Olivier Curé

Olivier Curé
University of Paris-Est · Laboratoire d'Informatique Gaspard-Monge UMR 8049 CNRS (LIGM)

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106
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781
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Publications

Publications (106)
Chapter
In recent years, the Resource Description Framework data model has seen an increasing adoption in Web applications and IT in general. This has contributed to the establishment of standards such as the SPARQL query language and the emergence of production-ready database management systems based on this data model. In this paper, we however argue tha...
Preprint
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Edge computing emerges as an innovative platform for services requiring low latency decision making. Its success partly depends on the existence of efficient data management systems. We consider that knowledge graph management systems have a key role to play in this context due to their data integration and reasoning features. In this paper, we pre...
Preprint
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In this paper, we study the following problem: given a knowledge graph (KG) and a set of input vertices (representing concepts or entities) and edge labels, we aim to find the smallest connected subgraphs containing all of the inputs. This problem plays a key role in KG-based search engines and natural language question answering systems, and it is...
Conference Paper
Topic evolution networks are widely used to represent the evolution of research topics in scientific document archives. These networks might contain thousands of topics and alignment edges which are computed by comparing millions of topic pairs with some similarity function. In this work, we are addressing the problem of computing a very large numb...
Chapter
In this paper, we extend LiteMat, an RDFS and owl:sameAs inference-enabled RDF encoding scheme, which is used in a distributed knowledge graph data management system. Our extensions enable to reach RDFS++ expressiveness by integrating owl:transitiveProperty and owl:inverseOf properties. Considering the latter, owl:inverseOf property, we propose a s...
Article
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Shifting from Big Data to Big Knowledge requires systems that are able to cope with the large volume and high-velocity dimensions in a scalable and inference-enabled manner. In this work, we are focusing on stream processing and reasoning using the graph-based RDF data model. We are aiming to explore the ability of modern distributed computing fram...
Chapter
This chapter focuses on to the problem of evaluating SPARQL queries over large resource description framework (RDF) datasets. RDF data graphs can be produced without a predefined schema and SPARQL allows querying both schema and instance information simultaneously. The chapter presents the challenges and solutions for efficiently processing SPARQL...
Article
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The trade-off between language expressiveness and system scalability (E&S) is a well-known problem in RDF stream reasoning. Higher expressiveness supports more complex reasoning logic, however, it may also hinder system scalability. Current research mainly focuses on logical frameworks suitable for stream reasoning as well as the implementation and...
Conference Paper
Real-time processing of data streams emanating from sensors is becoming a common task in Internet of Things scenarios. The key implementation goal consists in efficiently handling massive incoming data streams and supporting advanced data analytics services like anomaly detection. In an on-going, industrial project, a 24 / 7 available stream proces...
Article
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Reasoning over semantically annotated data is an emerging trend in stream processing aiming to produce sound and complete answers to a set of continuous queries. It usually comes at the cost of finding a trade-off between data throughput and the cost of expressive inferences. Strider-lsa proposes such a trade-off and combines a scalable RDF stream...
Article
Real-time processing of data streams emanating from sensors is becoming a common task in industrial scenarios. An increasing number of processing jobs executed over such platforms are requiring reasoning mechanisms. The key implementation goal is thus to efficiently handle massive incoming data streams and support reasoning, data analytic services....
Conference Paper
A common way to achieve scalability for processing SPARQL queries is to choose MapReduce frameworks like Hadoop or Spark. Processing basic graph pattern (BGP) expressions generating large join plans over distributed data partitions is a major challenge in these frameworks. In this article, we study the use of two distributed join algorithms, partit...
Article
Full-text available
Real-time processing of data streams emanating from sensors is becoming a common task in Internet of Things scenarios. The key implementation goal consists in efficiently handling massive incoming data streams and supporting advanced data analytics services like anomaly detection. In an on-going, industrial project, we found out that a 24/7 availab...
Conference Paper
After years of research and development, standards and technologies for semantic data are sufficiently mature to be used as the foundation of novel data science projects that employ semantic technologies in various application domains such as bio-informatics, materials science, criminal intelligence, and social science. Typically, such projects are...
