Smart Open Services for European Patients. Work Package 3.5 Semantic Services Definition Appendix E - Ontology Specifications

Similar documents
epsos Semantic Interoperability Semantic Days 2010 June 1 st, 2010 Stavanger, Norway

Orchestrating Music Queries via the Semantic Web

Reducing Consumer Uncertainty

TOWARDS ONTOLOGY DEVELOPMENT BASED ON RELATIONAL DATABASE

OpenPlant Accelerating ISO Adoption Through Open Applications.

New Approach to Graph Databases

Opus: University of Bath Online Publication Store

D WSMO Data Grounding Component

Ontology Building. Ontology Building - Yuhana

OWL a glimpse. OWL a glimpse (2) requirements for ontology languages. requirements for ontology languages

Semantic Technologies and CDISC Standards. Frederik Malfait, Information Architect, IMOS Consulting Scott Bahlavooni, Independent

LexGrid Philosophy, Model and Interfaces Harold R Solbrig Division of Biomedical Statistics and Informatics Mayo Clinic

A Tool for Storing OWL Using Database Technology

OWLS-SLR An OWL-S Service Profile Matchmaker

WHO ICD11 Wiki LexWiki, Semantic MediaWiki and the International Classification of Diseases

Ontology Summit2007 Survey Response Analysis. Ken Baclawski Northeastern University

Semantic Annotation, Search and Analysis

An Annotation Tool for Semantic Documents

Languages and tools for building and using ontologies. Simon Jupp, James Malone

OASIS Electronic Trial Master File Standard Technical Committee

ACT Automated Clearance Tool: Improving the Diplomatic Clearance Process for AMC

Semantic Web and Natural Language Processing

Reducing Consumer Uncertainty Towards a Vocabulary for User-centric Geospatial Metadata

Development of an Ontology-Based Portal for Digital Archive Services

Starting Ontology Development by Visually Modeling an Example Situation - a User Study

Ontology Development. Qing He

FIBO Metadata in Ontology Mapping

Semantics Modeling and Representation. Wendy Hui Wang CS Department Stevens Institute of Technology

Knowledge Representations. How else can we represent knowledge in addition to formal logic?

Deep Integration of Scripting Languages and Semantic Web Technologies

Extracting knowledge from Ontology using Jena for Semantic Web

A Semantic Web-Based Approach for Harvesting Multilingual Textual. definitions from Wikipedia to support ICD-11 revision

Building the NNEW Weather Ontology

Web Ontology for Software Package Management

Dynamic Models - A case study in developing curriculum regulation and conformity using Protege

Protégé-2000: A Flexible and Extensible Ontology-Editing Environment

Ontology Development and Engineering. Manolis Koubarakis Knowledge Technologies

AutoRDF - Using OWL as an Object Graph Mapping (OGM) specification language

The Open Group SOA Ontology Technical Standard. Clive Hatton

Large scale ehealth deployment in Europe: insights from concurrent use of standards

Ontological Decision-Making for Disaster Response Operation Planning

SEMANTIC WEB DATA MANAGEMENT. from Web 1.0 to Web 3.0

University of Huddersfield Repository

SKOS. COMP62342 Sean Bechhofer

It Is What It Does: The Pragmatics of Ontology for Knowledge Sharing

Semantic Web. Lecture XIII Tools Dieter Fensel and Katharina Siorpaes. Copyright 2008 STI INNSBRUCK

warwick.ac.uk/lib-publications

Structure of This Presentation

Transformation Manager

Ontologies SKOS. COMP62342 Sean Bechhofer

An aggregation system for cultural heritage content

The National Cancer Institute's Thésaurus and Ontology

W3C Web of Things. Mohammed Dadas - Orange

Lecture Telecooperation. D. Fensel Leopold-Franzens- Universität Innsbruck

Using ontologies function management

Vocabulary Sharing and Maintenance using HL7Master File / Registry Infrastructure

COMBINING X3D WITH SEMANTIC WEB TECHNOLOGIES FOR INTERIOR DESIGN

ICD Wiki Framework for Enabling Semantic Web Service Definition and Orchestration

Adding formal semantics to the Web

Generalized Document Data Model for Integrating Autonomous Applications

Helmi Ben Hmida Hannover University, Germany

GraphOnto: OWL-Based Ontology Management and Multimedia Annotation in the DS-MIRF Framework

Interoperability, critical element for an ehealth Strategy

A Knowledge-Based System for the Specification of Variables in Clinical Trials

Use of the CIM Ontology. Scott Neumann, UISOL Arnold DeVos, Langdale Steve Widergren, PNNL Jay Britton, Areva

