Ontology Materialization by Abstraction Refinement in Horn SHOIF

نویسندگان

  • Birte Glimm
  • Yevgeny Kazakov
  • Trung-Kien Tran
چکیده

Abstraction refinement is a recently introduced technique which allows for reducing materialization of an ontology with a large ABox to materialization of a smaller (compressed) ‘abstraction’ of this ontology. Although this approach is sound for the very expressive language SROIQ, so far it was proved to be complete only for Horn ALCHOI ontologies. In this paper we propose an extension of this method that is now complete for Horn SHOIF ontologies. Supporting functional roles, in particular, is nontrivial due to the sophisticated interaction with nominals and inverse roles. Additionally, we show how to compute not only the concept-materialization but also the roleand equalitymaterialization. To show completeness we use a tailored set of materialization rules that loosely decouple the ABox from the TBox, which is intrinsically interesting as reasoning with nominals in general requires both ABox and TBox.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Incremental Materialization Update via Abstraction Refinement

ion Refinement Markus Brenner and Birte Glimm University of Ulm, Germany, [email protected] Abstract. Abstraction refinement is a recently introduced technique Abstraction refinement is a recently introduced technique which allows for reducing materialization of an ontology with a large ABox to materialization of a smaller (compressed) ‘abstraction’ of this ontology. In this p...

متن کامل

Abstraction Refinement for Ontology Materialization Technical Report

ion Refinement for Ontology Materialization Technical Report Birte Glimm, Yevgeny Kazakov, Thorsten Liebig, Trung-Kien Tran, and Vincent Vialard 1 University of Ulm, Ulm, Germany, [email protected] 2 derivo GmbH, Ulm, Germany, @derivo.de Abstract. We present a new procedure for ontology materialization (computing all entailed instances of every atomic concept) in whi...

متن کامل

Scalable Reasoning by Abstraction Beyond DL-Lite

Recently, it has been shown that ontologies with large datasets can be efficiently materialized by a so-called abstraction refinement technique. The technique consists of the abstraction phase, which partitions individuals into equivalence classes, and the refinement phase, which re-partitions individuals based on entailments for the representative individual of each equivalence class. In this ...

متن کامل

Abstraction Refinement for Ontology Materialization

ion Refinement for Ontology Materialization Birte Glimm, Yevgeny Kazakov, Thorsten Liebig, Trung-Kien Tran, and Vincent Vialard 1 University of Ulm, Ulm, Germany, [email protected] 2 derivo GmbH, Ulm, Germany, @derivo.de Abstract. We present a new procedure for ontology materialization (computing all entailed instances of every atomic concept) in which reasoning over...

متن کامل

Scalable Reasoning by Abstraction in DL-Lite

The DL-Lite family are description logics specifically designed for ontology-based data access (OBDA). In this setting, an ontology with background knowlege (a TBox) can be seen as a conceptual view over data repositories (ABoxes), and data can be accessed via query answering services. Common techniques for query answering in DL-Lite are (pure) rewriting and combined approaches. In the rewritin...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016