Article
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To cope with the massive growth of semantic data streams, several RDF Stream Processing (RSP) engines have been implemented. The efficiency of their throughput, latency and memory consumption can be evaluated using available benchmarks such as LSBench and City- Bench. Nevertheless, these benchmarks lack an in-depth performance evaluation as some me...
Article
The number of linked data sources and the size of the linked open data graph keep growing every day. As a consequence, semantic RDF services are more and more confronted to various "big data" problems. Query processing is one of them and needs to be efficiently addressed with executions over scalable, highly available and fault tolerant frameworks....
Article
The Semantic Web technologies are being increasingly used for exploiting relations between data. In addition, new tendencies of real-time systems, such as social networks, sensors, cameras or weather information, are continuously generating data. This implies that data and links between them are becoming extremely vast. Such huge quantity of data n...
Article
In this paper, we present a system to visualize RDF knowledge graphs. These graphs are obtained from a knowledge extraction system designed by GEOLSemantics. This extraction is performed using natural language processing and trigger detection. The user can visualize subgraphs by selecting some ontology features like concepts or individuals. The sys...
Conference Paper
The number of linked data sources and the size of the linked open data graph keep growing every day. As a consequence, semantic RDF services are more and more confronted with various "big data" problems. Query processing in the presence of inferences is one them. For instance, to complete the answer set of SPARQL queries, RDF database systems evalu...
Article
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Querying very large RDF data sets in an efficient manner requires a sophisticated distribution strategy. Several innovative solutions have recently been proposed for optimizing data distribution with predefined query workloads. This paper presents an in-depth analysis and experimental comparison of five representative and complementary distribution...
Article
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Electronic Health Records (EHRs) are frequently used by clinicians and researchers to search for, extract, and analyze groups of patients by defining Health Outcome of Interests (HOI). The definition of an HOI is generally considered a complex and time consuming task for health care professionals. In our clinical note-based pharmacovigilance resear...
Article
We start off this paper with a description of the evolution that led from the first version of the Web to the Web of data, sometimes referred to as the Semantic Web. Based on the “data > information > knowledge” hierarchy, we adopt a usage-based perspective.We then make explicit the structures of knowledge representation and the building blocks of...
Conference Paper
In this paper we present WaterFowl, a novel approach for the storage of RDF triples that addresses scalability issues through compression. The architecture of our prototype, largely based on the use of succinct data structures, enables the representation of triples in a self-indexed, compact manner without requiring decompression at query answering...
Article
Open Self-Medication1 is a Web application that better informs people when treating undiagnosed medical ailments with unprescribed, over the counter drugs, i.e., self-medicating. The application achieves this goal by providing a set of functionalities that ensure safety and efficiency of this practice. The system’s most critical operations are proc...
Article
Full-text available
In this paper, we present a novel approach -- called WaterFowl -- for the storage of RDF triples that addresses some key issues in the contexts of big data and the Semantic Web. The architecture of our prototype, largely based on the use of succinct data structures, enables the representation of triples in a self-indexed, compact manner without req...
Article
RDF Database Systems is a cutting-edge guide that distills everything you need to know to effectively use or design an RDF database. This book starts with the basics of linked open data and covers the most recent research, practice, and technologies to help you leverage semantic technology. With an approach that combines technical detail with theor...
Article
The WaterFowl RDF Store is characterized by its high compression rate and a self-indexing approach. Both of these characteristics are due to its underlying architecture. Intuitively, it is based on a stack composed of two forms of Succinct Data Structures, namely bitmaps and wavelet trees. The ability to efficiently retrieve information from these...
Conference Paper
Clinicians and researchers using Electronic Health Records (EHRs) often search for, extract, and analyze groups of patients by defin- ing a health outcome of interest, which may include a set of diseases, conditions, signs, or symptoms. In our work on pharmacovigilance using clinical notes, for example, we use a method that operates over many (po-...
