Ontology Engineering Methodology Uni Koblenz Landau-PDF Free Download

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community-driven ontology matching and an overview of the M-Gov framework. 2.1 Collaborative ontology engineering . Ontology engineering refers to the study of the activities related to the ontology de-velopment, the ontology life cycle, and tools and technologies for building the ontol-ogies [6]. In the situation of a collaborative ontology .

„Werkstofftechnik Glas und Keramik“ Master of Engineering „Ceramic Science and Engineering“ Hochschule Koblenz WesterWaldCampus Fachbereich bauen-kunst-werkstoffe, Werkstofftechnik Glas und Keramik Rheinstraße 56, D-56203 Höhr-Grenzhausen Telefon 492624-9109-0 Telefax 492624-

Theory and Case Study Practice Student: Urs Kuhlmann Enrolment No.: 201210817 Address: Karolingerstr. 7 56068 Koblenz Supervisors: Dr. Andreas Winter Prof. Dr. Klaus G. Troitzsch Institute of Software Engineering Institut für Wirtschafts- und University of Koblenz Verwaltungsinformatik University of Koblenz

method in map-reduce framework based on the struc-ture of ontologies and alignment of entities between ontologies. Definition 1 (Ontology Graph): An ontology graph is a directed, cyclic graph G V;E , where V include all the entities of an ontology and E is a set of all properties between entities. Definition 2 (Ontology Vocabulary): The .

To enable reuse of domain knowledge . Ontologies Databases Declare structure Knowledge bases Software agents Problem-solving methods Domain-independent applications Provide domain description. Outline What is an ontology? Why develop an ontology? Step-By-Step: Developing an ontology Underwater ? What to look out for. What Is "Ontology .

ontology database, we can answer queries based on the ontology while automat-ically accounting for subsumption hierarchies and other logical structures within each set of data. In other words, the database system is ontology-driven, com-pletely hiding underlying data storageand retrieval details from domain experts,

A Framework for Ontology-Driven Similarity Measuring Using Vector Learning Tricks Mengxiang Chen, Beixiong Liu, Desheng Zeng and Wei Gao, Abstract—Ontology learning problem has raised much atten-tion in semantic structure expression and information retrieval. As a powerful tool, ontology is evenly employed in various

This research investigates how these technologies can be integrated into an Ontology Driven Multi-Agent System (ODMAS) for the Sensor Web. The research proposes an ODMAS framework and an implemented middleware platform, i.e. the Sensor Web Agent Platform (SWAP). SWAP deals with ontology construction, ontology use, and agent

Ontology provides a sharable structure and semantics in knowledge management, e-commerce, decision-support and agent communication [6]. In this paper, we described the conceptual framework for an ontology-driven semantic web examination system. Succinctly, the paper described an ontology required for developing

Ontology driven clinical decision support frameworks An ontology is an explicit specification of a conceptualization. The term is borrowed from philosophy, where an ontology is a systematic account of existence. For AI systems, what “exists” is that which can be represented. When the knowledge of a domain is rep-

entities, classes, properties and functions related to a certain view of the world. The use of an ontology, translated into an active information system component, leads to Ontology-Driven Information Systems and, in the specific case of GIS, leads to what we call Ontology-Driven Geographic Information Systems.

Top-level ontologies provide domain-independent conceptualization, relations, and axioms (e.g., categories like Event, Mental Object, Quality, etc.) in order to standardize upper-level of a model thus enable linking con ontology with other freely available ontology such Link data vocabulary (LOV) 2 and Biomedical Ontology by NCBO3. In ContSOnto

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Composite Domain Ontology Engineering Problem Existing research into ontology engineering focuses on: Creating new ontologies Aligning existing, redundant ontologies Interacting with ontologies using software tools No real effort spent on high-level engineering of cohesive ontologies Goal Develop a methodology for linking and re-purposing ontologies in

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over the concepts. Ontology Engineering in Semantic Web is primarily supported by languages such as RDF, RDFS and OWL (Ding, 2007). To accomplish ontology driven software development for automated documentation, first of all, a multi-phase framework is proposed which is then exhibited using a case study. This multi-phase framework has overall .

