Drafting: Design and Implementation of a Multilingual Knowledge Resource.- Situated Cognition in the Semantic Web Era.- E-Business Vocabularies as a Moving Target: Quantifying the Conceptual Dynamics in Domains.- A Platform for Object-Action Semantic Web Interaction.
115 citations
22 Jul 2007
TL;DR: A semi-automatic ontology editor as implemented in a new version of OntoGen system that integrates machine learning and text mining algorithms into an efficient user interface lowering the entry barrier for users who are not professional ontology engineers.
Abstract: In this paper we present a semi-automatic ontology editor as implemented in a new version of OntoGen system. The system integrates machine learning and text mining algorithms into an efficient user interface lowering the entry barrier for users who are not professional ontology engineers. The main features of the systems include unsupervised and supervised methods for concept suggestion and concept naming, as well as ontology and concept visualization. The system was tested in extensive user trails and in several real-world scenarios with very positive results.
115 citations
Proceedings Article•
23 Sep 2007TL;DR: This paper presents and demonstrates SOR (Scalable Ontology Repository), a practical system for ontology storage, reasoning, and search in RDBMS and shows how the SOR system is used for semantic master data management.
Abstract: Ontology, an explicit specification of shared conceptualization, has been increasingly used to define formal data semantics and improve data reusability and interoperability in enterprise information systems. In this paper, we present and demonstrate SOR (Scalable Ontology Repository), a practical system for ontology storage, reasoning, and search. SOR uses Relational DBMS to store ontologies, performs inference over them, and supports SPARQL language for query. Furthermore, a faceted search with relationship navigation is designed and implemented for ontology search. This demonstration shows how to efficiently solve three key problems in practical ontology management in RDBMS, namely storage, reasoning, and search. Moreover, we show how the SOR system is used for semantic master data management.
115 citations
Book•
01 Jan 2008
TL;DR: In this article, the authors present an overview of the state-of-the-art, business potential, and challenges in e-Banking applications with respect to the use of ontologies.
Abstract: Overview.- Ontologies: State of the Art, Business Potential, and Grand Challenges.- Infrastructure.- Engineering and Customizing Ontologies.- Ontology Management Infrastructures.- Ontology Reasoning with Large Data Repositories.- Evolution, Alignment, and the Business Perspective.- Ontology Evolution.- Ontology Alignments.- The Business View: Ontology Engineering Costs.- Experiences.- Ontology Management in e-Banking Applications.- Ontology-Based Knowledge Management in Automotive Engineering Scenarios.- Ontologising Competencies in an Interorganisational Setting.
114 citations
TL;DR: A foundational ontology is developed, the SmartSUMO ontology, on the basis of the DOLCE and SUMO ontologies to combine all the developed ontologies into a single SmartWeb Integrated Ontology (SWIntO), having a common modeling basis with conceptual clarity and the provision of ontology design patterns for modeling consistency.
114 citations