Semantic Web. Ontology Pattern. Gerd Gröner, Matthias Thimm. Institute for Web Science and Technologies (WeST) University of Koblenz-Landau

W3C WoT call CONTEXT INFORMATION MANAGEMENT - NGSI-LD API AS BRIDGE TO SEMANTIC WEB Contact: Lindsay Frost at

Semantics and the Web: e-government Implications of some Emerging Technology Beyond W3C

Event Stores (I) [Source: DB-Engines.com, accessed on August 28, 2016]

Army Data Services Layer (ADSL) Data Mediation Providing Data Interoperability and Understanding in a

Introduction to the Semantic Web

Proposal for Implementing Linked Open Data on Libraries Catalogue

Dartgrid: a Semantic Web Toolkit for Integrating Heterogeneous Relational Databases

Tania Tudorache Stanford University. - Ontolog forum invited talk04. October 2007

BLU AGE 2009 Edition Agile Model Transformation

ONTOLOGY SUPPORTED ADAPTIVE USER INTERFACES FOR STRUCTURAL CAD DESIGN

Semantic Web Technologies Trends and Research in Ontology-based Systems

Semantic Query Answering with Time-Series Graphs

CSc 8711 Report: OWL API

Toward a Knowledge-Based Solution for Information Discovery in Complex and Dynamic Domains

Simplified Approach for Representing Part-Whole Relations in OWL-DL Ontologies

Collaborative Ontology Construction using Template-based Wiki for Semantic Web Applications

XML related Data Exchange from the Test Machine into the Web-enabled Alloys-DB. Nagy M, Over HH, Smith A

Ontology-based Architecture Documentation Approach

Linked Data: Fast, low cost semantic interoperability for health care?

Semantic Web and ehealth

SEMANTIC WEB LANGUAGES - STRENGTHS AND WEAKNESS

Recommended Practice for Software Requirements Specifications (IEEE)

Position Paper W3C Workshop on RDF Next Steps: OMG Ontology PSIG

MarcOnt - Integration Ontology for Bibliographic Description Formats

Extension and integration of i* models with ontologies

An Evaluation of Geo-Ontology Representation Languages for Supporting Web Retrieval of Geographical Information

Open Ontology Repository Initiative

QuickTime and a Tools API Breakout. TIFF (LZW) decompressor are needed to see this picture.

Semantic Web Test

5 RDF and Inferencing

Ontology Refinement and Evaluation based on is-a Hierarchy Similarity

SEMANTIC WEB POWERED PORTAL INFRASTRUCTURE

A tutorial report for SENG Agent Based Software Engineering. Course Instructor: Dr. Behrouz H. Far. XML Tutorial.

What you have learned so far. Interoperability. Ontology heterogeneity. Being serious about the semantic web

Transcription:

24Am Smart Open Services for European Patients Open ehealth initiative for a European large scale pilot of Patient Summary and Electronic Prescription Work Package 3.5 Semantic Services Definition Appendix E - Ontology Specifications D3.5.2 February 23 rd, 2010 Document Version: 0.3 WORK PACKAGE WP 3.5 DOCUMENT VERSION 0.3 DATE 23/02/2010

Table of contents Appendix E - Ontology... 3 1. General Description... 3 1.1. The Translation Process using Ontologies... 4 2. epsos Ontology... 4 3. Technical Details... 4 4. State of the Implementation... 4 5. Development Strategy... 5 5.1. Upper Ontology... 5 5.2. Translation... 5 5.3. Transcoding... 5 5.4. Multiple Inheritance... 5 6. Semantic Representation in the epsos Ontology... 5 7. Consistency Check... 6 8. Viewing the epsos Ontology... 6 8.1. Database Representation... 7 9. Demonstrator... 7 9.1. Aim... 7 9.2. Functionality... 7 9.3. Elements... 7 D.3.5.2_Appendix_E_Ontology_v0.3_20100223.doc Page 2 of 9

