Driven by the ever-growing of data from social network (SN), data warehouse (DW) approaches must ... more Driven by the ever-growing of data from social network (SN), data warehouse (DW) approaches must be adapted. Generally the star, snowflake or constellation models are used as logical ones. All these models are inadequate when dealing with social data which need scalable and flexible systems. As an alternative, NoSQL systems begin to grow. In the absence of a clear approach which allows the implementation of data warehouse under NoSQL model, we propose in this paper, new rules for transforming a multidimensional conceptual model into two NoSQL ones: column-oriented and documentoriented models. For each model, we distinguish two types of transformation: simple and hierarchical. To validate our transformation rules, we implemented four data warehouses using Cassandra as a column-oriented NoSQL system and MongoDB as document-oriented NoSQL system. These systems were implemented using java routines in Talend Data Integration tool and evaluated in terms of "Write Request Latency" and "Read request Latency" using TPC-DS benchmark.
Many solutions were proposed to store and load a large amount of semantic data which are generate... more Many solutions were proposed to store and load a large amount of semantic data which are generated from ontologies. These solutions have introduced a new database architecture called Ontology Based DataBases (OBDBs) which presents several drawbacks : it does not take into account the management of non-standard data, it does not consider the modeling of time for data, and it does not propose a specification and modeling of transactions. Based on these limits, the existed OBDBs architecture is not suitable for real-time applications. The real-time ontology, which is the result of temporal constraints integration on real-time context, has been introduced. In this paper, we propose the integration of a real-time ontology on databases. Currently, many real-time applications are geographically distributed, in this case, the distributed real-time DBMS are the best appropriate to be a suitable target for this integration. The performance study of integrating a real-time ontology on distributed real-time DBMS require the use of quality of service (QoS) based architectures which the feedback control scheduling technique is the best case. In this order, the Distributed Feedback Control Scheduling Architecture for Real-Time Ontology (DFCSA-RTO) is proposed.
To contribute to the promotion of concurrency controllers for temporal databases, we propose in t... more To contribute to the promotion of concurrency controllers for temporal databases, we propose in this paper to formally check the access concurrency control algorithm proposed using SPIN. This algorithm is based on the optimistic approach and must guarantee strong consistency for transaction time relations. SPIN provides a software model checking with a powerful tool to detect errors. It is an
A light reflector, preferably for at least three different color light sources, used in a cluster... more A light reflector, preferably for at least three different color light sources, used in a cluster arrangement, which beams the rays of the input light sources to the target or area destined for illumination in closely adjacent and parallel relation, so that the visually perceived color of the light beam is a function of the mixture of the input light source, and can be readily varied over a wide range by varying the intensity and amounts of the individual light inputs.
We propose in this paper to formally check the access concurrency control algorithm proposed in (... more We propose in this paper to formally check the access concurrency control algorithm proposed in (Bouaziz, 2005). This algorithm is based on the optimistic approach and guarantees strong consistency for the transaction time relations. The specification of our model under PROMELA language allowed us to ensure the feasibility of the validation. We then could, using the SPIN model checkers, avoid errors of blocking type and check safety properties specified by temporal logic formulas.
Language modeling approach plays an important role in many areas of natural language processing i... more Language modeling approach plays an important role in many areas of natural language processing including speech recognition, machine translation, and information retrieval. In this paper, we propose a contribution for conceptual indexing of medical articles by using the MeSH (Medical Subject Headings) thesaurus, then we propose a tool for indexing medical articles called SIMA (System of Indexing Medical Articles) which uses a language model to extract the MeSH descriptors representing the document. To assess the relevance of a document to a MeSH descriptor, we estimate the probability that the MeSH descriptor would have been generated by language model of this document.
This paper proposes an automatic method using a MeSH (Medical Subject Headings) thesaurus for gen... more This paper proposes an automatic method using a MeSH (Medical Subject Headings) thesaurus for generating a semantic annotation of medical articles. First, our approach uses NLP (Natural Language Processing) techniques to extract the indexing terms. Second, it ...
Designed as semantic structures to support the sharing and reuse of geographic data, spatial onto... more Designed as semantic structures to support the sharing and reuse of geographic data, spatial ontologies have recently gained attention within the geo-information community. Geographic ontologies are designed to provide a common understanding of the structure of geographic models, and to support the development of geographic information systems that are conceptually complex. This paper proposes an approach for merging spatial ontologies based on three complementary modules: matching, mapping and merging. A Spatial Ontologies Integration Tool (SOIT) is also developed and applied to the road domain.
In the medical field, scientific articles represent a very important source of knowledge for rese... more In the medical field, scientific articles represent a very important source of knowledge for researchers of this domain. But due to the large volume of scientific articles published on the web, an efficient detection and use of this knowledge is quite a difficult task. In this paper, we propose our contribution for conceptual indexing of medical articles by using the MeSH (Medical Subject Headings) thesaurus. With this in mind, we propose a tool for indexing medical articles called BIOINSY (BIOmedical Indexing SYstem) which uses a language model for selecting the best representative descriptors for each document. The proposed indexing approach was evaluated by intensive experiments. These experiments were conducted on document test collections of real world clinical extracted from scientific collections, namely PUBMED and CLEF. The results generated by these experiments demonstrate the effectiveness of our indexing approach.
