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Book ChapterDOI

Inconsistency-tolerant semantics for description logics

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TLDR
It is shown that, if the notion of repair studied in databases is used, inconsistency-tolerant query answering is intractable, even for the simplest form of queries.
Abstract
We address the problem of dealing with inconsistencies in Description Logic (DL) knowledge bases. Our general goal is both to study DL semantical frameworks which are inconsistency-tolerant, and to devise techniques for answering unions of conjunctive queries posed to DL knowledge bases under such inconsistency-tolerant semantics. Our work is inspired by the approaches to consistent query answering in databases, which are based on the idea of living with inconsistencies in the database, but trying to obtain only consistent information during query answering, by relying on the notion of database repair. We show that, if we use the notion of repair studied in databases, inconsistency-tolerant query answering is intractable, even for the simplest form of queries. Therefore, we study different variants of the repair-based semantics, with the goal of reaching a good compromise between expressive power of the semantics and computational complexity of inconsistency-tolerant query answering.

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Citations
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Proceedings ArticleDOI

On the Data Complexity of Consistent Query Answering over Graph Databases.

TL;DR: This work follows the well-known approach of consistent query answering (CQA), and studies the data complexity of CQA over graph databases for regular path queries (RPQs) and regular path constraints (RPCs), which are frequently used.
Proceedings ArticleDOI

Knowledge engineering for intelligent decision support

TL;DR: From my point of view, an AI should be able to combine automatically acquired data and knowledge together with specific domain expertise from the users that the tool is expected to help.
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On the Explanation of SameAs Statements Using Argumentation

TL;DR: Identity links (sameAs) are focused on and argumentation semantics are applied to detect inconsistencies in sameAs statements and explain them to the experts using dialogues to help validate facts and links in complex data sources.
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LOD-a-lot: A Single-File Enabler for Data Science

TL;DR: There exists a wide collection of Data Science use cases that can be performed over such a LOD-a-lot file, which significantly reduces the cost and complexity of conducting Data Science.
Proceedings ArticleDOI

Inconsistency-Tolerant Ontology-Based Data Access Revisited: Taking Mappings into Account

TL;DR: Inconsistency-tolerant query answering in the presence of ontologies has received considerable attention in recent years as discussed by the authors, which is not directly applicable to ontology-based data access (OBDA), where relational data is connected to the ontology via mappings.
References
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BookDOI

The Description Logic Handbook: Theory, Implementation and Applications

TL;DR: The Description Logic Handbook as mentioned in this paper provides a thorough account of the subject, covering all aspects of research in this field, namely: theory, implementation, and applications, and can also be used for self-study or as a reference for knowledge representation and artificial intelligence courses.
Journal ArticleDOI

Tractable Reasoning and Efficient Query Answering in Description Logics: The DL-Lite Family

TL;DR: It is shown that, for the DLs of the DL-Lite family, the usual DL reasoning tasks are polynomial in the size of the TBox, and query answering is LogSpace in thesize of the ABox, which is the first result ofPolynomial-time data complexity for query answering over DL knowledge bases.
Book ChapterDOI

Linking data to ontologies

TL;DR: This paper presents a new ontology language, based on Description Logics, that is particularly suited to reason with large amounts of instances and a novel mapping language that is able to deal with the so-called impedance mismatch problem.
Book

The Semantic Web - ISWC 2005: 4th International Semantic Web Conference, ISWC 2005, Galway, Ireland, November 6 - 10, 2005, Proceedings (Lecture Notes in Computer Science)

TL;DR: Semantic Acceleration Helping Realize the Semantic Web Vision or "The Practical Web", research/Academic track.
BookDOI

The Semantic Web – ISWC 2005

TL;DR: In this paper, the authors present an approach for using the Semantic Web for e-Science: Inspiration, Incubation, Irritation, and Semantic Acceleration Helping Realize the semantic Web Vision or "The Practical Web".
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