Appendix E - Ontology 5 10 15 20 25 30 35 40 45 1. General Description The knowledge maintained in ontologies requires some kind of representation. The classes, their attributes, the instances and all relationships can be stored in different ways: relational databases, CVS tables, simple XML files or semantic web technologies, namly Web Ontology Language (OWL) to name a few. As long as all the necessary expressivity and level of logical coherence are covered they can be treated equally. In the starting phase of a project, especially as long as the amount of concepts is quite limited, the use of sophisticated and established tools helps to accelerate the foundational definition of the ontology itself. Therefore, no time is wasted in developing an interface (GUI) to enter and maintain the core concepts. The biggest advantage of OWL coded ontologies against ones represented in relational databases is that an ontology represented in a database should have a fixed structure, while OWL allows ontology development in a distributed way. We hold that this means that an OWL file will provide greater flexibility of a sort that will be a pre-requisite to the evolution of the terminology at hand. Furthermore, providing an OWL file presents a strategy to foster future use and future development of the components provided by epsos since OWL is a W3C (Semantic Web) standard, where technologies based on structure upfront approaches are not seen as fit for Semantic Web computing. We stress that in developing OWL file we are working in OWL DL, which is one of the major upcoming standards in the semantic web community. OWL DL was designed to provide the maximum expressiveness possible while retaining computational completeness, decidability and the availability of practical reasoning algorithms., Nevertheless, we do not deny that relational databases can be useful to achieve goals within epsos. Moreover, in Terminology Access Services we assume that for on-the-fly translation, transformation of ontology into relational database will be used. We stress the point that the fact that Subgroup B WP 3.5 provides an OWL coded version of the ontology should not prevent anybody from transferring the OWL file into an SQL database for query or other purposes. One strategy to convert an OWL file into an SQL database is described in the paper by Astrova et al. The epsos Ontology will be built using the Protégé Ontology Editor. We suggest viewing the ontology for information and review purposes using the same tool. Inference will be checked using the Pellet 2.0 Reasoner. In order to foster harmonization and re-use a well-tested structure for ontologies for the medical arena we will use an Upper Ontology. For epsos we will use Basic Formal Ontology (BFO). We foresee the necessity to provide a user-friendly perspective on the ontology which we will provide in time, after initial development of the OWL file is done. The prototype will allow evaluating OWL in term of suitability (possibility to describe the required knowledge) and scalability (including performance when the terminology will increase its complexity and completeness). D.3.5.2_Appendix_E_Ontology_v0.3_20100223.doc Page 3 of 9

50 1.1. The Translation Process using Ontologies A general description of the translation process using ontologies can be seen in Figure 1, below language 1 language 2 code system (country B) (Language 2) mapping translation of more generic concept in a code ontology equivalent mapping equivalent translation of more generic concept (Language 1) code system (country A) direct translation (Language 2) exact translation of same concept 55 60 65 70 75 Figure 1 The translation process based on ontologies. 2. epsos Ontology The epsos Ontology can be downloaded from Project Place using the following URL link: https://service.projectplace.com/pp/pp.cgi/r425028300. 3. Technical Details The epsos ontology is created in OWL-DL i. Further technical details (e.g. the number of classes and object properties) are contained in the OWL file that can be downloaded (s. Section 2) It was created using the Protégé ontology editor ii. Instructions on how to download Protégé in order to view the OWL file is given in section 7 of the Appendix. A more detailed description of the role of the epsos Ontology and its technical details can be found in the body of this deliverable. 4. State of the Implementation The state of implementation of the ontology is the result of all development in Work Package 3.5 until the presentation of this deliverable. However, the ontology ought not be seen as a static artifact, but as an evolving entity that will expand and alter in accordance with its basic outline and strategy as given in Section 4 of Appendix D. D.3.5.2_Appendix_E_Ontology_v0.3_20100223.doc Page 4 of 9

80 Due to the state of development of the value set catalogue and licensing issues on coding schemata certain aspect are not integrated in this version of the ontology, but development will progress on this artifact. 85 90 5. Development Strategy 5.1. Upper Ontology The epsos ontology is based on an Upper Ontology to ensure coherence of representation and facilitate harmonization with existing ontologies. IEEE s Standard Upper Ontology Working Group provides a quick intro into the beneficial effects of using Upper Ontologies iii. The Upper Ontologies chosen as the foundation of the epsos Ontology is Basic Formal Ontology (BFO). Not only does the epsos Ontology import BFO as starting point for the representation, but the epsos Ontology is built in accordance to the basic principles and strategies of BFO. More detail on these can be found in the BFO documentation iv. 95 5.2. Translation The translations of the relevant terms, as defined by the Master Value Set Catalogue, are given in rdf labels and annotated with an language code, according to ISO 639-1. All names in the ontology (class names, object property names) are in English and given in accordance with the recommendations in the Protégé manual v. 100 105 110 5.3. Transcoding Within the epsos Ontology classes (and their labels) will not be matched with codes using annotations, but using an object property. The ontology contains the following two object properties for this purpose: iscodeof hascode The first one matches any subclass of a specific medical code system (the specific medical code) to any other class in the ontology, depending on what the code stands for. The latter matches any medically relevant class to the specified code. All code systems and all codes are subclasses to InformationObject in the epsos ontology. The individual codes have to be related to a Code System Version. 115 120 5.4. Multiple Inheritance In the epsos Ontology multiple inheritances are forbidden for primitive classes. Primitive classes are those, which are not defined by specifying necessary conditions for class membership in the equivalent class section in Protégé. 6. Semantic Representation in the epsos Ontology The epsos Ontology is dealing with a number of mostly flat lists or hierarchies of medical or medical-relevant terms. The aim is to provide one joint system of semantic reference that can bridge the gap between the different underlying semantics of the term lists and vocabularies. D.3.5.2_Appendix_E_Ontology_v0.3_20100223.doc Page 5 of 9

