Rozprawy doktorskie na temat „Relation Graphs”
Utwórz poprawne odniesienie w stylach APA, MLA, Chicago, Harvard i wielu innych
Sprawdź 50 najlepszych rozpraw doktorskich naukowych na temat „Relation Graphs”.
Przycisk „Dodaj do bibliografii” jest dostępny obok każdej pracy w bibliografii. Użyj go – a my automatycznie utworzymy odniesienie bibliograficzne do wybranej pracy w stylu cytowania, którego potrzebujesz: APA, MLA, Harvard, Chicago, Vancouver itp.
Możesz również pobrać pełny tekst publikacji naukowej w formacie „.pdf” i przeczytać adnotację do pracy online, jeśli odpowiednie parametry są dostępne w metadanych.
Przeglądaj rozprawy doktorskie z różnych dziedzin i twórz odpowiednie bibliografie.
Mercier, Pierre-Adelin. "Graphages à type d'isomorphisme prescrit". Phd thesis, Ecole normale supérieure de lyon - ENS LYON, 2012. http://tel.archives-ouvertes.fr/tel-00751265.
Pełny tekst źródłaByrne, Kate. "Populating the Semantic Web : combining text and relational databases as RDF graphs". Thesis, University of Edinburgh, 2009. http://hdl.handle.net/1842/3781.
Pełny tekst źródłaBouakaz, Adnan. "Real-time scheduling of dataflow graphs". Phd thesis, Université Rennes 1, 2013. http://tel.archives-ouvertes.fr/tel-00945453.
Pełny tekst źródłaEichler, Kathrin [Verfasser], i Josef van [Akademischer Betreuer] Genabith. "Generating and applying textual entailment graphs for relation extraction and email categorization / Kathrin Eichler ; Betreuer: Josef van Genabith". Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2018. http://d-nb.info/1162892242/34.
Pełny tekst źródłaCapshaw, Riley. "Relation Classification using Semantically-Enhanced Syntactic Dependency Paths : Combining Semantic and Syntactic Dependencies for Relation Classification using Long Short-Term Memory Networks". Thesis, Linköpings universitet, Interaktiva och kognitiva system, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-153877.
Pełny tekst źródłaBenkoussas, Chahinez. "Approches non supervisées pour la recommandation de lectures et la mise en relation automatique de contenus au sein d'une bibliothèque numérique". Thesis, Aix-Marseille, 2016. http://www.theses.fr/2016AIXM4379/document.
Pełny tekst źródłaThis thesis deals with the field of information retrieval and the recommendation of reading. It has for objects:— The creation of new approach of document retrieval and recommendation using techniques of combination of results, aggregation of social data and reformulation of queries;— The creation of an approach of recommendation using methods of information retrieval and graph theories.Two collections of documents were used. First one is a collection which is provided by CLEF (Social Book Search - SBS) and the second from the platforms of electronic sources in Humanities and Social Sciences OpenEdition.org (Revues.org). The modelling of the documents of every collection is based on two types of relations:— For the first collection (SBS), documents are connected with similarity calculated by Amazon which is based on several factors (purchases of the users, the comments, the votes, products bought together, etc.);— For the second collection (OpenEdition), documents are connected with relations of citations, extracted from bibliographical references.We show that the proposed approaches bring in most of the cases gain in the performances of research and recommendation. The manuscript is structured in two parts. The first part "state of the art" includes a general introduction, a state of the art of informationretrieval and recommender systems. The second part "contributions" includes a chapter on the detection of reviews of books in Revues.org; a chapter on the methods of IR used on complex queries written in natural language and last chapter which handles the proposed approach of recommendation which is based on graph
Ravelo, Jesus N. "Relations, graphs and programs". Thesis, University of Oxford, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299107.
Pełny tekst źródłaAtto, Muhsin. "Implementing Order Relations on Graphs". Thesis, Uppsala University, Department of Information Technology, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-101170.
Pełny tekst źródłaThe design of automatic verification methods for programs manipulating dynamic data structures is a challenging problem. We consider programs that operate on a data structures with one next-pointer, such as singly linked lists and circular lists. We refer to such data structures as heaps. We represent a heap as a graph, where vertices in the graph represent cells in the heap. To test that a program is safe, we should check that the out put of this program is well formed and is sorted. The aim of this project is to design a number of algorithms to test the different orderings between graphs which arise when including heaps. More precisely, given two graphs, G1 and G2, we check that G1 can be included in G2, using different type of orderings.
