scholarly journals A SUITE OF DAML+OIL ONTOLOGIES TO DESCRIBE BIOINFORMATICS WEB SERVICES AND DATA

2003 ◽  
Vol 12 (02) ◽  
pp. 197-224 ◽  
Author(s):  
CHRIS WROE ◽  
ROBERT STEVENS ◽  
CAROLE GOBLE ◽  
ANGUS ROBERTS ◽  
MARK GREENWOOD
Keyword(s):  
Description Logic ◽  
Expert Knowledge ◽  
Web Ontology Language ◽  
Service Description ◽  
Service Matching ◽  
Ontology Language ◽  
Logic Approach ◽  
Semantic Service ◽  
Grid Based ◽  
Large Grid

The growing quantity and distribution of bioinformatics resources means that finding and utilizing them requires a great deal of expert knowledge, especially as many resources need to be tied together into a workflow to accomplish a useful goal. We want to formally capture at least some of this knowledge within a virtual workbench and middleware framework to assist a wider range of biologists in utilizing these resources. Different activities require different representations of knowledge. Finding or substituting a service within a workflow is often best supported by a classification. Marshalling and configuring services is best accomplished using a formal description. Both representations are highly interdependent and maintaining consistency between the two by hand is difficult. We report on a description logic approach using the web ontology language DAML+OIL that uses property based service descriptions. The ontology is founded on DAML-S to dynamically create service classifications. These classifications are then used to support semantic service matching and discovery in a large grid based middleware project [Formula: see text]. We describe the extensions necessary to DAML-S in order to support bioinformatics service description; the utility of DAML+OIL in creating dynamic classifications based on formal descriptions; and the implementation of a DAML+OIL ontology service to support partial user-driven service matching and composition.

scholarly journals Overview and Utilization of the NCI Thesaurus

2004 ◽  
Vol 5 (8) ◽  
pp. 648-654 ◽  
Author(s):  
Gilberto Fragoso ◽  
Sherri de Coronado ◽  
Margaret Haber ◽  
Frank Hartel ◽  
Larry Wright
Keyword(s):  
National Cancer Institute ◽  
Description Logic ◽  
Biological Processes ◽  
Gene Products ◽  
Collaborative Effort ◽  
Web Ontology Language ◽  
Ontology Language ◽  
File Formats ◽  
History Of ◽  
The Web

The NCI Thesaurus is a reference terminology covering areas of basic and clinical science, built with the goal of facilitating translational research in cancer. It contains nearly 110 000 terms in approximately 36000 concepts, partitioned in 20 subdomains, which include diseases, drugs, anatomy, genes, gene products, techniques, and biological processes, among others, all with a cancer-centric focus in content, and originally designed to support coding activities across the National Cancer Institute. Each concept represents a unit of meaning and contains a number of annotations, such as synonyms and preferred name, as well as annotations such as textual definitions and optional references to external authorities. In addition, concepts are modelled with description logic (DL) and defined by their relationships to other concepts; there are currently approximately 90 types of named relations declared in the terminology. The NCI Thesaurus is produced by the Enterprise Vocabulary Services project, a collaborative effort between the NCI Center for Bioinformatics and the NCI Office of Communications, and is part of the caCORE infrastructure stack (http://ncicb.nci.nih.gov/NCICB/core). It can be accessed programmatically through the open caBIO API and browsed via the web (http://nciterms.nci.nih.gov). A history of editing changes is also accessible through the API. In addition, the Thesaurus is available for download in various file formats, including OWL, the web ontology language, to facilitate its utilization by others.

scholarly journals Web-Based Learning Under Tacit Mining of Various Data Sources

2021 ◽  
Vol 16 (16) ◽  
pp. 153
Author(s):  
Abdelouahab Belazoui ◽  
Abdelmoutia Telli ◽  
Chafik Arar
Keyword(s):  
Description Logic ◽  
Intelligent Tutoring System ◽  
Open Educational Resources ◽  
Data Sources ◽  
Systems Architecture ◽  
Tutoring Systems ◽  
Additional Information ◽  
Ontology Language ◽  
Logic Approach ◽  
The Web

Nowadays, many platforms provide open educational resources to learners. So, they must browse and explore several suggested contents to better assimilate their courses. To facilitate the selecting task of these resources, the present paper proposes an intelligent tutoring system that can access teaching contents available on the web automatically and offers them to learners as additional information sources. In doing so, the authors highlight the description logic approach and its knowledge representation strength that underwrites the modulization, inference, and querying about a web ontology language, and enhanced traditional tutoring systems architecture using ontologies and description logic to enable them to access various data sources on the web. Finally, this article concludes that the combination of machine learning with the semantic web has provided a supportive study environment and enhanced the schooling conditions within open and distance learning.