125 130 135 140 145 150 Thus, one of the most important focuses is to provide formal definitions for classes. The start of this enterprise can be clearly seen in the epsos ontology. However, in the first step the focus lay on adding all relevant classes to the taxonomy providing the basis for the ontology. A number of formal definitions have been implemented, both necessary and contingent. In the effort of building the ontology we have tried to provide a full definition of routes, dose forms and containers using necessary condition, yet this task had to be abandoned due to a tremendous increase of reasoning time running consistency checks over the ontology. 7. Consistency Check The consistency of the epsos ontology was checked using the Pellet reasoner vi. 8. Viewing the epsos Ontology If you want to view the ontology, getting the taxonomy displayed and see all annotations and definitions in an easy to grasp way, we recommend you download the Protégé ontology editor. Do that as follows: 1. Go to: http://protege.stanford.edu/download/download.html 2. If you are a registered user proceed to the download page, if not please register. 3. Once you registered go to the download page and follow the instructions. Make sure to download the newest version of the program. The file can also be found on Project Place at the following link: http://protege.stanford.edu/download/download.html. Open the above OWL File (epsosonto1.9.owl - this file is an evolving entity and it is subject to change as the experience from testing and implementation will bring forth adjustments) containing the epsos Ontology using the downloaded program. Make sure to be connected to the internet, when you open the file, since the epsos Ontology uses BFO as a direct import from the web. D.3.5.2_Appendix_E_Ontology_v0.3_20100223.doc Page 6 of 9

155 8.1. Database Representation The following figure shows a database representation and conversion. Top-Down Bottom-Up ICD-10 Protege ATC OWL XSLT Ontology Mapping LOINC pivot concepts SNOMED CT 160 165 170 175 Figure 2 Database conversion. 9. Demonstrator 9.1. Aim The aim of the demonstrator is to proof that medical information can be transmitted from one language/coding schema to another in a medical useful way (human and machine understandable). The demonstrator offers a strategy for seamless communication of medical content over borders.. 9.2. Functionality The demonstrator will translate a medical term/code from one language/coding scheme to another one. For example, if two languages are used such as German and Spanish, the English language will be used as pivot language in order to provide a correspondence between the two. 9.3. Elements An owl implementation of the terminology The owl file is used to populate the mapping table/database. The owl file is a means to guarantee future evolution of the terminology in size and the possibility to enable further use of the data beyond the epsos scope. D.3.5.2_Appendix_E_Ontology_v0.3_20100223.doc Page 7 of 9

180 Mapping table/database This is the terminological basis that is read by the service and will provide the information wanted by the user. The mapping table is provided in a way that it is populated in automatic fashion from the owl file. 185 Application An application will be provided that checks the information of equivalent terms/coding according to the query from the Mapping table/database. 190 195 User interface The initial user interface will consist of four elements: Input box which enables the user to enter a medical code Output box which will display the translation result Dropdown menu for source language Dropdown menu for target language Dropdown menu for the used code system The following screenshot shows all described components: Figure 2 The user interface of the demonstrator Use case description: D.3.5.2_Appendix_E_Ontology_v0.3_20100223.doc Page 8 of 9

200 205 210 The user starts the application. At initialization time, the application connects to the translation service. If the connection is successful, then a message is displayed in the status bar confirming that the service is available. The user then selects a coding system and a source language and enters a valid code of that coding system. When changing the focus of the code text box the display name of the code is filled in. By selecting a target language and clicking the Translate button the user receives the translation of the display name in the textbox. Exceptions: if the user does not select the elements needed for translation or does not enter a code or the code is invalid for the selected source vocabulary then error messages are displayed in the text-boxes. 1 http://www.w3.org/tr/owl-semantics 2 http://protege.stanford.edu 3 http://suo.ieee.org 4 http://www.ifomis.org/bfo v5 http://www.co-ode.org/resources/tutorials/protegeowltutorial-p4.0.pdf 6 http://clarkparsia.com/pellet D.3.5.2_Appendix_E_Ontology_v0.3_20100223.doc Page 9 of 9