Lucas, Claire. "Trois essais sur les relations entre les invariants structuraux des graphes et le spectre du Laplacien sans signe". Phd thesis, Ecole Polytechnique X, 2013. http://pastel.archives-ouvertes.fr/pastel-00956183.
Pełny tekst źródłaHaugeard, Jean-Emmanuel. "Extraction et reconnaissance de primitives dans les façades de Paris à l'aide d'appariement de graphes". Thesis, Cergy-Pontoise, 2010. http://www.theses.fr/2010CERG0497.
Pełny tekst źródłaThis last decade, modeling of 3D city became one of the challenges of multimedia search and an important focus in object recognition. In this thesis we are interested to locate various primitive, especially the windows, in the facades of Paris. At first, we present an analysis of the facades and windows properties. Then we propose an algorithm able to extract automatically window candidates. In a second part, we discuss about extraction and recognition primitives using graph matching of contours. Indeed an image of contours is readable by the human eye, which uses perceptual grouping and makes distinction between entities present in the scene. It is this mechanism that we have tried to replicate. The image is represented as a graph of adjacency of segments of contours, valued by information orientation and proximity to edge segments. For the inexact matching of graphs, we propose several variants of a new similarity based on sets of paths, able to group several contours and robust to scale changes. The similarity between paths takes into account the similarity of sets of segments of contours and the similarity of the regions defined by these paths. The selection of images from a database containing a particular object is done using a KNN or SVM classifier
Ricatte, Thomas. "Hypernode graphs for learning from binary relations between sets of objects". Thesis, Lille 3, 2015. http://www.theses.fr/2015LIL30001/document.
Pełny tekst źródłaEzzeddine, Diala. "A contribution to topological learning and its application in Social Networks". Thesis, Lyon 2, 2014. http://www.theses.fr/2014LYO22011/document.
Pełny tekst źródłaSupervised Learning is a popular field of Machine Learning that has made recent progress. In particular, many methods and procedures have been developed to solve the classification problem. Most classical methods in Supervised Learning use the density estimation of data to construct their classifiers.In this dissertation, we show that the topology of data can be a good alternative in constructing classifiers. We propose using topological graphs like Gabriel graphs (GG) and Relative Neighborhood Graphs (RNG) that can build the topology of data based on its neighborhood structure. To apply this concept, we create a new method called Random Neighborhood Classification (RNC).In this method, we use topological graphs to construct classifiers and then apply Ensemble Methods (EM) to get all relevant information from the data. EM is well known in Machine Learning, generates many classifiers from data and then aggregates these classifiers into one. Aggregate classifiers have been shown to be very efficient in many studies, because it leverages relevant and effective information from each generated classifier. We first compare RNC to other known classification methods using data from the UCI Irvine repository. We find that RNC works very well compared to very efficient methods such as Random Forests and Support Vector Machines. Most of the time, it ranks in the top three methods in efficiency. This result has encouraged us to study the efficiency of RNC on real data like tweets. Twitter, a microblogging Social Network, is especially useful to mine opinion on current affairs and topics that span the range of human interest, including politics. Mining political opinion from Twitter poses peculiar challenges such as the versatility of the authors when they express their political view, that motivate this study. We define a new attribute, called couple, that will be very helpful in the process to study the tweets opinion. A couple is an author that talk about a politician. We propose a new procedure that focuses on identifying the opinion on tweet using couples. We think that focusing on the couples's opinion expressed by several tweets can overcome the problems of analysing each single tweet. This approach can be useful to avoid the versatility, language ambiguity and many other artifacts that are easy to understand for a human being but not automatically for a machine.We use classical Machine Learning techniques like KNN, Random Forests (RF) and also our method RNC. We proceed in two steps : First, we build a reference set of classified couples using Naive Bayes. We also apply a second alternative method to Naive method, sampling plan procedure, to compare and evaluate the results of Naive method. Second, we evaluate the performance of this approach using proximity measures in order to use RNC, RF and KNN. The expirements used are based on real data of tweets from the French presidential election in 2012. The results show that this approach works well and that RNC performs very good in order to classify opinion in tweets.Topological Learning seems to be very intersting field to study, in particular to address the classification problem. Many concepts to get informations from topological graphs need to analyse like the ones described by Aupetit, M. in his work (2005). Our work show that Topological Learning can be an effective way to perform classification problem
SACLE, JEAN-FRANCOIS. "Relations entre parametres de graphes". Paris 11, 1995. http://www.theses.fr/1995PA112543.
