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Ontology development 101: A guide to creating your first ontology (0)

by N F Noy, D L McGuinness
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The Protégé OWL plugin: An open development environment for semantic web applications

by Holger Knublauch, Ray W. Fergerson, Natalya F. Noy, Mark A. Musen , 2004
"... Abstract. We introduce the OWL Plugin, a Semantic Web extension of the Protégé ontology development platform. The OWL Plugin can be used to edit ontologies in the Web Ontology Language (OWL), to access description logic reasoners, and to acquire instances for semantic markup. In many of these featur ..."
Abstract - Cited by 226 (5 self) - Add to MetaCart
Abstract. We introduce the OWL Plugin, a Semantic Web extension of the Protégé ontology development platform. The OWL Plugin can be used to edit ontologies in the Web Ontology Language (OWL), to access description logic reasoners, and to acquire instances for semantic markup. In many of these features, the OWL Plugin has created and facilitated new practices for building Semantic Web contents, often driven by the needs of and feedback from our users. Furthermore, Protégé’s flexible open-source platform means that it is easy to integrate customtailored components to build real-world applications. This document describes the architecture of the OWL Plugin, walks through its most important features, and discusses some of our design decisions. 1
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...s. As a result, a development tool for Semantic Web applications should provide services to access, visualize, edit, and use ontologies. Furthermore, since ontologies may be notoriously hard to build =-=[13]-=-, a tool should provide intelligent assistance in ontology construction and evolution. Finally, since the Semantic Web is open to so many potential application areas, a tool should be customizable and...

SOUPA: Standard Ontology for Ubiquitous and Pervasive Applications

by Harry Chen, Filip Perich, Tim Finin, Anupam Joshi - In Int. Conf. on Mobile and Ubiquitous Systems: Networking and Services , 2004
"... We describe a shared ontology called SOUPA – Standard Ontology for Ubiquitous and Pervasive Applications. SOUPA is designed to model and support pervasive computing applications. This ontology is expressed using the Web Ontology Language OWL and includes modular component vocabularies to represent i ..."
Abstract - Cited by 167 (5 self) - Add to MetaCart
We describe a shared ontology called SOUPA – Standard Ontology for Ubiquitous and Pervasive Applications. SOUPA is designed to model and support pervasive computing applications. This ontology is expressed using the Web Ontology Language OWL and includes modular component vocabularies to represent intelligent agents with associated beliefs, desires, and intentions, time, space, events, user profiles, actions, and policies for security and privacy. We discuss how SOUPA can be extended and used to support the applications of CoBrA, a broker-centric agent architecture for building smart meeting rooms, and MoGATU, a peer-to-peer data management for pervasive environments. 1.
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... of concepts in a domain of discourse 1 http://pervasive.semanticweb.org (or classes), properties of each class describing various features and attributes of the class, and restrictions on properties =-=[21]-=-. The normative OWL exchange syntax is RDF/XML. Ontologies expressed in OWL are usually placed on web servers as web documents, which can be referenced by other ontologies and downloaded by applicatio...

User-driven ontology evolution management

by A. Maedche, B. Motik, L. Stojanovic, N. Stojanovic , 2002
"... Abstract. With rising importance of knowledge interchange, many industrial and academic applications have adopted ontologies as their conceptual backbone. However, industrial and academic environments are very dynamic, thus inducing changes to application requirements. To fulfill these changes, ofte ..."
Abstract - Cited by 122 (7 self) - Add to MetaCart
Abstract. With rising importance of knowledge interchange, many industrial and academic applications have adopted ontologies as their conceptual backbone. However, industrial and academic environments are very dynamic, thus inducing changes to application requirements. To fulfill these changes, often the underlying ontology must be evolved as well. As ontologies grow in size, the complexity of change management increases, thus requiring a wellstructured ontology evolution process. In this paper we identify a possible sixphase evolution process and focus on providing the user with capabilities to control and customize it. We introduce the concept of an evolution strategy encapsulating policy for evolution with respect to user’s requirements. 1
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...erlying ontology and all dependent artifacts [27]; 2. It should be supervised allowing the user to manage changes more easily [31]; 3. It should offer advice to user for continual ontology refinement =-=[8, 22]-=-. 2 http://kaon.semanticweb.orgsThe first requirement is the essential one for any ontology evolution approach – after applying a change to a consistent ontology, the ontology should remain in consist...

