2,264 research outputs found
Termination of Narrowing: Automated Proofs and Modularity Properties
En 1936 Alan Turing demostro que el halting problem, esto es, el problema de decidir
si un programa termina o no, es un problema indecidible para la inmensa mayoria de
los lenguajes de programacion. A pesar de ello, la terminacion es un problema tan
relevante que en las ultimas decadas un gran numero de tecnicas han sido desarrolladas
para demostrar la terminacion de forma automatica de la maxima cantidad posible de
programas. Los sistemas de reescritura de terminos proporcionan un marco teorico
abstracto perfecto para el estudio de la terminacion de programas. En este marco, la
evaluaci on de un t ermino consiste en la aplicacion no determinista de un conjunto de
reglas de reescritura.
El estrechamiento (narrowing) de terminos es una generalizacion de la reescritura
que proporciona un mecanismo de razonamiento automatico. Por ejemplo, dado un
conjunto de reglas que denan la suma y la multiplicacion, la reescritura permite calcular
expresiones aritmeticas, mientras que el estrechamiento permite resolver ecuaciones
con variables. Esta tesis constituye el primer estudio en profundidad de las
propiedades de terminacion del estrechamiento. Las contribuciones son las siguientes.
En primer lugar, se identican clases de sistemas en las que el estrechamiento tiene
un comportamiento bueno, en el sentido de que siempre termina. Muchos metodos
de razonamiento automatico, como el analisis de la semantica de lenguajes de programaci
on mediante operadores de punto jo, se benefician de esta caracterizacion.
En segundo lugar, se introduce un metodo automatico, basado en el marco teorico
de pares de dependencia, para demostrar la terminacion del estrechamiento en un
sistema particular. Nuestro metodo es, por primera vez, aplicable a cualquier clase
de sistemas.
En tercer lugar, se propone un nuevo metodo para estudiar la terminacion del
estrechamiento desde un termino particular, permitiendo el analisis de la terminacion
de lenguajes de programacion. El nuevo metodo generaliza losIborra LĂłpez, J. (2010). Termination of Narrowing: Automated Proofs and Modularity Properties [Tesis doctoral no publicada]. Universitat PolitĂšcnica de ValĂšncia. https://doi.org/10.4995/Thesis/10251/19251Palanci
Approximate text generation from non-hierarchical representations in a declarative framework
This thesis is on Natural Language Generation. It describes a linguistic realisation
system that translates the semantic information encoded in a conceptual graph into an
English language sentence. The use of a non-hierarchically structured semantic representation (conceptual graphs) and an approximate matching between semantic structures allows us to investigate a more general version of the sentence generation problem
where one is not pre-committed to a choice of the syntactically prominent elements in
the initial semantics. We show clearly how the semantic structure is declaratively related to linguistically motivated syntactic representation â we use D-Tree Grammars
which stem from work on Tree-Adjoining Grammars. The declarative specification of
the mapping between semantics and syntax allows for different processing strategies
to be exploited. A number of generation strategies have been considered: a pure topdown strategy and a chart-based generation technique which allows partially successful
computations to be reused in other branches of the search space. Having a generator
with increased paraphrasing power as a consequence of using non-hierarchical input
and approximate matching raises the issue whether certain 'better' paraphrases can be
generated before others. We investigate preference-based processing in the context of
generation
Ontology-based data access with databases: a short course
Ontology-based data access (OBDA) is regarded as a key ingredient of the new generation of information systems. In the OBDA paradigm, an ontology defines a high-level global schema of (already existing) data sources and provides a vocabulary for user queries. An OBDA system rewrites such queries and ontologies into the vocabulary of the data sources and then delegates the actual query evaluation to a suitable query answering system such as a relational database management system or a datalog engine. In this chapter, we mainly focus on OBDA with the ontology language OWL 2QL, one of the three profiles of the W3C standard Web Ontology Language OWL 2, and relational databases, although other possible languages will also be discussed. We consider different types of conjunctive query rewriting and their succinctness, different architectures of OBDA systems, and give an overview of the OBDA system Ontop
Processing Rank-Aware Queries in Schema-Based P2P Systems
ï»żEffiziente Anfragebearbeitung in Datenintegrationssystemen sowie in
P2P-Systemen ist bereits seit einigen Jahren ein Aspekt aktueller
Forschung. Konventionelle Datenintegrationssysteme bestehen aus mehreren
Datenquellen mit ggf. unterschiedlichen Schemata, sind hierarchisch
aufgebaut und besitzen eine zentrale Komponente: den Mediator, der ein
globales Schema verwaltet. Anfragen an das System werden auf diesem
globalen Schema formuliert und vom Mediator bearbeitet, indem relevante
Daten von den Datenquellen transparent fĂŒr den Benutzer angefragt werden.