Ontology matching can be defined as the process of defining a set of functions for specifying cor... more Ontology matching can be defined as the process of defining a set of functions for specifying correspondences between candidate concepts in order to discover similarities between two ontologies; it can be processed by exploiting a number of different techniques. In this paper, we present an approach of merging spatial ontologies which consists of three processes: "matching process", "mapping process" and "merging process" and we focus on the matching process. Indeed we consider three kind of matching: semantic matching, topologic matching and geometric matching. For each type of matching, we formally define functions for specifying correspondences between candidate concepts.
Enterprise Information System (EIS) must cover the interoperability criterion between its busines... more Enterprise Information System (EIS) must cover the interoperability criterion between its business and technical infrastructures. Nevertheless, the "vertical fit" problems, which has deduced from the business infrastructure handicap the exploitation of this criterion. To overcome this failure, we propose in this paper our solutions to reduce the gap between business and technical infrastructures of an EIS. Particularly, we describe our approach in three main phases: Business, Middle and Technical views, in order to cover the interoperability criterion between these infrastructures. We apply our contributions to storage bid-requests in the Big Data of the Bid Process Information System (BPIS).
In the medical field, scientific articles represent a very important source of knowledge for rese... more In the medical field, scientific articles represent a very important source of knowledge for researchers of this domain. But due to the large volume of scientific articles published on the web, an efficient detection and use of this knowledge is quite a difficult task. In this paper, ...
this work deals with Workflow Mining (WM) a very active and promising research area. First, in th... more this work deals with Workflow Mining (WM) a very active and promising research area. First, in this paper we precise the main uses cases of WM, and then we present a critical and comparative study of three representative WM systems of this area: the ProM, InWolve and WorkflowMiner systems. The comparison is made according to quality criteria that we have proposed such as the capacity to filter and convert a Workflow log, the capacity to discover workflow models and the capacity to support Multi-Analysis of processes. One of the most components specific to these systems is the Workflow log which is the basis for any WM system. This paper also compares their workflow log models by considering five requirements (Usability, Refer to the three workflow models, Simplicity, EventStream and TimeStamp). Finally, we summarize this study and we explain how Multi-Agent Systems (MASs) approach to cope with organizational model discovering issue. In our work, we mean by organizational model, the organizational structures (federation, coalition, team, etc.) and the interaction protocols (contract net, auction, vote, etc.).
Driven by the ever-growing of data from social network (SN), data warehouse (DW) approaches must ... more Driven by the ever-growing of data from social network (SN), data warehouse (DW) approaches must be adapted. Generally the star, snowflake or constellation models are used as logical ones. All these models are inadequate when dealing with social data which need scalable and flexible systems. As an alternative, NoSQL systems begin to grow. In the absence of a clear approach which allows the implementation of data warehouse under NoSQL model, we propose in this paper, new rules for transforming a multidimensional conceptual model into two NoSQL ones: column-oriented and documentoriented models. For each model, we distinguish two types of transformation: simple and hierarchical. To validate our transformation rules, we implemented four data warehouses using Cassandra as a column-oriented NoSQL system and MongoDB as document-oriented NoSQL system. These systems were implemented using java routines in Talend Data Integration tool and evaluated in terms of "Write Request Latency" and "Read request Latency" using TPC-DS benchmark.
Many solutions were proposed to store and load a large amount of semantic data which are generate... more Many solutions were proposed to store and load a large amount of semantic data which are generated from ontologies. These solutions have introduced a new database architecture called Ontology Based DataBases (OBDBs) which presents several drawbacks : it does not take into account the management of non-standard data, it does not consider the modeling of time for data, and it does not propose a specification and modeling of transactions. Based on these limits, the existed OBDBs architecture is not suitable for real-time applications. The real-time ontology, which is the result of temporal constraints integration on real-time context, has been introduced. In this paper, we propose the integration of a real-time ontology on databases. Currently, many real-time applications are geographically distributed, in this case, the distributed real-time DBMS are the best appropriate to be a suitable target for this integration. The performance study of integrating a real-time ontology on distributed real-time DBMS require the use of quality of service (QoS) based architectures which the feedback control scheduling technique is the best case. In this order, the Distributed Feedback Control Scheduling Architecture for Real-Time Ontology (DFCSA-RTO) is proposed.
To contribute to the promotion of concurrency controllers for temporal databases, we propose in t... more To contribute to the promotion of concurrency controllers for temporal databases, we propose in this paper to formally check the access concurrency control algorithm proposed using SPIN. This algorithm is based on the optimistic approach and must guarantee strong consistency for transaction time relations. SPIN provides a software model checking with a powerful tool to detect errors. It is an
A light reflector, preferably for at least three different color light sources, used in a cluster... more A light reflector, preferably for at least three different color light sources, used in a cluster arrangement, which beams the rays of the input light sources to the target or area destined for illumination in closely adjacent and parallel relation, so that the visually perceived color of the light beam is a function of the mixture of the input light source, and can be readily varied over a wide range by varying the intensity and amounts of the individual light inputs.