Pełny tekst źródłaBowen, Brian A. "Augmenting the relational model with conceptual graphs". Thesis, Loughborough University, 1995. https://dspace.lboro.ac.uk/2134/10426.
Pełny tekst źródłaKim, Been. "Multiple relative pose graphs for cooperative mapping". Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/59680.
Pełny tekst źródłaCataloged from PDF version of thesis.
Includes bibliographical references (p. 75-78).
This thesis describes a new representation and algorithm for cooperative and persistent simultaneous localization and mapping (SLAM) using multiple robots. Recent pose graph representations have proven very successful for single robot mapping and localization. Among these methods, iSAM (incremental smoothing and mapping) gives an exact incremental solution to the SLAM problem by solving a full nonlinear optimization problem in real-time. In this paper, we present a novel extension to iSAM to facilitate multi-robot mapping based on multiple pose graphs. Our main contribution is a relative formulation of the relationship between multiple pose graphs. Our formulation avoids the initialization problem and leads to an efficient solution when compared to a completely global solution. Efficient access to covariances at any time for relative parameters is also provided, facilitating data association and loop closing. Each individual pose graph still uses a global parameterization, so that the overall system provides a globally consistent multi-robot solution. The performance of the technique is illustrated on a publicly available multi-robot data set as well as other data including a helicopter-ground robot combination.
by Been Kim.
S.M.
Chandra, Nagasai. "Node Classification on Relational Graphs using Deep-RGCNs". DigitalCommons@CalPoly, 2021. https://digitalcommons.calpoly.edu/theses/2265.
Pełny tekst źródłaSun, Pak Kiu. "Incidence coloring : origins, developments and relation with other colorings". HKBU Institutional Repository, 2007. http://repository.hkbu.edu.hk/etd_ra/826.
Pełny tekst źródłaCavalheiro, Simone André da Costa. "Relational approach of graph grammars". reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2010. http://hdl.handle.net/10183/25516.
Pełny tekst źródłaGraph grammars are a formal language well-suited to applications in which states have a complex topology (involving not only many types of elements, but also different types of relations between them) and in which behaviour is essentially data-driven, that is, events are triggered basically by particular configurations of the state. Many reactive systems are examples of this class of applications, such as protocols for distributed and mobile systems, simulation of biological systems, and many others. The verification of graph grammar models through model-checking is currently supported by various approaches. Although model-checking is an important analysis method, it has as disadvantage the need to build the complete state space, which can lead to the state explosion problem. Much progress has been made to deal with this difficulty, and many techniques have increased the size of the systems that may be verified. Other approaches propose to over- and/or under-approximate the state-space, but in this case it is not possible to check arbitrary properties. Besides model checking, theorem proving is another wellestablished approach for verification. Theorem proving is a technique where both the system and its desired properties are expressed as formulas in some mathematical logic. A logical description defines the system, establishing a set of axioms and inference rules. The process of verification consists of finding a proof of the required property from the axioms or intermediary lemmas of the system. Each verification technique has arguments for and against its use, but we can say that model-checking and theorem proving are complementary. Most of the existing approaches use model checkers to analyse properties of computations, that is, properties over the sequences of steps a system may engage in. Properties about reachable states are handled, if at all possible, only in very restricted ways. In this work, our main aim is to provide a means to prove properties of reachable graphs of graph grammar models using the theorem proving technique. We propose an encoding of (the Single-Pushout approach of) graph grammar specifications into a relational and logical approach which allows the application of the mathematical induction technique to analyse systems with infinite state-spaces. We have defined graph grammars using relational structures and used logical languages to model rule applications. We first consider the case of simple (typed) graphs, and then we extend the approach to the non-trivial case of attributed-graphs and grammars with negative application conditions. Besides that, based on this relational encoding, we establish patterns for the presentation, codification and reuse of property specifications. The pattern has the goal of helping and simplifying the task of stating precise requirements to be verified. Finally, we propose to implement relational definitions of graph grammars in event-B structures, such that it is possible to use the event-B provers to demonstrate properties of a graph grammar.
