The Knowledge Cartography - A New Approach to Reasoning over Description Logics Ontologies
نویسندگان
چکیده
The paper presents a new method for representation and processing ontological knowledge – Knowledge Cartography. This method allows for inferring implicit knowledge from both: terminological part (TBox) and assertional part (ABox) of a Description Logic ontology. The paper describes basics of the method and gives some theoretical background of the method. Knowledge Cartography stores and processes ontologies in terms of binary signatures, which gives efficient way of querying ontologies containing numerous individuals. Knowledge Cartography has been applied in KASEA – a knowledge management system that is being developed in course of a European integrated research project called PIPS. Results of efficiency experiments and ideas of further development of the system are presented and discussed.
منابع مشابه
The Cartographer Algorithm for Processing and Querying Description Logics Ontologies
One of the most popular formalisms of describing knowledge is Description Logics. It has become even more popular when OWL standard has emerged. The paper presents a new reasoning algorithm the Cartographer Algorithm that allows for inferring implicit knowledge from a terminology (TBox) and assertions (ABox) of an ontology. The paper describes the way of processing ontologies in terms of binary...
متن کاملA Neo-Topological Approach to Reasoning on Ontologies with Exceptions and Comparison with Defeasible Description Logics
This article compares Defeasible Description Logics (DDL) and Topological Approach to reason on Ontologies with exceptions. DDL is integration between Description Logics and Defeasible Logics to deal with monotonic and non-monotonic parts of the knowledge bases respectively. Topological approach tries to reason on inconsistent knowledge bases using the conventional topological operators e.g., i...
متن کاملReasoning with Large A-Boxes in Fuzzy Description Logics using DL reasoners: An experimental evaluation
While knowledge representation languages developed in the context of the Semantic Web build mainly on crisp knowledge, fuzzy reasoning seems to be needed for many applications, e.g. for retrieval of images or other resources. However, techniques for fuzzy reasoning need to scale to large A-Boxes for practical applications. As a first step towards clarifying whether fuzzy reasoning techniques ca...
متن کاملImplementing probabilistic description logics: An application to image interpretation
This paper presents an application of an optimized implementation of a probabilistic description logic defined by Giugno and Lukasiewicz [9] to the domain of image interpretation. This approach extends a description logic with so-called probabilistic constraints to allow for automated reasoning over formal ontologies in combination with probabilistic knowledge. We analyze the performance of cur...
متن کاملConjunctive Query Answering in Rough EL
Rough Description Logics have recently been studied as a means for representing and reasoning with imprecise knowledge. Real-world applications need to exploit reasoning over such knowledge in an efficient way. We describe how the combined approach to query answering can be extended to the rough setting. In particular, we extend both the canonical model and the rewriting procedure such that rou...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2006