Rule-Based OWL Ontology Reasoning Systems

2010 ◽  
pp. 124-148 ◽  
Author(s):  
Georgios Meditskos ◽  
Nick Bassiliades
Keyword(s):  
Semantic Web ◽  
Description Logic ◽  
Formal Semantics ◽  
Web Ontology Language ◽  
Rule Engine ◽  
Basic Principles ◽  
Rule Based ◽  
Ontology Language ◽  
Open Nature ◽  
The Web

This chapter is focused on the basic principles behind the utilization of rules in order to perform reasoning about the Web Ontology Language (OWL), a Description Logic-based language that is the W3C recommendation for creating and sharing ontologies in the Semantic Web. More precisely, we elaborate on the entailment-based OWL reasoning (EBOR) paradigm, which is based on the utilization of RDF/ RDFS and OWL entailment rules that run on a rule engine, applying the formal semantics of the ontology language. To this end, seven EBOR systems are described and compared, analyzing the different approaches. Despite the closed rule environment, which comes in contrast with the open nature of the Semantic Web, and the fact that OWL semantics are partially mapped into rules, the rule-based OWL reasoning paradigm can give great potentials in the Semantic Web, enabling the utilization of rule engines on top of ontology information.

scholarly journals Pay-As-You-Go Description Logic Reasoning by Coupling Tableau and Saturation Procedures

2015 ◽  
Vol 54 ◽  
pp. 535-592 ◽  
Author(s):  
Andreas Steigmiller ◽  
Birte Glimm
Keyword(s):  
Description Logic ◽  
Description Logics ◽  
The Other ◽  
Web Ontology Language ◽  
Ontology Language ◽  
Specific Description ◽  
Wide Range ◽  
Detailed Evaluation ◽  
Logic Reasoning ◽  
The Web

Nowadays, saturation-based reasoners for the OWL EL profile of the Web Ontology Language are able to handle large ontologies such as SNOMED very efficiently. However, it is currently unclear how saturation-based reasoning procedures can be extended to very expressive Description Logics such as SROIQ--the logical underpinning of the current and second iteration of the Web Ontology Language. Tableau-based procedures, on the other hand, are not limited to specific Description Logic languages or OWL profiles, but even highly optimised tableau-based reasoners might not be efficient enough to handle large ontologies such as SNOMED. In this paper, we present an approach for tightly coupling tableau- and saturation-based procedures that we implement in the OWL DL reasoner Konclude. Our detailed evaluation shows that this combination significantly improves the reasoning performance for a wide range of ontologies.

scholarly journals Modular Reuse of Ontologies: Theory and Practice

2008 ◽  
Vol 31 ◽  
pp. 273-318 ◽  
Author(s):  
B. Cuenca Grau ◽  
I. Horrocks ◽  
Y. Kazakov ◽  
U. Sattler
Keyword(s):  
General Class ◽  
Description Logic ◽  
Description Logics ◽  
Theory And Practice ◽  
Sufficient Condition ◽  
Web Ontology Language ◽  
Conservative Extension ◽  
Practical Solution ◽  
Ontology Language ◽  
Ontology Languages

In this paper, we propose a set of tasks that are relevant for the modular reuse of ontologies. In order to formalize these tasks as reasoning problems, we introduce the notions of conservative extension, safety and module for a very general class of logic-based ontology languages. We investigate the general properties of and relationships between these notions and study the relationships between the relevant reasoning problems we have previously identified. To study the computability of these problems, we consider, in particular, Description Logics (DLs), which provide the formal underpinning of the W3C Web Ontology Language (OWL), and show that all the problems we consider are undecidable or algorithmically unsolvable for the description logic underlying OWL DL. In order to achieve a practical solution, we identify conditions sufficient for an ontology to reuse a set of symbols ``safely''---that is, without changing their meaning. We provide the notion of a safety class, which characterizes any sufficient condition for safety, and identify a family of safety classes--called locality---which enjoys a collection of desirable properties. We use the notion of a safety class to extract modules from ontologies, and we provide various modularization algorithms that are appropriate to the properties of the particular safety class in use. Finally, we show practical benefits of our safety checking and module extraction algorithms.