Rawlani, Praynaa. "Graph analytics on relational databases". Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/100670.
Pełny tekst źródłaCataloged from PDF version of thesis.
Includes bibliographical references (pages 99-100).
Graph analytics has become increasing popular in the recent years. Conventionally, data is stored in relational databases that have been refined over decades, resulting in highly optimized data processing engines. However, the awkwardness of expressing iterative queries in SQL makes the relational query-processing model inadequate for graph analytics, leading to many alternative solutions. Our research explores the possibility of combining a more natural query model with relational databases for graph analytics. In particular, we bring together a graph-natural vertex-centric query interface to highly optimized column-oriented relational databases, thus providing the efficiency of relational engines and ease-of-use of new graph systems. Throughout the thesis, we used stochastic gradient descent, a loss-minimization algorithm applied in many machine learning and graph analytics queries, as the example iterative algorithm. We implemented two different approaches for emulating a vertex-centric interface on a leading column-oriented database, Vertica: disk-based and main-memory based. The disk-based solution stores data for each iteration in relational tables and allows for interleaving SQL queries with graph algorithms. The main-memory approach stores data in memory, allowing faster updates. We applied optimizations to both implementations, which included refining logical and physical query plans, applying algorithm-level improvements and performing system-specific optimizations. The experiments and results show that the two implementations provide reasonable performance in comparison with popular graph processing systems. We present a detailed cost analysis of the two implementations and study the effect of each individual optimization on the query performance.
by Praynaa Rawlani.
M. Eng.
Long, Yangjing. "Graph Relations and Constrained Homomorphism Partial Orders". Doctoral thesis, Universitätsbibliothek Leipzig, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-154281.
Pełny tekst źródłaEdström, August, i Johan Isaksson. "Inferring Dataset Relations using Knowledge Graph Metadata". Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-414918.
Pełny tekst źródłaWebbplatsen dataportalen.se syftar till att öka tillgängligheten av svensk öppna data. Detta görs genom att samla in metadata om de öppna datamängderna som tillhandahålls av svenska organisationer. I skrivande stund finns metadata från mer än två tusendatamängder i portalen, och detta antal kommer att öka. När antalet datamängder ökar blir genomsökandet av relevant information allt svårare och mer tidskrävande. För närvarande är det möjligt att genomsöka datamängderna med hjälp av sökning med text och sedan filtrering med tema, organisation, filformat eller licens. Vi tror att det finns mer potential att koppla samman datamängderna, vilket skulle göra det enklare att hitta datamängder av intresse. Idén är att hitta gemensamma nämnare i metadatat för datamängderna. Eftersom det inte finns någon användardata kommervi att undersöka i vilken utsträckning denna idé kan realiseras. Datamängderna kommenteras med metadata som titel, beskrivning, nyckelord, och tema. Genom att jämföra metadata från olika datamängder kan ett mått på likhet beräknas. Detta mått kan sedan användas för att hitta de mest relevanta datamängderna för en specifik datamängd. Resultaten av analysen av metadata är att liknande datamängder kan hittas. Genom att utforska olika metoder fann vi att textdata inneåaller användbar information som kan användas för att hitta relationer mellan datamängder. Genom att använda ett relaterat arbete som riktmärke fann vi att våra resultat är lika bra, om inte bättre. Resultaten visar att relaterade datamängder kan hittas med bara textdata, och vi anser att den identifierade metoden är tillräckligt generell för att ha potential att kunna användas i liknande problem där textdata är tillgänglig.
García, Durán Alberto. "Learning representations in multi-relational graphs : algorithms and applications". Thesis, Compiègne, 2016. http://www.theses.fr/2016COMP2271/document.
