Paper Info
Title
Ontology Mapping via Structural and Instance-based Similarity Measures
Abstract
The paper presents an overview of a novel procedure for mapping hierarchical ontologies, populated with properly classified text documents. It combines structural and instance-based approaches to re- duce the terminological and conceptual ontology heterogeneity. It yields important granularity and instantiation judgments about the inputs and is to be applied to mapping web-directories. Heterogeneity between ontolgies can occur in many forms, not in isolation from one another (5). We describe our approach to map two hierarchical, tree-structured ontologies designed to categorize text documents (web pages) with respect to their content, by reducing their terminological and conceptual heterogeneity. The paper extends previous work by one of the co-authors (10). We make use of both intentional and extensional information contained in the input ontologies and combine them in order to establish correspondences between the ontologies concepts. In addition, the proposed procedure yields assertions on the granular- ity and the extensional richness of one ontology compared to another which will be helpful at assisting the eventual stage of ontology merging. Definition 1. A hierarchical ontology is a pair O := (CO,is_a), where CO is a finite set whose elements are called concepts and is_a is a partial order on CO with the following property: - there exists exactly one element A0 2 CO such that {B 2 CO|(A0, B) 2 is_a} = ;, - for every element A 2 CO, A 6= A0, there exists an unique element A0 2 CO such that (A, A0) 2 is_a.
Year
Venue
Keywords
2008
OM
tree structure,ontology mapping,partial order,web pages
Field
DocType
Citations 
Ontology (information science),Ontology,Semantic integration,Information retrieval,Computer science,Granularity
Conference
7
PageRank 
References 
Authors
0.52
9
2
Name
Order
Citations
PageRank
Konstantin Todorov110314.57
Peter Geibel228626.62