scholarly journals PERANCANGAN MODEL REPRESENTASI PENGETAHUAN BERBASIS ONTOLOGI PADA APLIKASI SIPELANTIK: STUDI KASUS PUSINTEK KEMENTERIAN KEUANGAN

2015 ◽  
Vol 11 (2) ◽  
pp. 93 ◽  
Author(s):  
Andrianto Susilo ◽  
Putu Wuri Handayani ◽  
Iik Wilarso
Keyword(s):  
Business Process ◽  
Service Management ◽  
Description Logic ◽  
Query Language ◽  
Web Ontology Language ◽  
Service Support ◽  
Ontology Language ◽  
Simple Protocol ◽  
Ict Service ◽  
Incident Handling

In supporting the implementation of ICT service management, Pusat Sistem Informasi dan Teknologi Keuangan (Pusintek) already have the Sistem Pengelolaan Layanan Teknologi Informasi dan Komunikasi (Sipelantik) application. This application is the automation of ICT service management business process, especially in the area of Service Support. In practice, the knowledge generated from this business process has broad enough coverage. However, these knowledges are not easily retrieved. Thus, a model that can describe and connect the knowledge is demanded. This study proposes a model of ontology-based ICT services knowledge representation using the existing knowledge on the Sipelantik application. The Ontology models are developed by software Protege in the form of Web Ontology Language (OWL). Simple Protocol And RDF Query Language (SPARQL) and Description Logic (DL) Query are used to obtain the information and knowledge from OWL models and to ensure that the relationships between concepts are properly defined. Reasoner Pellet plugin is used to ensure the consistency of the built ontology models. This research results in six classes of knowledge (knowledge base, role, service request, incident handling, component configuration, and service catalog) including the subclasses and an ontology model as knowledge of ICT services that can be shared and reused.

Ontology of Card Sleights

2019 ◽  
pp. 1-18
Author(s):  
Aaron Sterling
Keyword(s):  
Description Logic ◽  
Design Criteria ◽  
Formal Ontology ◽  
Basic Formal Ontology ◽  
Web Ontology Language ◽  
Ontology Language ◽  
And Performance ◽  
Machine Readable ◽  
The Web

We present a machine-readable movement writing for sleightof-hand moves with cards - a "Labanotation of card magic." This scheme of movement writing contains 440 categories of motion, and appears to taxonomize all card sleights that have appeared in over 1500 publications. The movement writing is axiomatized in SROIQ(D) Description Logic, and collected formally as an Ontology of Card Sleights, a computational ontology that extends the Basic Formal Ontology and the Information Artifact Ontology. The Ontology of Card Sleights is implemented in OWL DL, a Description Logic fragment of the Web Ontology Language. While ontologies have historically been used to classify at a less granular level, the algorithmic nature of card tricks allows us to transcribe a performer's actions step by step. We conclude by discussing design criteria we have used to ensure the ontology can be accessed and modified with a simple click-and-drag interface. This may allow database searches and performance transcriptions by users with card magic knowledge, but no ontology background.

scholarly journals A Decidable Extension of SROIQ with Complex Role Chains and Unions

2013 ◽  
Vol 47 ◽  
pp. 809-851 ◽  
Author(s):  
M. Mosurovic ◽  
N. Krdzavac ◽  
H. Graves ◽  
M. Zakharyaschev
Keyword(s):  
Description Logic ◽  
Web Ontology Language ◽  
Ontology Language ◽  
Tableau Algorithm ◽  
Right Hand ◽  
The Web

We design a decidable extension of the description logic SROIQ underlying the Web Ontology Language OWL 2. The new logic, called SR+OIQ, supports a controlled use of role axioms whose right-hand side may contain role chains or role unions. We give a tableau algorithm for checking concept satisfiability with respect to SR+OIQ ontologies and prove its soundness, completeness and termination.

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