Pełny tekst źródłaInternet provides a huge amount of information at hand in such a variety of topics, that now everyone is able to access to any kind of knowledge. Such a big quantity of information could bring a leap forward in many areas if used properly. This way, a crucial challenge of the Artificial Intelligence community has been to gather, organize and make intelligent use of this growing amount of available knowledge. Fortunately, important efforts have been made in gathering and organizing knowledge for some time now, and a lot of structured information can be found in repositories called Knowledge Bases (KBs). A main issue with KBs is that they are far from being complete. This thesis proposes several methods to add new links between the existing entities of the KB based on the learning of representations that optimize some defined energy function. We also propose a novel application to make use of this structured information to generate questions in natural language
Majid, Nihad Abdel Jalil. "Morphologie de certaines relations binaires". Aix-Marseille 1, 1991. http://www.theses.fr/1991AIX11342.
Pełny tekst źródłaOliveira, Péricles Silva de, i 21-98498-9543. "Generation and Ranking of Candidate Networks of Relations for Keyword Search over Relational Databases". Universidade Federal do Amazonas, 2017. http://tede.ufam.edu.br/handle/tede/5806.
Pełny tekst źródłaApproved for entry into archive by Divisão de Documentação/BC Biblioteca Central (ddbc@ufam.edu.br) on 2017-08-22T19:40:26Z (GMT) No. of bitstreams: 2 Tese - Péricles Silva de Oliveira.pdf: 1875380 bytes, checksum: 014ba89b7fe1929a1461c9d8d3959416 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)
Approved for entry into archive by Divisão de Documentação/BC Biblioteca Central (ddbc@ufam.edu.br) on 2017-08-22T19:40:44Z (GMT) No. of bitstreams: 2 Tese - Péricles Silva de Oliveira.pdf: 1875380 bytes, checksum: 014ba89b7fe1929a1461c9d8d3959416 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)
Made available in DSpace on 2017-08-22T19:40:44Z (GMT). No. of bitstreams: 2 Tese - Péricles Silva de Oliveira.pdf: 1875380 bytes, checksum: 014ba89b7fe1929a1461c9d8d3959416 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2017-04-28
Several systems proposed for processing keyword queries over relational databases rely on the generation and evaluation of Candidate Networks (CNs), i.e., networks of joined database relations that, when processed as SQL queries, provide a relevant answer to the input keyword query. Although the evaluation of CNs has been extensively addressed in the literature, problems related to efficiently generating meaningful CNs have received much less attention. To generate useful CNs is necessary to automatically locating, given a handful of keywords, relations in the database that may contain relevant pieces of information, and determining suitable ways of joining these relations to satisfy the implicit information need expressed by a user when formulating her query. In this thesis, we present two main contributions related to the processing of Candidate Networks. As our first contribution, we present a novel approach for generating CNs, in which possible matchings of the query in database are efficiently enumerated at first. These query matches are then used to guide the CN generation process, avoiding the exhaustive search procedure used by current state-of-art approaches. We show that our approach allows the generation of a compact set of CNs that leads to superior quality answers, and that demands less resources in terms of processing time and memory. As our second contribution, we initially argue that the number of possible Candidate Networks that can be generated by any algorithm is usually very high, but that, in fact, only very few of them produce answers relevant to the user and are indeed worth processing. Thus, there is no point in wasting resources processing useless CNs. Then, based on such an argument, we present an algorithm for ranking CNs, based on their probability of producing relevant answers to the user. This relevance is estimated based on the current state of the underlying database using a probabilistic Bayesian model we have developed. By doing so we are able do discard a large number of CNs, ultimately leading to better results in terms of quality and performance. Our claims and proposals are supported by a comprehensive set of experiments we carried out using several query sets and datasets used in previous related work and whose results we report and analyse here.
Sem resumo.
El, Abri Marwa. "Probabilistic relational models learning from graph databases". Thesis, Nantes, 2018. http://www.theses.fr/2018NANT4019/document.