We propose in this paper to formally check the access concurrency control algorithm proposed in (... more We propose in this paper to formally check the access concurrency control algorithm proposed in (Bouaziz, 2005). This algorithm is based on the optimistic approach and guarantees strong consistency for the transaction time relations. The specification of our model under PROMELA language allowed us to ensure the feasibility of the validation. We then could, using the SPIN model checkers, avoid errors of blocking type and check safety properties specified by temporal logic formulas.
Language modeling approach plays an important role in many areas of natural language processing i... more Language modeling approach plays an important role in many areas of natural language processing including speech recognition, machine translation, and information retrieval. In this paper, we propose a contribution for conceptual indexing of medical articles by using the MeSH (Medical Subject Headings) thesaurus, then we propose a tool for indexing medical articles called SIMA (System of Indexing Medical Articles) which uses a language model to extract the MeSH descriptors representing the document. To assess the relevance of a document to a MeSH descriptor, we estimate the probability that the MeSH descriptor would have been generated by language model of this document.
This paper proposes an automatic method using a MeSH (Medical Subject Headings) thesaurus for gen... more This paper proposes an automatic method using a MeSH (Medical Subject Headings) thesaurus for generating a semantic annotation of medical articles. First, our approach uses NLP (Natural Language Processing) techniques to extract the indexing terms. Second, it ...
Designed as semantic structures to support the sharing and reuse of geographic data, spatial onto... more Designed as semantic structures to support the sharing and reuse of geographic data, spatial ontologies have recently gained attention within the geo-information community. Geographic ontologies are designed to provide a common understanding of the structure of geographic models, and to support the development of geographic information systems that are conceptually complex. This paper proposes an approach for merging spatial ontologies based on three complementary modules: matching, mapping and merging. A Spatial Ontologies Integration Tool (SOIT) is also developed and applied to the road domain.
In the medical field, scientific articles represent a very important source of knowledge for rese... more In the medical field, scientific articles represent a very important source of knowledge for researchers of this domain. But due to the large volume of scientific articles published on the web, an efficient detection and use of this knowledge is quite a difficult task. In this paper, we propose our contribution for conceptual indexing of medical articles by using the MeSH (Medical Subject Headings) thesaurus. With this in mind, we propose a tool for indexing medical articles called BIOINSY (BIOmedical Indexing SYstem) which uses a language model for selecting the best representative descriptors for each document. The proposed indexing approach was evaluated by intensive experiments. These experiments were conducted on document test collections of real world clinical extracted from scientific collections, namely PUBMED and CLEF. The results generated by these experiments demonstrate the effectiveness of our indexing approach.
Ontology matching can be defined as the process of defining a set of functions for specifying cor... more Ontology matching can be defined as the process of defining a set of functions for specifying correspondences between candidate concepts in order to discover similarities between two ontologies; it can be processed by exploiting a number of different techniques. In this paper, we present an approach of merging spatial ontologies which consists of three processes: "matching process", "mapping process" and "merging process" and we focus on the matching process. Indeed we consider three kind of matching: semantic matching, topologic matching and geometric matching. For each type of matching, we formally define functions for specifying correspondences between candidate concepts.
Enterprise Information System (EIS) must cover the interoperability criterion between its busines... more Enterprise Information System (EIS) must cover the interoperability criterion between its business and technical infrastructures. Nevertheless, the "vertical fit" problems, which has deduced from the business infrastructure handicap the exploitation of this criterion. To overcome this failure, we propose in this paper our solutions to reduce the gap between business and technical infrastructures of an EIS. Particularly, we describe our approach in three main phases: Business, Middle and Technical views, in order to cover the interoperability criterion between these infrastructures. We apply our contributions to storage bid-requests in the Big Data of the Bid Process Information System (BPIS).
In the medical field, scientific articles represent a very important source of knowledge for rese... more In the medical field, scientific articles represent a very important source of knowledge for researchers of this domain. But due to the large volume of scientific articles published on the web, an efficient detection and use of this knowledge is quite a difficult task. In this paper, ...
this work deals with Workflow Mining (WM) a very active and promising research area. First, in th... more this work deals with Workflow Mining (WM) a very active and promising research area. First, in this paper we precise the main uses cases of WM, and then we present a critical and comparative study of three representative WM systems of this area: the ProM, InWolve and WorkflowMiner systems. The comparison is made according to quality criteria that we have proposed such as the capacity to filter and convert a Workflow log, the capacity to discover workflow models and the capacity to support Multi-Analysis of processes. One of the most components specific to these systems is the Workflow log which is the basis for any WM system. This paper also compares their workflow log models by considering five requirements (Usability, Refer to the three workflow models, Simplicity, EventStream and TimeStamp). Finally, we summarize this study and we explain how Multi-Agent Systems (MASs) approach to cope with organizational model discovering issue. In our work, we mean by organizational model, the organizational structures (federation, coalition, team, etc.) and the interaction protocols (contract net, auction, vote, etc.).
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Papers by Faiez Gargouri