Papers by Atanas Kiryakov
Executive Summary The work within WP1 (M1-M6) started with building an initial version of the dat... more Executive Summary The work within WP1 (M1-M6) started with building an initial version of the data management concept for the project, identification of the various data types to be managed within the project (news, blogs and collaborative wiki publications, tweets, enterprise communication, ontologies, linked data and other factual knowledge), including their structure and dynamics (eg update in time).
Lecture Notes in Computer Science, 2005
OWLIM is a high-performance Storage and Inference Layer (SAIL) for Sesame, which performs OWL DLP... more OWLIM is a high-performance Storage and Inference Layer (SAIL) for Sesame, which performs OWL DLP reasoning, based on forward-chaining of entilement rules. The reasoning and query evaluation are performed inmemory, while in the same time OWLIM provides a reliable persistence, based on N-Triples files. This paper presents OWLIM, together with an evaluation of its scalability over synthetic, but realistic, dataset encoded with respect to PROTON ontology. The experiment demonstrates that OWLIM can scale to millions of statements even on commodity desktop hardware. On an almostentry-level server, OWLIM can manage a knowledge base of 10 million explicit statements, which are extended to about 19 millions after forward chaining. The upload and storage speed is about 3,000 statement/sec. at the maximal size of the repository, but it starts at more than 18,000 (for a small repository) and slows down smoothly. As it can be expected for such an inference strategy, delete operations are expensive, taking as much as few minutes. In the same time, a variety of queries can be evaluated within milliseconds. The experiment shows that such reasoners can be efficient for very big knowledge bases, in scenarios when delete operations should not be handled in real-time.
Web Intelligence, 2003
On-To-Knowledge builds an ontology-based tool environment to speed up knowledge management, deali... more On-To-Knowledge builds an ontology-based tool environment to speed up knowledge management, dealing with large numbers of heterogeneous, distributed, and semi-structured documents typically found in large company intranets and the World Wide Web. The project's target results are: (1) a toolset for semantic information processing and user access; (2) OIL, an ontology-based inference layer on top of the World Wide Web; (3) an associated methodology and validation by industrial case studies. This paper offers an overview of the On-To-Knowledge approach to knowledge management.
This document presents a study on the formal representation of the MUMIS ontology the reasoning c... more This document presents a study on the formal representation of the MUMIS ontology the reasoning components in relation to the Semantic Web. It outlines directions for further work to bring the MUMIS results in synch with Semantic Web and develop an ontology-aware open hypermedia system on top of it. The later task is discussed in the light of an existing
This document describes a recommended knowledge representation formalism that meets the requireme... more This document describes a recommended knowledge representation formalism that meets the requirements of LarKC. More specifically it provides an analysis of requirements stemming from the use cases in the project and surveys the landscape of existing knowledge representation languages on the Semantic Web. Furthermore it examines systems that are able to perform inference at a large scale. Based on these results it proceeds to define its two main contributions: (i) A recommended language called L2 (short for LarKC Language) that goes slightly beyond RDFS by including tractable parts of OWL and (ii) A framework that is used for the formal specification of L2 and can be used for the specification of tractable languages within the established Semantic Web language stack by providing the used vocabulary along with a set of entailment rules. This framework can in turn also be used to establish additional custom extensions of the language.
Web Information Systems …, 2005
... OWLIM A Pragmatic Semantic Repository for OWL Atanas Kiryakov, Damyan Ognyanov, andDimitar ... more ... OWLIM A Pragmatic Semantic Repository for OWL Atanas Kiryakov, Damyan Ognyanov, andDimitar Manov Ontotext Lab, Sirma Group Corp., 135 Tsarigradsko Chaussee, Sofia 1784, Bulgaria {naso, damyan, mitac}@sirma.bg http://www.ontotext.com Abstract. ...
Abstract. EU-IST Integrated Project (IP) IST-2003-506826 SEKT Deliverable D7.1.2 (WP 7) This deli... more Abstract. EU-IST Integrated Project (IP) IST-2003-506826 SEKT Deliverable D7.1.2 (WP 7) This deliverable provides the first set of guidelines for ontology engineering and application in SEKT: DILIGENT – DIstributed , Loosely-controlled and evolvInG Engineering of oNTologies. Keyword list: Ontology Engineering Methodology — Rhetorical Structure Theory (RST) — Holistic Approach — Cost Estimation for Ontology Engineering ... Copyright © 2006 Institute AIFB, University of Karlsruhe (TH) ... SEKT/2004/D7.1.2/v1 SEKT EU-IST-2003- ...
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda):
Semi-Automatic Ontology Development: Processes and Resources, IGI Global, Hershey PA, USA, 2011
The chapter introduces the process of design of two upper-level ontologies—PROTON and UMBEL—into ... more The chapter introduces the process of design of two upper-level ontologies—PROTON and UMBEL—into reference ontologies and their integration in the so-called Reference Knowledge Stack (RKS). It is argued that RKS is an important step in the efforts of the Linked Open Data (LOD) project to transform the Web into a global data space with diverse real data, available for review and analysis. RKS is intended to make the interoperability between published datasets much more efficient than it is now. The ...
IEEE Computer, 2002
The World Wide Web (WWW) has drastically changed the availability of electronically available inf... more The World Wide Web (WWW) has drastically changed the availability of electronically available information. Currently, there are around 3 billion documents in the WWW, which are used by more than 500 million users internationally. And that number is growing fast. However, this success and exponential growth makes it increasingly difficult to find, to access, to present, and to maintain the information required by a wide variety of users. Ontologies and semantic web technology will improve this situation [Fensel, 2001]. On-To- ...
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Papers by Atanas Kiryakov