Streamlining Semantic Integration Systems

2010 ◽  
pp. 83-106
Author(s):  
Yannis Kalfoglou ◽  
Bo Hu
Keyword(s):  
Holistic Approach ◽  
Semantic Integration ◽  
Ontology Mapping ◽  
Engineering Practice ◽  
Dynamic Nature ◽  
Effective Application ◽  
Mapping System ◽  
Integration Algorithms ◽  
Data Yield ◽  
Abundance And Diversity

Yannis Kalfoglou and Bo Hu argue for the use of a streamlined approach to integrate semantic integration systems. The authors elaborate on the abundance and diversity of semantic integration solutions and how this impairs strict engineering practice and ease of application. The versatile and dynamic nature of these solutions comes at a price: they are not working in sync with each other neither is it easy to align them. Rather, they work as standalone systems often leading to diverse and sometimes incompatible results. Hence the irony that we might need to address the interoperability issue of tools tackling information interoperability. Kalfoglou and Hu also report on an exemplar case from the field of ontology mapping where systems that used seemingly similar integration algorithms and data, yield different results which are arbitrary formatted and annotated making interpretation and reuse of the results difficult. This makes it difficult to apply semantic integration solutions in a principled manner. The authors argue for a holistic approach to streamline and glue together different integration systems and algorithms. This will bring uniformity of results and effective application of the semantic integration solutions. If the proposed streamlining respects design principles of the underlying systems, then the engineers will have maximum configuration power and tune the streamlined systems in order to get uniform and well understood results. The authors propose a framework for building such streamlined system based on engineering principles and an exemplar, purpose built system, CROSI Mapping System (CMS), which targets the problem of ontology mapping.

Streamlining Semantic Integration Systems

2013 ◽  
pp. 416-448
Author(s):  
Yannis Kalfoglou ◽  
Bo Hu
Keyword(s):  
Holistic Approach ◽  
Semantic Integration ◽  
Ontology Mapping ◽  
Engineering Practice ◽  
Dynamic Nature ◽  
Effective Application ◽  
Mapping System ◽  
Integration Algorithms ◽  
Data Yield ◽  
Abundance And Diversity

Yannis Kalfoglou and Bo Hu argue for the use of a streamlined approach to integrate semantic integration systems. The authors elaborate on the abundance and diversity of semantic integration solutions and how this impairs strict engineering practice and ease of application. The versatile and dynamic nature of these solutions comes at a price: they are not working in sync with each other neither is it easy to align them. Rather, they work as standalone systems often leading to diverse and sometimes incompatible results. Hence the irony that we might need to address the interoperability issue of tools tackling information interoperability. Kalfoglou and Hu also report on an exemplar case from the field of ontology mapping where systems that used seemingly similar integration algorithms and data, yield different results which are arbitrary formatted and annotated making interpretation and reuse of the results difficult. This makes it difficult to apply semantic integration solutions in a principled manner. The authors argue for a holistic approach to streamline and glue together different integration systems and algorithms. This will bring uniformity of results and effective application of the semantic integration solutions. If the proposed streamlining respects design principles of the underlying systems, then the engineers will have maximum configuration power and tune the streamlined systems in order to get uniform and well understood results. The authors propose a framework for building such streamlined system based on engineering principles and an exemplar, purpose built system, CROSI Mapping System (CMS), which targets the problem of ontology mapping.

TOWARDS AN ONTOLOGY MAPPING APPROACH FOR SECURITY MANAGEMENT

2006 ◽  
Vol 15 (06) ◽  
pp. 1071-1090
Author(s):  
ALFRED KA YIU WONG ◽  
NANDAN PARAMESH ◽  
PRADEEP RAY
Keyword(s):  
Security Management ◽  
Semantic Integration ◽  
Ontology Mapping ◽  
Formal Ontology ◽  
Event Correlation ◽  
Semantic Modeling ◽  
Mapping Approach ◽  
Simple Language ◽  
Application Specific ◽  
Different Sources