Pełny tekst źródłaHistorically, Probabilistic Graphical Models (PGMs) are a solution for learning from uncertain and flat data, also called propositional data or attributevalue representations. In the early 2000s, great interest was addressed to the processing of relational data which includes a large number of objects participating in different relations. Probabilistic Relational Models (PRMs) present an extension of PGMs to the relational context. With the rise of the internet, numerous technological innovations and web applications are driving the dramatic increase of various and complex data. Consequently, Big Data has emerged. Several types of data stores have been created to manage this new data, including the graph databases. Recently there has been an increasing interest in graph databases to model objects and interactions. However, all PRMs structure learning use wellstructured data that are stored in relational databases. Graph databases are unstructured and schema-free data stores. Edges between nodes can have various signatures. Since, relationships that do not correspond to an ER model could be depicted in the database instance. These relationships are considered as exceptions. In this thesis, we are interested by this type of data stores. Also, we study two kinds of PRMs namely, Direct Acyclic Probabilistic Entity Relationship (DAPER) and Markov Logic Networks (MLNs). We propose two significant contributions. First, an approach to learn DAPERs from partially structured graph databases. A second approach consists to benefit from first-order logic to learn DAPERs using MLN framework to take into account the exceptions that are dropped during DAPER learning. We are conducting experimental studies to compare our proposed methods with existing approaches
Dube, Matthew P. "An Embedding Graph for 9-Intersection Topological Spatial Relations". Fogler Library, University of Maine, 2009. http://www.library.umaine.edu/theses/pdf/DubeMP2009.pdf.
Pełny tekst źródłaRicher, Émilie. "Relative hyperbolicity of graphs of free groups with cyclic edge groups". Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=101170.
Pełny tekst źródłaWe apply a "coning-off" process to peripheral subgroups of the universal cover X̃ → X obtaining a space Cone(X̃) in order to prove that Cone (X̃) has a linear isoperimetric function and hence satisfies weak relative hyperbolicity with respect to peripheral subgroups.
We then use a recent characterisation of relative hyperbolicity presented by D.V. Osin to serve as a bridge between our linear isoperimetric function for Cone(X̃) and a complete proof of relative hyperbolicity. This characterisation allows us to utilise geometric properties of X in order to show that pi1( X) has a linear relative isoperimetric function. This property is known to be equivalent to relative hyperbolicity.
Keywords. Relative hyperbolicity; Graphs of free groups with cyclic edge groups, Relative isoperimetric function, Weak relative hyperbolicity.
Mapfumo, Emmanuel. "Grapevine root growth in relation to water uptake from soil". Title page, contents and summary only, 1994. http://web4.library.adelaide.edu.au/theses/09A/09am297.pdf.
Pełny tekst źródłaThomassé, Stéphan. "Catégoricité, belordre et décomposabilité des relations". Lyon 1, 1995. http://www.theses.fr/1995LYO10166.
Pełny tekst źródłaChao, Tian-Jy. "Estimating temporary file sizes for query graphs in distributed relational database systems". Thesis, Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/90921.
Pełny tekst źródłaM.S.
Rahman, Md Rashedur. "Knowledge Base Population based on Entity Graph Analysis". Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS092/document.
Pełny tekst źródłaKnowledge Base Population (KBP) is an important and challenging task specially when it has to be done automatically. The objective of KBP task is to make a collection of facts of the world. A Knowledge Base (KB) contains different entities, relationships among them and various properties of the entities. Relation extraction (RE) between a pair of entity mentions from text plays a vital role in KBP task. RE is also a challenging task specially for open domain relations. Generally, relations are extracted based on the lexical and syntactical information at the sentence level. However, global information about known entities has not been explored yet for RE task. We propose to extract a graph of entities from the overall corpus and to compute features on this graph that are able to capture some evidence of holding relationships between a pair of entities. In order to evaluate the relevance of the proposed features, we tested them on a task of relation validation which examines the correctness of relations that are extracted by different RE systems. Experimental results show that the proposed features lead to outperforming the state-of-the-art system
Ostermeier, Lydia. "(Relaxed) Product Structures of Graphs and Hypergraphs". Doctoral thesis, Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-167934.
Pełny tekst źródłaMuller, Christophe. "Relations structure-activité pour le métabolisme et la toxicité". Phd thesis, Université de Strasbourg, 2013. http://tel.archives-ouvertes.fr/tel-00834868.
Pełny tekst źródłaSoussi, Rania. "Querying and extracting heterogeneous graphs from structured data and unstrutured content". Phd thesis, Ecole Centrale Paris, 2012. http://tel.archives-ouvertes.fr/tel-00740663.
