Muhammad Fahad

Université Lumiere Lyon 2 | UL2 · CERRAL - Centre d’Etudes, de Recherche et de Recherche-Action Lumière

Now-a-days advances in mobile device technology aim to build complex computational systems providing a maximum level of flexibility, decentralization, simplest form of interactivity, and ease of use. Recently, the launch of the agent-oriented platform JaCaMo and its Android client based platform JaCa-Android have provided an appropriate level of ab...

In recent years, researchers have been developing algorithms for the automatic mapping and merging of ontologies to meet the demands of interoperability between heterogeneous and distributed information systems. But, still state-of-the-art ontology mapping and merging systems is semi-automatic that reduces the burden of manual creation and maintena...

The massive growth in ontology development has opened new research challenges such as ontology management, search and retrieval for the entire semantic web community. These results in many recent developments, like Onto Khoj, Swoogle, OntoSearch2, that facilitate tasks user have to perform. These semantic web portals mainly treat ontologies as plai...

The last decade has seen researchers developing efficient algorithms for the mapping and merging of ontologies to meet the demands of interoperability between heterogeneous and distributed information systems. But, still state-of-the-art ontology mapping and merging systems is semi-automatic that reduces the burden of manual creation and maintenanc...

Manually checking models for compliance against building regulation is a time-consuming task for architects and construction engineers. There is thus a need for algorithms that process information from construction projects and report non-compliant elements. Still automated code-compliance checking raises several obstacles. Building regulations are...

Manually checking models for compliance against building regulation is a time-consuming task for architects and construction engineers. There is thus a need for algorithms that process information from construction projects and report non-compliant elements. Still automated code-compliance checking raises several obstacles. Building regulations are...

Recently, attention has focused on the software development, specially by differ-ent teams that are geographically distant to support collaborative work. Manage-ment, description and modeling in such collaborative approach are through sever-al tools and techniques based on UML models. It is now supported by a large number of tools. Most of these sy...

In recent years, the question on Automatic Ontology Merging (AOM) become challenging to address for the researchers. Our research and development for the Disjoint Knowledge Perservation based Automatic Ontology Merging (DKP-AOM) is a milestone in the same direction. This paper provides a more specific discussion about disjoint knowledge axioms in D...

The semantic web progress gave rise to a growing number of ontologies in various fields. In order to allow knowledge reuse, ontology matching is an interesting option. In this paper, we propose an ontology matching system that performs class, property and instance matching. This latter is usually achieved by means of Natural Language Processing (NL...

Nowadays, it is a hot challenge to address automatic verification requirements to warn the non-conformities with the associated 3D visualization, or to provide access to the technical documentation for a given digital model based on its sophisticated contextual information. In this paper, we contribute a framework for mapping certification rules ov...

In the last decade, ontology matching and mapping research has shown a measurable progress. This topic draws substantial attention within the research community, though it is not fully researched so far and new complex and effective solutions are needed. Current works are limited in finding alignments or mappings between concepts of heterogeneous o...

The safeguarding of cultural heritage has brought forward the generation of heterogeneous, complex, diversified and irreplaceable digital data. It becomes difficult for an object with missing characteristics to perform the premises identification, object identification as well as its movement recording. Therefore, it is an imperative need of tracea...

Maturity models help organizations to measure the quality of their processes. These models are able to indicate how excellent business processes (BP) can perform and how organizations can reach the expected and higher performance. Maturity models aim at assessing and improving the capabilities, i.e., skills or competences, of business processes. Ho...

Service composition networks are becoming increasingly important and more critical for the enterprise collaborations. The sustainability of service based systems is driven with the support of performance metrics analysis for decision making. Some of the existing works only focused performance at messaging level. Ontology based performance monitorin...

Service composition networks are becoming increasingly important and more critical for the enterprise collaborations. The sustainability of service based systems is driven with the support of performance metrics analysis for decision making. Some of the existing works only focused performance at messaging level. Ontology based performance monitorin...

Change management for evolving collaborative business process development is crucial when the business logic, transections and workflow change due to changes in business strategies or organizational and technical environment. During the change implementation, business processes are analyzed and improved ensuring that they capture the proposed chang...

Service composition networks are becoming increasingly important and more critical for the enterprise collaborations. The sustainability of service based systems is driven with the support of performance metrics analysis for decision making. Some of the existing works only focused performance at messaging level. Ontology based performance monitorin...

The semantic web progress gave rise to a growing number of ontologies in various fields. In order to allow knowledge reuse, ontology matching is an interesting option. In this paper, we propose an ontology matching system that performs class, property and instance matching. This latter is usually achieved by means of Natural Language Processing (NL...