Conference Paper
Full-text available
The Semantic Web makes an extensive use of the OWL DL ontology language, underlied by the \(\mathcal{SHOIQ}\) description logic, to formalize its resources. In this paper, we propose a decision procedure for this logic extended with the transitive closure of roles in concept axioms, a feature needed in several application domains. The most challeng...
Article
Full-text available
DRAOn is a distributed reasoner which offers inference services for a network of OWL ontologies correlated by alignments. Reasoning with such networks of ontologies depends on the semantics we define for alignments with respect to ontologies. DRAOn supports two semantics for a network of ontologies: the standard Description Logics (DL) semantics fo...
Article
Full-text available
The World Wide Web infrastructure together with its more than 2 billion users enables to store information at a rate that has never been achieved before. This is mainly due to the will of storing almost all end-user interactions performed on some web applications. In order to reply to scalability and availability constraints, many web companies inv...
Article
Full-text available
The vision of the Semantic Web is becoming a reality with billions of RDF triples being distributed over multiple queryable end-points (e.g. Linked Data). Although there has been a body of work on RDF triples persistent storage, it seems that, considering reasoning dependent queries, the problem of providing an efficient, in terms of performance, sca...
Article
Full-text available
The Semantic Web makes an extensive use of the OWL DL ontology language, underlied by the SHOIQ description logic, to formalize its resources. In this paper, we propose a decision procedure for this logic extended with the transitive closure of roles in concept axioms, a feature needed in several application domains. To address the problem of consi...
Article
The Anatomical Therapeutic Chemical (ATC) classification system is frequently used to classify drugs according to an encoding sys- Tem that considers the organ or system on which they act on and/or their therapeutic class and chemical characteristics. Motivated by the mainte- nance of a French drug database, we have transformed, using an inductive...
Conference Paper
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This paper presents a trace-based framework for assisting personalization and enrichment of end-user experience in an application. We propose a modular ontology-based architecture, to provide semantics for interaction traces, observed elements and their associated objects, and we extend existing inference services, with a declarative and generic ap...
Article
Full-text available
Many health care systems and services exploit drug related information stored in databases. The poor data quality of these databases, e.g. inaccuracy of drug contraindications, can lead to catastrophic consequences for the health condition of patients. Hence it is important to ensure their quality in terms of data completeness and soundness. In the...
Conference Paper
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No SQL stores are emerging as an efficient alternative to relational database management systems in the context of big data. Many actors in this domain consider that to gain a wider adoption, several extensions have to be integrated. Some of them focus on the ways of proposing more schema, supporting adapted declarative query languages and providin...
Article
Full-text available
In this work, we propose an ExpSpace tableau-based algorithm for deciding consistency of a knowledge base in the description logic SHOIQ. The construction of this algorithm is founded on the standard tableau-based method for SHOIQ and the technique used for designing a NExpTime algorithm for the two-variable fragment of first-order logic with count...
Article
International audience The Semantic Web extends the principles of the Web by allowing computers to understand and easily explore the Web. In recent years RDF has been a widespread data format for the Semantic Web. There is a real need to efficiently store and retrieve RDF data as the number and scale of Semantic Web in real-word applications in use...
Conference Paper
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This paper tackles issues encountered in storing and querying services dealing with information described with Semantic Web languages, e.g. OWL and RDF(S). Our work considers RDF triples stored in relational databases. We assume that depending on the applications and queries asked to RDF triple stores, different partitioning approaches can be consi...
Conference Paper
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Due to the large amount of data generated by user interactions on the Web, some companies are currently innovating in the domain of data management by designing their own systems. Many of them are referred to as NoSQL databases, standing for ’Not only SQL’. With their wide adoption will emerge new needs and data integration will certainly be one of...
Conference Paper
Full-text available
In this paper, we investigate an extension of the description logic SHIQ\mathcal{SHIQ}–a knowledge representation formalism used for the Semantic Web–with transitive closure of roles occurring not only in concept inclusion axioms but also in role inclusion axioms. It was proved that adding transitive closure of roles to SHIQ\mathcal{SHIQ} without r...