Pełny tekst źródłaJoret, Gwenaël. "Entropy and stability in graphs". Doctoral thesis, Universite Libre de Bruxelles, 2007. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210605.
Pełny tekst źródłaLa thèse est divisée en deux parties, toutes deux liées à la notion de stables dans un graphe. Dans la première partie, nous étudions un problème de coloration de graphes, c'est à dire de partition en stables, où le but est de minimiser l'entropie de la partition. C'est une variante du problème classique de minimiser le nombre de couleurs utilisées. Nous considérons aussi une généralisation du problème aux couvertures d'ensembles. Ces deux problèmes sont appelés respectivement minimum entropy coloring et minimum entropy set cover, et sont motivés par diverses applications en théorie de l'information et en bioinformatique. Nous obtenons entre autres une caractérisation précise de la complexité de minimum entropy set cover :le problème peut être approximé à une constante lg e (environ 1.44) près, et il est NP-difficile de faire strictement mieux. Des résultats analogues sont prouvés concernant la complexité de minimum entropy coloring.
Dans la deuxième partie de la thèse, nous considérons les graphes dont le nombre de stabilité augmente dès qu'une arête est enlevée. Ces graphes sont dit être "alpha-critiques", et jouent un rôle important dans de nombreux domaines, comme la théorie extrémale des graphes ou la combinatoire polyédrique. Nous revisitons d'une part la théorie des graphes alpha-critiques, donnant à cette occasion de nouvelles démonstrations plus simples pour certains théorèmes centraux. D'autre part, nous étudions certaines facettes du polytope des ordres totaux qui peuvent être vues comme une généralisation de la notion de graphe alpha-critique. Nous étendons de nombreux résultats de la théorie des graphes alpha-critiques à cette famille de facettes.
Doctorat en Sciences
info:eu-repo/semantics/nonPublished
Kitanov, Ksenija [Verfasser], Peter [Akademischer Betreuer] Fiebig i Stéphane [Gutachter] Gaussent. "Higher-order congruence relations on affine moment graphs / Ksenija Kitanov ; Gutachter: Stéphane Gaussent ; Peter Fiebig". Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2018. http://d-nb.info/1154595234/34.
Pełny tekst źródłaCasellato, Claudio <1997>. "International Trade Modelling with Temporal Relational Graph Neural Networks". Master's Degree Thesis, Università Ca' Foscari Venezia, 2022. http://hdl.handle.net/10579/21414.
Pełny tekst źródłaZhou, Xinwei. "Reachability relations in selective regression testing". Thesis, London South Bank University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.265281.
Pełny tekst źródłaYao, Liangjin. "Decompositions and representations of monotone operators with linear graphs". Thesis, University of British Columbia, 2007. http://hdl.handle.net/2429/2807.
Pełny tekst źródłaViégas, Rafael Pedroni. "Aplicação de conceitos de bancos de dados de grafos e relacional na criação de proposta e análise comparativa de abordagens para armazenamento de processos". reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2018. http://hdl.handle.net/10183/180130.
Pełny tekst źródłaBusiness Process Management (BPM) area has been increasingly attracted the interest of the business community because users are looking for documentation and optimization. These documents can be an important method in helping to gain results such as reduced costs and increased productivity. However, to model processes is not enough. It is necessary to pay attention to efficient storage methods, allowing information to be handled and used in a practical and intelligent way. The present article compares the use of relational databases and graph databases, considering aspects such as performance in the execution of operations and proximity of the approach of each of them with the process models. While relational databases are more popular, being used in most of the current applications, graph databases have properties and graphical representations similar to process models. The results of this study can be used to create repositories which can both share process efficiently, and encourage the study of new ways of storing processes.
Knight, Daniel William. "Reactor behavior and its relation to chemical reaction network structure". The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1438274630.
Pełny tekst źródłaCaboche, Gilles. "Relation structure-dimensions des grains monocristallins : cas d'un matériau polaire, BaTi03". Dijon, 1991. http://www.theses.fr/1991DIJOS062.
Pełny tekst źródłaBinko, Petr. "Moderní plánovací algoritmy". Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2010. http://www.nusl.cz/ntk/nusl-237146.
