ProjectsThatUseProtegeRtoZ

Project from Dr. M.G.R. University to support farm automation and agro-processing. Created a Rice ontology for RiceIndia.com.    (C78)

The goal of the project is to develop a flexible architecture for knowledge-based analysis of the WWW. The Rainbow system employs the web service and semantic web technology to analyse and present to a user or computer agent the content and structure of legacy websites. The analysis of a website is multiway, with results being integrated. The conspicuous feature of analysis services is their systematic categorisation according to four dimensions: abstract type of task (classification, retrieval, extraction), type of ‘current’ object (e.g. document, hyperlink, image), type of analysed data (e.g. free text, HTML tags, link topology, image data), and problem domain (e.g. bicycle sales). This four-dimensional approach is captured by the so-called ‘task-object-datatype-domain’ (TODD) knowledge-level framework and by an associated collection of ontologies.    (5Q8)

Note: the ontologies were developed using Protege.    (5Q9)

The project aim is to develop a Semantic Web infrastructure for the cultural heritage domain. We developed an ontology deployment environment based on open source software components, like Protege-2000, Sesame, postgresql, etc. We are currently using Protege to develop a cultural heritage ontology that includes the metadata set used by the Istituto Centrale del Catalogo e Documentazione of the Italian ministry of cultural heritage activities.    (5S6)

Role engineering for healthcare    (8D8)

Situation Aware Protocols in Edge Network Technologies; the SPARTA, Inc. & Sandpiper Software team uses Protege to assist in converting OWL ontologies for use with Jess, including ontology components that describe networks, network technologies and applications.    (5QD)

ISX is working on several pilot Semantic Web applications for improved information discovery and knowledge management for intelligence analysts. These are US government-funded. We are using Protege to author OWL ontologies, which are then used to ingest Web documents and other data sources for integration in a Sesame-based repository. This repository can be exploited by a number of tools for humans and software agents. We are also investigating ontology versioning issues (just finished a project with Lehigh University).    (5S8)

The activities of this workpackage performed by the Industrial Ontologies Group for SCOMA project, focused on adding explicit semantics to the target mathematical resources, which were integrated to the SCOMA knowledge portal. The alpha version of the engine was implemented and showed the feasibility of the real portal implementation including sophisticated search features. Semantics were added in a form of metadata represented according to the standards of W3C’s Semantic Activity using Protege. SCOMA (Center for Scientific Computing and Optimization in Multidisciplinary Applications - http://www.jyu.fi/scoma/) will be a gateway between multi-disciplinary technologies and the future knowledge society in intertwining mathematical information technologies, with human behavioral and societal research groups at the university, and through partnerships with small and large industries.    (5QF)

Scyllarus is a network security alert correlator and analyzer developed by Honeywell Laboratories that uses Protégé to maintain an ontology of the protected environment, vulnerabilities and capabilities of sensors that provides the context for alert correlation. The ontology is initially populated by a number of automated tools and is then reviewed and edited using the Protégé GUI. While the Protégé GUI is used to edit the ontology, much of the work with Scyllarus has been to use the Protégé server in the backend to allow clients to access the ontology without needing to load all of the frames in their respective memory spaces.    (5QH)

The security ontology was proposed based on the security relationship model described in the National Institute of Standards and Technology Special Publication 800-12. In the following the high-level concepts and corresponding relations of the ontology are described: A threat gives rise to follow-up threats, represents a potential danger to the organization’s assets and affects specific security attributes (e.g. confidentiality, integrity, and/or availability) as soon as it exploits a vulnerability in the form of a physical, technical, or administrative weakness. Additionally each threat is described by potential threat origins (human or natural origin) and threat sources (accidental or deliberate source). For each vulnerability a severity value and the asset on which the vulnerability could be exploited is assigned. Controls have to be implemented to mitigate an identified vulnerability and to protect the respective assets by preventive, corrective, deterrent, recovery, or detective measures (control type). Each control is implemented as asset concept, or as combinations thereof. Controls are derived from and correspond to best-practice and information security standard controls (e.g. the German IT Grundschutz Manual and ISO/IEC 27001) to ensure the incorporation of widely accepted knowledge. The controls are modeled on a highly granular level and are thus reusable for different standards. When implementing the controls, a compliance with various information security standards is implicit. To enrich the knowledge model with concrete information security knowledge the German IT Grundschutz Manual has been superimposed on the security ontology and more than 500 information security concepts and 600 corresponding formal axioms are integrated into the ontological knowledge base. The coded ontology follows the OWL-DL (W3C Web Ontology Language) standard and ensures that the knowledge is represented in a standardized and formal form.    (AMO)

This R&D project at WellPoint Inc. examines the state of the industry for understanding and applying semantic techniques towards business problems particularly in the insurance and healthcare sectors. The project includes the analysis, testing, and implementation aspects of semantic modeling tools such as Protege. For more information please contact Mark Weaver at 314-923-4081.    (5S1)

The software is a collection of open-source programs designed to work together: (1) a semantic-based search engine named Kit (with recommendation capability), (2) a set of ontologies for representing knowledge relationships, (3) a navigator tool for navigating between points in the ontologies, and (4) a tagging procedure so anyone can create and publicly register a standard tag for their content and then find it with the search engine.    (5QJ)

The software is available immediately on the site: http://semantical.org. It is based entirely on Semantic Web standards approved by the W3C.    (5QK)

Semantic Integration Technology Applied in Grid-based, Model-driven Architectures    (5QO)

Used Protege to develop an ontology of the Software Engineering Body of Knowledge (SWEBOK). This ontology is based on the document of the same name that is produced and maintained by IEEE.    (5QS)