Conference Paper
Full-text available
In this paper, we investigate an extension of the description logic SHIQ\mathcal{SHIQ}–a knowledge representation formalism used for the Semantic Web–with transitive closure of roles occurring not only in concept inclusion axioms but also in role inclusion axioms. It was proved that adding transitive closure of roles to SHIQ\mathcal{SHIQ} without r...
Conference Paper
Welcome to the 3rd International Workshop on Ambient Data Integration (ADI’10). The workshop was held in conjunction with the On The Move Federated Conference and Workshops (OTM’10), October 25-29, 2010 in Hersonissou, Crete, Greece. Ambient data integration places an emphasis on integrating data across embedded, context aware, personalized device...
Conference Paper
The VENUS European project aims at providing scientific methodologies and technological tools for the virtual exploration of deep water archaeological sites. Due to the peculiarities of underwater archaeological surveys, the knowledge about the studied items is both provided by underwater archaeology and photogrammetry measures. The preservation an...
Article
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This dissertation presents my interest in developing methods and algorithms necessary for realizing advanced applications for the Semantic Web. This extension of the current Web aims to allow the integration and sharing of data across organizations and applications. A direct consequence of the success of this approach would enable to consider the W...
Chapter
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In this chapter, we present a solution to the problem of merging structures that represent the conceptual layer of some information systems. The kind of structures we are studying correspond to expressive ontologies formalized in Description Logics. The proposed approach creates a merged ontology which captures the knowledge of a set of source onto...
Article
In this work, we consider that the modeling of complex domains can be performed using Domain Specific Languages (DSL). The main principle of this approach consists in developing DSL primitives and to assemble them to model a certain domain. The ability to add new primitives into an existing model and to fine-tune it by replacing some of them provid...
Article
Full-text available
The vision of the Semantic Web is becoming a reality with billions of RDF triples being distributed over multiple queryable end-points (e.g. Linked Data). Although there has been a body of work on RDF triples persistent storage, it seems that the problem of providing an efficient, in terms of query performance and data redundancy, in-ference enable...
Article
The modelling of processes that occur in landscapes is often confronted to issues related to the representation of space and the difficulty of properly handling time and multiple scales. In order to investigate these issues, a flexible modelling environment is required. We propose to develop such a tool based on a Domain Specific Language (DSL) tha...
Conference Paper
In this paper, we propose a solution to the problem of merging ontologies when instances associated to two source ontologies are available. The solution we propose is based on Formal Concept Analysis (FCA) and considers that ontologies are formalized in expressive Description Logics. Our approach creates a merged ontology which captures the knowled...
Conference Paper
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In Computer Supported Cooperative Work (CSCW), it is crucial for project leaders to detect conflicting situations as early as possible. Generally, this task is performed manually by studying a set of documents exchanged between team members. In this paper, we propose a full-fledged automatic solution that identifies documents, subjects and actors i...
Conference Paper
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Ontology-Based Data Access provides a conceptual view over data repositories and mediates the access to this information. The cornerstone of this approach consists of a set of mappings which express relationships between repository entities and ontology elements. In practice, these mappings may incorporate constant values. We propose a (semi) autom...
Conference Paper
Data integration has gained a great attention in current scientific applications due to the increasingly high volume of heterogeneous data and proliferation of diverse data generating devices such as sensors. Recently evolved workflow systems contributed a lot towards scientific data integration by exploiting ontologies. Even though they offer good...
Article
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In this paper, we present an ontology mediation solution based on the methods frequently used in Formal Concept Analysis. Our approach of mediation is based on the existence of instances associated to two source ontologies, then we can generate concepts in a new ontology if and only if they share the same extent. Hence our approach creates a merged...
Conference Paper
Welcome to the proceedings of the second International Workshop on Ambient Data Integration (ADI 2009). The workshop was held in conjunction with the On The Move Federated Conference and Workshops (OTM 2009), November 1-6, 2009 in Vilamoura, Portugal.
Conference Paper
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In this paper, we propose an ontology-based approac h that enables to detect the emergence of relational confl icts between persons that cooperate on computer supported projec ts. In order to detect these conflicts, we analyze, using this onto logy, the e-mails exchanged between these people. Our method aims to inform project team leaders of s uch...