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Jose María Alvarez-Rodríguez, Anabel Fraga, Jose Miguel Fuentes and Juan Llorens

The aim of this poster is to show the current work to

expose existing functionality in The Reuse Company

Inc. tools as OSLC-based services. More specifically

part of the functionality of the Requirements Authoring

Tool (RAT), the Requirements Quality Analyzer

(RQA) and the knowledgeMANAGER (KM) is now

available through an RDF-based interface and the HTTP

protocols following the principles of the OSLC initiative.

Furthermore knowledge-centric cross-cutting services

are now being studied and developed to support and ease

some tasks regarding the management of the different

OSLC resources and to empower the new concept of

Continuous and Collaborative Engineering. Thus, the

envision covers:

• A standard naming service.

• A quality checker for any kind of resource (e.g.

Requirements or Models).

• A generic semantic-based indexing and retrieval

system using a text-based interface.

• A traceability link discovery service to reconcile and

map resources.

INTRODUCTION

OBJECTIVES

“A service to standardize names across the

different states and processes of the lifecycle.”

• Expose terms, relationships, etc. as a SKOS-

based vocabulary through an OSLC interface.

• Adapter on top of the knowledgeManager

Tool.

Semantic Indexing and

Retrieval System

The Hive of Interoperable Knowledge OUTCOMES AND ON-GOING WORK

Currently we are involved in the improvement and development

of new OSLC-based services to empower the concept of

Continuous Engineering by applying a Knowledge-Centric

approach. Main outcomes and on-going work can be summarized

as follows:

• Services for naming and quality checking through an

OSLC interface are already available on top of the tools

provided by The Reuse Company Inc.

• A prototype has been implemented to deploy services in the

IBM Jazz platform and to publish RDF data in the Apache

Marmotta Linked Data platform.

• The semantic indexing and retrieval systems through OSLC

is being now implemented.

• Knowledge organization through breakdown structures is

available in the knowledgeMANAGER tool and can be

exported as SKOS/RDF.

• A quality index for models and graph-based structures is

being designed and implemented using R and the igraph and

SVM libraries.

• Analysis of social development environments using

complex networks techniques are being designed and

implemented. Naïve examples are already available.

• A Knowledge Management specification for OSLC is being

written.

• … CONCLUSIONS AND FUTURE WORK

The emerging concept of Continuous Engineering is gaining

momentum in the development of safety critical systems. OSLC-

based services are also considered the cornerstone to enable a

fully interoperable environment allowing the collaboration

between different parties. In this context, some cross-cutting

services have been identified to boost this new approach for

developing systems with special focus on knowledge

management and re-use of information through natural

language interfaces. Future research and innovation lines must

cover the publishing of all type of data, information and

knowledge through OSLC interfaces. Furthermore the OSLC

support in The Reuse Company Tools Inc. is now being

implemented to support knowledge-centric systems

engineering (KCSE). Finally the analysis of the development of

a critical system as a collaborative activity is being designed

and implemented to find new hidden relationships and

knowledge through the interactions among people, products and

processes.

ACKNOWLEDGEMENTS

The research leading to these results has

received funding from the ARTEMIS Joint

Undertaking under grant agreement Nº 332830-

CRYSTAL (CRitical sYSTem engineering AcceLeration project) and from specific

national programs and/or funding authorities.

This work has been supported by the Spanish

Ministry of Industry.

According to the previous introduction the following

specific objectives have been gathered:

• Study and analyze the necessities of knowledge

management in complex systems development.

• Design of the proper specifications, components and

OSLC-based interfaces to support KCSE

( Knowledge-Centric Systems Engineering).

• Implementation of OSLC-based services to ease and re-

use data, information and meta-information

generated during the development lifecycle using text-

based interface (cross-cutting services).

• Encompass existing OSLC specifications and services

using a knowledge-based approach.

• Re-use of RDF-based vocabularies and Linked Data.

• Expose, “as OSLC”, the main services of the

aforementioned tools & technology by the Reuse

Company Inc. to build data-driven applications.

• Create awareness of collaborative engineering through

the validation, experimentation and dissemination of

results.

An OSLC-based approach to empower Continuous Engineering

through knowledge-centric cross-cutting services.

Carlos III University of Madrid and The Reuse Company Ltd.

3rd European Conference on Interoperability for

Embedded Systems Development Environments

October, Thu. 9th 2014 . Paris, France

Naming Service Quality Checker

“A service to calculate quality metrics of any kind

of resource.”

• .Expose metrics, values, etc. using the RDF

Data Cube Vocabulary through an OSLC

interface.

• Adapter on top of the Requirements Quality

Analyzer (+30 requirements quality metrics).

“A service to index and retrieve any kind of

content using a natural language interface.”

• Use of the RSHP model to semantically

represent information.

• Graph-based structures.

Traceability and

Link discovery

“A service to discover and link requirements to

other artifacts.”

• Use of the semantic indexing and retrieval

system to create mappings.

• Entity reconciliation techniques: keyword,

natural language and

structure-based.

Collaboration

Continuous

Engineering

Re-use

Knowledge-Centric

Systems Engineering

“A service to organize and manage knowledge.”

• Terminology Layer (Vocabulary)

• Thesaurus Layer (System conceptual knowledge)

• Typology Layer (Clustering information, Typologies)

• Formalization Layer (Formalization information)

• Inference Rules Layer

Organize knowledge through

breakdown structures

“Represent and compute Product/Functional/Work/etc.

breakdown structures.”

• Compute dynamic values (bottom-up approach).

• Use of SKOS and the RDF Data Cube

vocabularies

Complex networks and

social environment

“Analysis of collaborative

development environments.”

• Multilayer

• Multimodal

• Information fusion

E.g. Github

“From quantitative graph

metrics (+50) to quality

measures.

• R: igraph + SVM

This work is a joint effort between the Knowledge Reuse research group within the Carlos III University of Madrid and The Reuse Company Inc.

{jmalvarez,afraga,llorens}@kr.inf.uc3m.es and jose.fuentes@reusecompany.com

UGL (Universal Generic Language)