1 Ontology Development 101: A Guide to Creating Your First Ontology Natalya F. Noy and Deborah L. McGuinness Stanford University, Stanford, CA, 94305

We create a general framework for ontology-driven subspace clustering. This framework can be most beneficial for the hierar-chically organized subspace clustering algorithm and ontology hi-erarchy, i.e., it is independent of the clustering algorithms and on-tology application domain. To demonstrate the usefulness of this

tem framework implementation, Ontology-driven methods, Ontology extraction methods 1 Introduction Nowadays one of the pressing problems is effective and high-quality processing of unstructured and semi-structured data presented as a natural language text. To gain

captured by the Ontology can be used to semantically reason about security and resiliency of the physical components. In this paper, we present our Ontology-driven framework that captures some of the physical and cyber components of a Vehicle-to-Infrastructure (V2I) reference architecture [7], including design goals and requirements .

The InCA framework is an ontology driven system articulated according to three interrelated components: (1) a user ontology that covers various characteristics of the user and an inferred behavioral profile (2) a domain ontology, a set of interrelated concepts and learning objects, (3) different types of agents which access the user

work for ontology-driven information systems which aims at increasing an operator’s SAW. The linchpin of our framework is a domain-independent SAW core ontology which leverages the reusability of BeAware! by the incorporation of spatio-temporal primitive relations between observed real-world objects.

becomes a driving force for building ontology-driven content-based sys-tems (ODCBSs). The building blocks of ODCBSs are ontologies, content and annotations, forming a layered information model. In most ODCBSs, changes in the content, in the ontology or in the annotation are inevitable and are observed on a daily basis.

ONTOLOGY-DRIVEN GEOGRAPHIC INFORMATION SYSTEMS By Frederico Torres Fonseca B.S. Federal University of Minas Gerais - Brazil, 1977 . models within a community is an ontology. This thesis introduces a framework for the integration of geographic information. We use ontologies as the foundation of this framework.

In this paper, we describe the implementation of an ontology-driven framework for provenance management in eScience projects. The framework consists of an upper-level ontology called provenir that can be extended to model interoperable, domain-specific provenance ontologies. The application of the framework is demonstrated in two

names with uri expressions, which include a :prefix specification similar to XML namespace prefixes. With this new feature, we can add @prefix: to each term in a Web-PDDL file to declare its namespace (ontology); for instance, @rdfs:Literal means a type from the rdfs namespace. Symbols without a prefix come from the local namespace.

In this paper, we try to build method and task ontology based on COBIT framework, using its existing meta-model, documentation and terminology indexation. The article is presented as following, section 2 presents ontology literature review, section 3 detailed COBIT consti

A book has a minimum of one human-creator A book has a minimum of one title A book has a minimum of one publisher A book has a minimum of one year for the entry book in the bibtex ontology [ ]. According to OWL ontology, a statement is composed of three major elements, subjec

Ochs, Christopher, Zhe He, Yehoshua Perl, Sivaram Arabandi, Michael Halper, and James Geller. "Choosing the Granularity of Abstraction Networks for Orientation and Quality Assurance of the Sleep Domain Ontology." In ICBO, pp. 84-89. 2013. He, Zhe, Christopher Ochs, Ankur

The ontology development workflow will include standard text mining nodes such as Import, Parsing, Filter, Topic, and Cluster for processing the . of text analytics and automotive safety professionals. . ontology workbench that makes use of both Lucene and GATE [3] to produce many of th

(ISO/IEC/IEEE 29148 [19]) and Software Testing process (ISO/IEC/IEEE 29119 [18]). For this reason, ontology patterns (OPs) arise as a promising alternative to organize the ontology framework, maintaining the actual benefits, and improving it to a modular and reusable solution [5]. In such approach, a domain

psychoanalysis to philosophy (as ontology) remains much more interesting and intricate. Perhaps the best way to put it would be to say that their non-relation, implied in the statement that psychoanalysis is not ontology, is the most intimate. This

An Automatic Ontology Generation Framework with An Organizational Perspective . lack of fully-automated domain-independent ontology generation systems that address common data quality issues. The framework utilizes refined KGs to

principle for photographic art, one must also ac-cept standard repeatable work ontology for pho-tographs. The principal question then becomes whether photographic ontology can plausibly be viewed in terms of the standard model for repeat-able works—photographic art’s ontological inher-itance depends on the answer.Cited by: 2Publish Year: 2012Author: Christy Mag Uidhir

Processing for ontology extraction from text April 28, 05 27 TM and NLP for ontology extraction from text lexical information extraction syntactic analysis semantic information extraction April 28, 05 28 Lexical acquisition collocations n-grams April 28, 05 29 Collocations A collocation is an expression consisting of

proxies within a workflow of computational tasks. For exam-ple, a method for ontology evaluation can be described for-mally at the social level, and, when the evaluation is limited to the structural aspects of an ontology, most tasks can be accomplished by an implemented algorithm. On the other