To be competitive and flexible, companies engage in collaborations to develop and share their competences in order to cope with the dynamic environment. Collaborative business process evaluation helps to reflect the actual functioning of business process and their performance level. In this perspective, research in assessing collaborative business...

In this paper, we present the results obtained by our DKP-AOM system within the OAEI 2015 campaign. DKP-AOM is an ontology merging tool designed to merge heterogeneous ontologies. In OAEI, we have participated with its ontology mapping component which serves as a basic module capable of matching large scale ontologies before their merging. This is...

Dynamic execution of a business process requires the selection and composition of multiple existing services regardless of their locations, platforms, execution speeds, etc. Thus web service selection appears as a challenging and elusive task especially when the service task has to be executed based on user requirements at the runtime. This paper p...

Virtual Communities (VC) are synergetic digital spaces to build collaborations and exchange knowledge between people sharing similar interests or goals. They respond to human needs such as information sharing, friendship, and recreation. In this paper, we present a VC Management System, based on a Multi-Agent Oriented Programming (MAOP) approach. U...

Inkjet printing (jetting) technology, due to its high speed of operation and accuracy, is utilised in Additive Manufacturing (AM) of three dimensional parts. Commercially available AM processes that use jetting technology include three dimensional printing (3DP by Z-Corporation), Polyjet (by Objet), Multi Jet Modelling (MJM by 3D Systems) and three...

One of the core challenges for current landscape of ontology based research is to develop efficient ontology merging algorithms which can resolve the mismatches with no or minimum human intervention, and generate automatic global merged ontology on-the-fly to fulfil the needs of automated enterprise business applications and mediation based data wa...

Ontology mapping and merging systems play a vital role that aim at promoting automatic interoperability among different heterogeneous systems, agents, web services or groups in open environments such as Semantic Web. These systems help ontologists to resolve different types of conflicts among local ontologies to produce global merged ontology. This...

Semantic web provides virtual communities that enable intelligent interaction between software agents and people due to availability of standard open ontologies. But, as the semantic web is gaining much popularity, there is a massive growth seen in the ontology development which poses new research challenges such as ontology classification, ranking...

One of the core tasks of mapping and merging of multiple ontologies is to produce accurate, consistent and coherent merged global ontology that promotes interoperability among heterogeneous multi-vendors semantic-based systems. Current systems for ontology mapping and merging are very restricted in terms of resolving mismatches or proposing accurat...

Regression testing is the process of ensuring software quality by analyzing whether changed parts behave as intended, and unchanged parts are not affected by the modifications. Since it is a costly process, a lot of techniques are proposed in the research literature that suggest testers how to build regression test suite from existing test suite wi...

Ontology driven architecture has revolutionized the inference system by allowing interoperability and efficient reasoning between heterogeneous multi-vendors systems. Sound reasoning support is highly important for sound semantic web ontologies which can only be possible if state-of-the-art Description Logic Reasoners were capable enough to identif...

Ontology is the fundamental part of Semantic Web. The goal of W3C is to bring the web into (its full potential) a semantic web with reusing previous systems and artifacts. Most legacy systems have been documented in structural analysis and structured design (SASD), especially in simple or Extended ER Diagram (ERD). Such systems need up-gradation to...

Ontology, as the means for conceptualizing and structuring domain knowledge, has become the backbone to enable the fulfillment of the Semantic Web vision. But as the number of different online ontologies is growing significantly, the problem of managing semantic heterogeneity is increasingly seen. This semantic heterogeneity originates as a mismatc...

Ontology evaluation is one of the most important phases of ontology engineering. Researchers have identified different types of errors that should be catered in ontology evaluation process for fulfillment of the semantic Web vision and classified them in error's taxonomy. We have found that some important errors are missing in the error's taxonomy....

Ontology evaluation is one of the most important phases of ontology engineering. Researchers have identified different types of errors that should be catered in ontology evaluation process and classified them in error's taxonomy. Semantic Inconsistency errors are the most common when modeling complex taxonomic knowledge while building semantic clas...

CORBA is an OMG standard for distributed object computing; but despite being a standard and wide scale acceptance in the industry it lacks the ability to meet high demands of quality of service (QoS) required for building a reliable fault tolerant distributed system. To tackle these issues, in 2001, OMG incorporated fault tolerance mechanisms, QoS...

Ontology evaluation is as important as its designing and application. Researchers have identified different errors which should be catered in ontology evaluation process and classified them in error’s taxonomy. We have found that some important errors are missing in the error’s taxonomy. We have identified and defined new errors i.e. sufficient kno...

Accurate mapping and merging of multiple ontologies to produce consistent and coherent merged global ontology is a very important process to enable heterogeneous multi-vendors semantic-based systems to communicate and understand each other. Current systems for ontology mapping and merging are very restricted in term of resolving mismatches or propo...