In the past decade, ontology has been actively researched in various domains. The different ontological tasks range from simple language modeling in the linguistic domain, to semantic integration in the semantic web, and recently to application-specific tasks such as financial fraud management. We follow the trend and attempt to tackle some of the ontological problems in security management. The most complicated problem out of all is the semantic interoperability problem that is evident in the existence of various types of security elements such as IDS, firewall and virus scanner. Another problem is related to the semantic modeling tasks required for autonomous and intelligent reasoning. Semantic modeling of security events is essential for automatic and intelligent event correlation tasks that analyze semantically the different sources of security information to more accurately present the holistic network security status. We present in this paper a novel and formal ontology mapping approach and security ontology for the supporting and possibly resolution of these problems.

Architecture of DSSim

2015 ◽  
Vol 6 (2) ◽  
pp. 65-82
Author(s):  
Maria Vargas-Vera ◽  
Miklos Nagy
Keyword(s):  
Ontology Mapping ◽  
Mapping System ◽  
Multi Agent ◽  
Syntactic Similarity

This paper presents the architecture of DSSim (DSSim stands for Similarity based on Dempster-Shafer) our multi-agent ontology mapping system. It describes several types of agents and their roles in the DSSim architecture. These agents are mapping agents which are able to perform either semantic or syntactic similarity. The authors' architecture is generic as no mappings need to be learned in advance and it could be easily extended by adding new mapping agents in the framework. These new mapping agents could run different similarity algorithms either semantic or syntactic. In this way, DSSim could assess which algorithm has a better performance. Additionally, this paper presents the main algorithms used in DSSim and discusses DSSim advantages and drawbacks.

Mapping Ontologies by Utilising Their Semantic Structure

2011 ◽  
pp. 1049-1055
Author(s):  
Yi Zhao ◽  
Wolfgang A. Halang
Keyword(s):  
Information Retrieval ◽  
Web Service ◽  
Large Scale ◽  
Semantic Analysis ◽  
Semantic Integration ◽  
Ontology Mapping ◽  
Syntactic Analysis ◽  
Mapping Problem ◽  
Key Factor ◽  
Service Mapping

As a key factor to enable interoperability in the Semantic Web (Berners-Lee, Hendler & Lassila, 2001), ontologies are developed by different organisations at a large scale, also in overlapping areas. Therefore, ontology mapping has come into forth to achieve knowledge sharing and semantic integration in an environment where knowledge and information are represented by different underlying ontologies. The ontology mapping problem can be defined as acquiring the relationships that hold between the entities of two ontologies. Mapping results can be used for various purposes such as schema/ontology integration, information retrieval, query mediation, or web service mapping. In this article, a method to map concepts and properties between ontologies is presented. First, syntactic analysis is applied based on token strings, and then semantic analysis is executed according to WordNet (Fellbaum, 1999) and tree-like graphs representing the structures of ontologies. The experimental results exemplify that our algorithm finds mappings with high precision.

UFOme: An ontology mapping system with strategy prediction capabilities

2010 ◽  
Vol 69 (5) ◽  
pp. 444-471 ◽  
Author(s):  
Giuseppe Pirró ◽  
Domenico Talia
Keyword(s):  
Ontology Mapping ◽  
Mapping System

Approaches of Ontological Property Mapping Based on Multi-Strategy

2014 ◽  
Vol 536-537 ◽  
pp. 570-573
Author(s):  
Rong Li ◽  
Lei Liu
Keyword(s):  
High Accuracy ◽  
Semantic Integration ◽  
Ontology Mapping ◽  
Data Type ◽  
Experimental Results ◽  
Ontology Alignment ◽  
Object Type ◽  
Research Directions ◽  
Ontology Merging ◽  
Type Property

Ontology mapping is the technological foundation of semantic integration, ontology merging and ontology alignment. In this paper, we propose approaches of ontological property mapping based on multi-strategy. First we use different strategies to deal with data type property and object type property. Then the optimal property mapping results of multi strategies are chosen. Finally, we present experimental results with high accuracy and point out future possible research directions.

Sign in / Sign up

Export Citation Format

Share Document