Methods and Tools for Ontology Evolution

by Ljiljana Stojanovic , 2004
"... ..."
Abstract - Cited by 115 (3 self) - Add to MetaCart
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Jambalaya: Interactive visualization to enhance ontology authoring and knowledge acquisition in Protégé

by Margaret-anne Storey, Mark Musen, John Silva, Casey Best, Neil Ernst, Ray Fergerson, Natasha Noy - in Protégé. Workshop on Interactive Tools for Knowledge Capture (K-CAP-2001 , 2001
"... This paper describes the integration of an interactive visualization user interface with a knowledge management tool called Protg. Protg is a general-purpose tool that allows domain experts to build knowledge-based systems by creating and modifying reusable ontologies and problem-solving methods, an ..."
Abstract - Cited by 69 (10 self) - Add to MetaCart
This paper describes the integration of an interactive visualization user interface with a knowledge management tool called Protg. Protg is a general-purpose tool that allows domain experts to build knowledge-based systems by creating and modifying reusable ontologies and problem-solving methods, and by instantiating ontologies to construct knowledge bases. The SHriMP (Simple Hierarchical Multi-Perspective) visualization technique was designed to enhance how people browse, explore and interact with complex information spaces. Although SHriMP is information independent, its primary use to date has been for visualizing and documenting software programs. The paper describes how we have applied software visualization techniques to more general knowledge domains. It is hoped that the integrated environment (called Jambalaya) will result in an easier to use and more powerful environment to support ontology evolution and knowledge acquisition. An example scenario of how Jambalaya can be applied to knowledge acquisition is provided. 1

OntoQA: Metric-based ontology quality analysis

by Samir Tartir, I. Budak Arpinar, Michael Moore, Amit P. Sheth, Boanerges Aleman-meza - IEEE Workshop on Knowledge Acquisition from Distributed, Autonomous, Semantically Heterogeneous Data and Knowledge Sources , 2005
"... As the Semantic Web gains importance for sharing knowledge on the Internet this has lead to the development and publishing of many ontologies in different domains. When trying to reuse existing ontologies into their applications, users are faced with the problem of determining if an ontology is suit ..."
Abstract - Cited by 49 (3 self) - Add to MetaCart
As the Semantic Web gains importance for sharing knowledge on the Internet this has lead to the development and publishing of many ontologies in different domains. When trying to reuse existing ontologies into their applications, users are faced with the problem of determining if an ontology is suitable for their needs. In this paper, we introduce OntoQA, an approach that analyzes ontology schemas and their populations (i.e. knowledgebases) and describes them through a well defined set of metrics. These metrics can highlight key characteristics of an ontology schema as well as its population and enable users to make an informed decision quickly. We present an evaluation of several ontologies using these metrics to demonstrate their applicability. 1.
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...ools, and usage costs. Unfortunately, the use of the OntoMetric tool introduced in the paper is not clearly defined, and the large number of characteristics makes their model difficult to understand. =-=[10]-=- provides a seven-step guide for developing ontology. The steps include guidelines ranging from what to include in the ontology, how to build a good class hierarchy, how to create class slots (attribu...

Ontology Visualization Methods -- A Survey

by Akrivi Katifori, Constantin Halatsis, George Lepouras, Costas Vassilakis, Eugenia Giannopoulou , 2007
"... Ontologies, as sets of concepts and their interrelations in a specific domain, have proven to be a useful tool in the areas of digital libraries, the semantic web, and personalized information management. As a result, there is a growing need for effective ontology visualization for design, managemen ..."
Abstract - Cited by 45 (3 self) - Add to MetaCart
Ontologies, as sets of concepts and their interrelations in a specific domain, have proven to be a useful tool in the areas of digital libraries, the semantic web, and personalized information management. As a result, there is a growing need for effective ontology visualization for design, management and browsing. There exist several ontology visualization methods and also a number of techniques used in other contexts that could be adapted for ontology representation. The purpose of this article is to present these techniques and categorize their characteristics and features in order to assist method selection and promote future research in the area of ontology visualization.