Aufbauend auf diesen Systemen entstanden schlieĂlich
Peer-Daten-Management-Systeme (PDMSs) bzw. schemabasierte P2P-Systeme. An
einem PDMS teilnehmende Knoten (Peers) können einerseits als Mediatoren
agieren andererseits jedoch ebenso als Datenquellen. DarĂŒber hinaus sind
diese Peers autonom und können das Netzwerk jederzeit verlassen bzw.
betreten. Die potentiell riesige Datenmenge, die in einem derartigen
Netzwerk verfĂŒgbar ist, fĂŒhrt zudem in der Regel zu sehr groĂen
Anfrageergebnissen, die nur schwer zu bewÀltigen sind. Daher ist das
Bestimmen einer vollstĂ€ndigen Ergebnismenge in vielen FĂ€llen Ă€uĂerst
aufwÀndig oder sogar unmöglich. In diesen FÀllen bietet sich die
Anwendung von Top-N- und Skyline-Operatoren, ggf. in Verbindung mit
Approximationstechniken, an, da diese Operatoren lediglich diejenigen
DatensÀtze als Ergebnis ausgeben, die aufgrund nutzerdefinierter
Ranking-Funktionen am relevantesten fĂŒr den Benutzer sind. Da durch die
Anwendung dieser Operatoren zumeist nur ein kleiner Teil des Ergebnisses
tatsÀchlich dem Benutzer ausgegeben wird, muss nicht zwangslÀufig die
vollstÀndige Ergebnismenge berechnet werden sondern nur der Teil, der
tatsĂ€chlich relevant fĂŒr das Endergebnis ist.
Die Frage ist nun, wie man derartige Anfragen durch die Ausnutzung dieser
Erkenntnis effizient in PDMSs bearbeiten kann. Die Beantwortung dieser
Frage ist das Hauptanliegen dieser Dissertation. Zur Lösung dieser
Problemstellung stellen wir effiziente Anfragebearbeitungsstrategien in
PDMSs vor, die die charakteristischen Eigenschaften ranking-basierter
Operatoren sowie Approximationstechniken ausnutzen. Peers werden dabei
sowohl auf Schema- als auch auf Datenebene hinsichtlich der Relevanz ihrer
Daten geprĂŒft und dementsprechend in die Anfragebearbeitung einbezogen
oder ausgeschlossen. Durch die HeterogenitÀt der Peers werden Techniken
zum Umschreiben einer Anfrage von einem Schema in ein anderes nötig. Da
existierende Techniken zum Umschreiben von Anfragen zumeist nur konjunktive
Anfragen betrachten, stellen wir eine Erweiterung dieser Techniken vor, die
Anfragen mit ranking-basierten Anfrageoperatoren berĂŒcksichtigt. Da PDMSs
dynamische Systeme sind und teilnehmende Peers jederzeit ihre Daten Àndern
können, betrachten wir in dieser Dissertation nicht nur wie Routing-Indexe
verwendet werden, um die Relevanz eines Peers auf Datenebene zu bestimmen,
sondern auch wie sie gepflegt werden können. SchlieĂlich stellen wir
SmurfPDMS (SiMUlating enviRonment For Peer Data Management Systems) vor,
ein System, welches im Rahmen dieser Dissertation entwickelt wurde und alle
vorgestellten Techniken implementiert.In recent years, there has been considerable research with respect to query
processing in data integration and P2P systems. Conventional data
integration systems consist of multiple sources with possibly different
schemas, adhere to a hierarchical structure, and have a central component
(mediator) that manages a global schema. Queries are formulated against
this global schema and the mediator processes them by retrieving relevant
data from the sources transparently to the user. Arising from these
systems, eventually Peer Data Management Systems (PDMSs), or schema-based
P2P systems respectively, have attracted attention. Peers participating in
a PDMS can act both as a mediator and as a data source, are autonomous, and
might leave or join the network at will. Due to these reasons peers often
hold incomplete or erroneous data sets and mappings. The possibly huge
amount of data available in such a network often results in large query
result sets that are hard to manage. Due to these reasons, retrieving the
complete result set is in most cases difficult or even impossible. Applying
rank-aware query operators such as top-N and skyline, possibly in
conjunction with approximation techniques, is a remedy to these problems as
these operators select only those result records that are most relevant to
the user. Being aware that in most cases only a small fraction of the
complete result set is actually output to the user, retrieving the complete
set before evaluating such operators is obviously inefficient.