Contact: dennis dot g dot lamarre at ssa.gov    (5QT)

Utilized Protege to develop an ontology of SAN technology. Mapped specific vendor hardware offerings as instances of the ontology classes. This enabled a clear separation of each vendor’s SAN technology from their extensive marketing hype. One outcome was a clear "apples-to-apples" comparison of vendor technology.    (5QY)

Contact: dennis dot g dot lamarre at ssa.gov    (5QZ)

The TaskTracer project at Oregon State University has been developing fully-functional prototypes of new task-oriented personal computer environments that track a user's interactions with all applications, automatically organize the user's information naturally according to tasks, and intelligently leverage the collected data to make desktop applications more task-aware. TaskTracer not only improves personal productivity by reducing overhead interaction and cognitive costs, but also will support collaboration in workgroups by allowing the sharing of task profiles - records of how a user completed a task, incorporating both the resources used, and high level records of actions on those resources.    (5R2)

We are using Protege with our students to generate a "biodatabase ontology" covering all concepts represented by the databases we access through the SRS portal at the European Bioinformatics Institute (EBI). This "project" has been started as an exercise for the students and is expanding now into a small research project carried on by students and some of the scientists at Fraunhofer Institute for Algorithms and Scientific Computing (SCAI). We hope to be able to publish our results this year. The final "biodatabase ontology" could serve as an abstraction layer covering concepts of all major biodatabases and thus supporting efforts to use this abstraction layer for semantic mediation.    (5R4)

Protege is an essential tool for us and I am promoting the use of Protege wherever and whenever possible. Thanks to the scientists at Stanford and the entire Protege project for their contribution.    (5R5)

Martin Hofmann, Head of the Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing and Acting Professor for Applied Bioinformatics, Bonn-Aachen International Center for Information Technology (B-IT)    (5R6)

TeLQAS is a domain-specific question answering system developed as a research project in Iran Telecom Research Centre (ITRC). The aim of TeLQAS is to take a question in natural language and then provide the user with both a direct answer and a set of supportive related documents. TeLQAS is a distinctive project among others in the way it uses a wide variety of different methodologies and techniques of Information Retrieval and Computational Linguistics. With a scaleable and modular architecture we have used different components for Query Processing, Plausible Answering, Summarization & Navigation, Ontology ,Focused Crawling and Automatic Categorization. People in TeLQAS have had many innovation to improve both the architecture and components.    (5R7)

The Typological Database System (TDS) provides an online interface to multiple independently developed typological databases. It allows unified querying by means of an integrated global ontology developed in Protégé.    (5R9)

The TDS project is being carried out by a research group of the Netherlands Graduate School of Linguistics (LOT), with members representing the University of Amsterdam, Leiden University, Radboud University Nijmegen, and Utrecht University.    (5RA)

The Universal Data Element Framework (UDEF) provides simplification of information management through consistent classification and assignment of a structured indexing identifier to metadata. A Protégé project with the UDEF embedded in it was developed to enable UDEF identifiers to be assigned to Protégé classes and slots.    (5RC)

Prototype for multi disciplinary assessments of urban development plans (urban masterplans and neighborhood designs).    (5RE)

Our work is about using ontologies to help the execution of imperative requests expressed in natural language. Our work uses restricted natural language to describe user intentions and software components to execute them. The advantage of our approach is that natural language requests are first converted to an interlingua, UNL (Universal Networking Language). The interlingua allows the use of different human languages to express the requests (other systems are restricted to English). The semantics of the interlingua, enhanced by ontologies, is used to retrieve the appropriate software components to execute the natural language requests.    (5S3)

To achieve our goal we use the Protege-OWL Plugin and its other tab plug-ins (e.g. the JessTab) to develop and manage two ontologies: the Components Ontology, that describes the software components of a specific domain, and the Domain Ontology, that describes the concepts of the application domain.    (5S4)

Course covers current research issues in M&S, including model semantics, interoperability, composability, coercion, multiresolution modeling, validation, and emergence. Semantic description underlies all of these issues. We investigate current best practices to semantic description. That includes OWL/RDF and the best editor to support its use: Protege.    (5RH)

Paul Reynolds, Professor, Computer Science, University of Virginia    (5RI)

I am presenting a paper at the ISDC 2006 in Los Angeles in May. Protege is a key component of the tool set for the paper.    (5RK)

Uses Protege-OWL for the representation of a virtual world, and for creating a causal structure of a story.    (5RN)

Complete environment for Interactive Voice Response applications definition and management. Protege is used to store all the parameters for those multilingual applications. A complete set of JSTL tags has been developed specifically for Voice Application Content Management (this is not a generic set of JSTL tags for Protege). Commercial product.    (5RP)

Vox Populi is a system for automatic generation of Biased Video Sequences. In few words, Vox Populi uses rhetorical annotations to generate video sequences. Our annotation schema encodes the verbal information contained in the audio channel, identifying the claims the interviewees make and the argumentation structures they use to make those claims.    (5RR)

Based on this schema, we construct a semantic graph which is traversed by rhetoric-based strategies selecting video segments.    (5RS)

Uses OWL to represent design patterns used in object oriented software engineering.    (5RV)

The WebOfPatterns (WOP) is a toolkit that facilitates the sharing of knowledge about software design.    (8BR)

The Woundontology Consortium is a semi-open, international, virtual community of practice devoted to advancing the field of research in non-invasive wound assessment by image analysis, ontology and knowledge acquisition (content–based visual information retrieval).    (ACJ)