Pełny tekst źródłaNguyen, Thi Kim Ngan. "Generalizing association rules in n-ary relations : application to dynamic graph analysis". Phd thesis, INSA de Lyon, 2012. http://tel.archives-ouvertes.fr/tel-00995132.
Pełny tekst źródłaChan, Ming-Yuen. "Quality enhancement and relation-aware exploration pipeline for volume visualization /". View abstract or full-text, 2009. http://library.ust.hk/cgi/db/thesis.pl?CSED%202009%20CHANM.
Pełny tekst źródłaMaturana, Miranda Francisco Ramón Javier. "Le système des villes moyennes du sud du Chili, vers la construction de nouveaux espaces de relations ?" Thesis, Paris 4, 2012. http://www.theses.fr/2012PA040082.
Pełny tekst źródłaMedium-size cities have been the subject of profound debate given their complexity in order to define them. A particular system consisting of this type of cities is located in southern Chile, an area which comprises the regions of La Araucania, Los Ríos and Los Lagos. This system seems to have a monocentric configuration, where interactions between population centers would be arranged within each region and therefore trans-border links would be weak or not present. In addition to that, urban centers that compose the system would have differentiated spatial patterns, both at a regional and local scale. In this sense, this thesis tries to understand the concept of medium-size and intermediate cities and stabilize it, to understand the system of cities of southern Chile thanks to a network approach and the analysis of the cohesion degree in urban centers. The network that organizes this system is determined largely by relations of hierarchical and vertical type, having a high degree of dependency of small cities within a region to each of the regional capitals, which organizes a moncentric network within each regional area, including identifying isolated towns. The degree of polycentrism for the entire system is low and this situation is even deeper within each regional area. The spatial relationships between urban centers are in two scales, first to set up three types of spatial organization and second presents three types of spatial organization that develop between pairs of nodes in the network
Flindt, Natalie Lorraine. "Exploring the relation between basic reading proficiency and reading comprehension across grades /". view abstract or download file of text, 2007. http://proquest.umi.com/pqdweb?did=1404348961&sid=2&Fmt=2&clientId=11238&RQT=309&VName=PQD.
Pełny tekst źródłaTypescript. Includes vita and abstract. Includes bibliographical references (leaves 105-108). Also available for download via the World Wide Web; free to University of Oregon users.
McPhee, Jillian Dawn. "Endomorphisms of Fraïssé limits and automorphism groups of algebraically closed relational structures". Thesis, University of St Andrews, 2012. http://hdl.handle.net/10023/3358.
Pełny tekst źródłaLauer, Joseph. "Cubulating one-relator groups with torsion". Thesis, McGill University, 2007. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=101861.
Pełny tekst źródłaTrissl, Silke. "Cost-based optimization of graph queries in relational database management systems". Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2012. http://dx.doi.org/10.18452/16544.
Pełny tekst źródłaGraphs occur in many areas of life. We are interested in graphs in biology, where nodes are chemical compounds, enzymes, reactions, or interactions that are connected by edges. Efficiently querying these graphs is a challenging task. In this thesis we present GRIcano, a system that efficiently executes graph queries. For GRIcano we assume that graphs are stored and queried using relational database management systems (RDBMS). We propose an extended version of the Pathway Query Language PQL to express graph queries. The core of GRIcano is a cost-based query optimizer. This thesis makes contributions to all three required components of the optimizer, the relational algebra, implementations, and cost model. Relational algebra operators alone are not sufficient to express graph queries. Thus, we first present new operators to rewrite PQL queries to algebra expressions. We propose the reachability, distance, path length, and path operator. In addition, we provide rewrite rules for the newly proposed operators in combination with standard relational algebra operators. Secondly, we present implementations for each proposed operator. The main contribution is GRIPP, an index structure that allows us to answer reachability queries on very large graphs. GRIPP has advantages over other existing index structures, which we review in this work. In addition, we show how to employ GRIPP and the recursive query strategy as implementation for all four proposed operators. The third component of GRIcano is the cost model, which requires cardinality estimates for operators and cost functions for implementations. Based on extensive experimental evaluation of our proposed algorithms we present functions to estimate the cardinality of operators and the cost of executing a query. The novelty of our approach is that these functions only use key figures of the graph. We finally present the effectiveness of GRIcano using exemplary graph queries on real biological networks.