Therefore, the questions we want to answer in this dissertation are how to
compute such queries in PDMSs and how to do that efficiently. We propose
strategies for efficient query processing in PDMSs that exploit the
characteristics of rank-aware queries and optionally apply approximation
techniques. A peer's relevance is determined on two levels: on schema-level
and on data-level. According to its relevance a peer is either considered
for query processing or not. Because of heterogeneity queries need to be
rewritten, enabling cooperation between peers that use different schemas.
As existing query rewriting techniques mostly consider conjunctive queries
only, we present an extension that allows for rewriting queries involving
rank-aware query operators. As PDMSs are dynamic systems and peers might
update their local data, this dissertation addresses not only the problem
of considering such structures within a query processing strategy but also
the problem of keeping them up-to-date. Finally, we provide a system-level
evaluation by presenting SmurfPDMS (SiMUlating enviRonment For Peer Data
Management Systems) -- a system created in the context of this dissertation
implementing all presented techniques
Frontiers of Membrane Computing: Open Problems and Research Topics
This is a list of open problems and research topics collected after the Twelfth
Conference on Membrane Computing, CMC 2012 (Fontainebleau, France (23 - 26 August
2011), meant initially to be a working material for Tenth Brainstorming Week on
Membrane Computing, Sevilla, Spain (January 30 - February 3, 2012). The result was
circulated in several versions before the brainstorming and then modified according to
the discussions held in Sevilla and according to the progresses made during the meeting.
In the present form, the list gives an image about key research directions currently active
in membrane computing
Positive Definite Kernels in Machine Learning
This survey is an introduction to positive definite kernels and the set of
methods they have inspired in the machine learning literature, namely kernel
methods. We first discuss some properties of positive definite kernels as well
as reproducing kernel Hibert spaces, the natural extension of the set of
functions associated with a kernel defined
on a space . We discuss at length the construction of kernel
functions that take advantage of well-known statistical models. We provide an
overview of numerous data-analysis methods which take advantage of reproducing
kernel Hilbert spaces and discuss the idea of combining several kernels to
improve the performance on certain tasks. We also provide a short cookbook of
different kernels which are particularly useful for certain data-types such as
images, graphs or speech segments.Comment: draft. corrected a typo in figure
Reasoning about correctness properties of a coordination programming language
Safety critical systems place additional requirements to the programming
language used to implement them with respect to traditional environments.
Examples of features that in
uence the suitability of a programming language
in such environments include complexity of de nitions, expressive
power, bounded space and time and veri ability. Hume is a novel programming
language with a design which targets the rst three of these, in some
ways, contradictory features: fully expressive languages cannot guarantee
bounds on time and space, and low-level languages which can guarantee
space and time bounds are often complex and thus error-phrone. In Hume,
this contradiction is solved by a two layered architecture: a high-level fully
expressive language, is built on top of a low-level coordination language
which can guarantee space and time bounds.
This thesis explores the veri cation of Hume programs. It targets safety
properties, which are the most important type of correctness properties,
of the low-level coordination language, which is believed to be the most
error-prone. Deductive veri cation in Lamport's temporal logic of actions
(TLA) is utilised, in turn validated through algorithmic experiments. This
deductive veri cation is mechanised by rst embedding TLA in the Isabelle
theorem prover, and then embedding Hume on top of this. Veri cation of
temporal invariants is explored in this setting.
In Hume, program transformation is a key feature, often required to guarantee
space and time bounds of high-level constructs. Veri cation of transformations
is thus an integral part of this thesis. The work with both invariant
veri cation, and in particular, transformation veri cation, has pinpointed
several weaknesses of the Hume language. Motivated and in
uenced by
this, an extension to Hume, called Hierarchical Hume, is developed and
embedded in TLA. Several case studies of transformation and invariant veri
cation of Hierarchical Hume in Isabelle are conducted, and an approach
towards a calculus for transformations is examined.James Watt ScholarshipEngineering and Physical Sciences Research Council (EPSRC) Platform grant GR/SO177
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