CLOnE: Controlled Language for Ontology Editing

by Adam Funk, Valentin Tablan, Kalina Bontcheva, Hamish Cunningham, Brian Davis, Siegfried Handschuh , 2007
"... This paper presents a controlled language for ontology editing and a software implementation, based partly on standard NLP tools, for processing that language and manipulating an ontology. The input sentences are analysed deterministically and compositionally with respect to a given ontology, which ..."
Abstract - Cited by 45 (10 self) - Add to MetaCart
This paper presents a controlled language for ontology editing and a software implementation, based partly on standard NLP tools, for processing that language and manipulating an ontology. The input sentences are analysed deterministically and compositionally with respect to a given ontology, which the software consults in order to interpret the input’s semantics; this allows the user to learn fewer syntactic structures since some of them can be used to refer to either classes or instances, for example. A repeated-measures, task-based evaluation has been carried out in comparison with a well-known ontology editor; our software received favourable results for basic tasks. The paper also discusses work in progress and future plans for developing this language and tool.
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... short manual introduces ontologies and provides “quick start” instructions for both pieces of software. Although much simpler, our manual was partly inspired by Protégé’s Ontology 101 documentation. =-=[19]-=- – The post-test questionnaire for each tool is the System Usability Scale (SUS), which also produces a score of 0–100. [20] – We devised a comparative questionnaire to measure each user’s preference ...

An ontology-based framework for bridging learning design and learning content

by Colin Knight, Dragan Gašević, Griff Richards - Educational Technology & Society , 2006
"... The paper describes an ontology-based framework for bridging learning design and learning object content. In present solutions, researchers have proposed conceptual models and developed tools for both of those subjects, but without detailed discussions of how they can be used together. In this paper ..."
Abstract - Cited by 41 (3 self) - Add to MetaCart
The paper describes an ontology-based framework for bridging learning design and learning object content. In present solutions, researchers have proposed conceptual models and developed tools for both of those subjects, but without detailed discussions of how they can be used together. In this paper we advocate the use of ontologies to explicitly specify all learning designs, learning objects, and the relations between them, and show how this use of ontologies can result in more effective (semi-)automatic tools and services that increase the level of reusability. We first define a three-part conceptual model that introduces an intermediate level between learning design and learning objects called the learning object context. We then use ontologies to facilitate the representation of these concepts: LOCO is a new ontology based on IMS-LD, ALOCoM is an existing ontology for learning objects, and LOCO-Cite is a new ontology for the learning object contextual model. We conclude by showing the applicability of the proposed framework in a use case study.
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...xt Ontology (LOCO). To create the LOCO, we needed to make some changes to the Information Model (IMS-LD-IM, 2003) in order to conform to established good-practice recommendations for ontology design (=-=Noy & McGuinness, 2001-=-), and to resolve some ambiguities and inconsistencies in the information model. We have already reported these inconsistencies in detail in (Knight et al, 2005). To date the LOCO only addresses IMS-L...

Context aware computing for the internet of things: A survey

by Charith Perera, Student Member, Arkady Zaslavsky, Peter Christen, Dimitrios Georgakopoulos - Communications Surveys Tutorials, IEEE , 2014
"... Abstract—As we are moving towards the Internet of Things (IoT), the number of sensors deployed around the world is growing at a rapid pace. Market research has shown a significant growth of sensor deployments over the past decade and has predicted a significant increment of the growth rate in the fu ..."
Abstract - Cited by 38 (7 self) - Add to MetaCart
Abstract—As we are moving towards the Internet of Things (IoT), the number of sensors deployed around the world is growing at a rapid pace. Market research has shown a significant growth of sensor deployments over the past decade and has predicted a significant increment of the growth rate in the future. These sensors continuously generate enormous amounts of data. However, in order to add value to raw sensor data we need to understand it. Collection, modelling, reasoning, and distribution of context in relation to sensor data plays critical role in this challenge. Context-aware computing has proven to be successful in understanding sensor data. In this paper, we survey context awareness from an IoT perspective. We present the necessary background by introducing the IoT paradigm and context-aware fundamentals at the beginning. Then we provide an in-depth analysis of context life cycle. We evaluate a subset of projects (50) which represent the majority of research and commercial solutions proposed in the field of context-aware computing conducted over the last decade (2001-2011) based on our own taxonomy. Finally, based on our evaluation, we highlight the lessons to be learnt from the past and some possible directions for future research. The survey addresses a broad range of techniques, methods, models, functionalities, systems, applications, and middleware solutions related to context awareness and IoT. Our goal is not only to analyse, compare and consolidate past research work but also to appreciate their findings and discuss their applicability towards the IoT. Index Terms—Internet of things, context awareness, sensor networks, sensor data, context life cycle, context reasoning, context modelling, ubiquitous, pervasive, mobile, middleware. I.
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