1,721,080 research outputs found
Constraint Answer Set Programming Without Grounding and Its Applications
No full textDue to copyright restrictions and/or publisher's policy full text access from Treasures at UT Dallas is limited to current UTD affiliates (use the provided Link to Article).Supplementary material is available on publisher's website. Use the DOI link below.Extending Datalog/ASP with constraints (CASP) enhances its expressiveness and performance but it is not straightforward as the grounding phase removes variables and the links among them. We incorporate constraints into s(ASP), a goal-directed, top-down execution model which implements predicate answer set programming without grounding. The resulting model, s(CASP), can constrain variables that, as in CLP, are kept during the execution and in the answer sets. We show the enhanced expressiveness of s(CASP) w.r.t. other CASP systems, through a non-trivial example of modeling the event calculus. © 2019 CEUR-WS. All rights reserved.Erik Jonsson School of Engineering and Computer Scienc
Towards Provably Correct Code Generation via Horn Logical Continuation Semantics
Full text linkProvably correct compilation is an important aspect in development of high assurance software systems. In this paper we explore approaches to provably correct code generation based on programming language semantics, particularly Horn logical semantics, and partial evaluation. We show that the definite clause grammar (DCG) notation can be used for specifying both the syntax and semantics of imperative languages. We next show that continuation semantics can also be expressed in the Horn logical framework
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
An Answer Set Programming Based Approach to Representing and Querying Textual Knowledge
No full textKnowledge Representation and Reasoning (KR&R) is a field of Artificial Intelligence that deals
with converting information into knowledge in a form that the computer can process. It applies
concepts from the field of psychology, about how humans make rational decisions, to build formal
rules that model the human cognitive processes. Using the generated knowledge bases, the
computer is then able to solve complex tasks like question answering, summarization, automated
reasoning, medical diagnosis and many more. Many of these complex tasks, mentioned above,
require an understanding of natural language text. A vast amount of knowledge that we have today
comes from books and is in the form of natural language text. Such knowledge is in an unstructured form and is not easily interpretable by computers.
An approach based on answer set programming (ASP) is proposed in this thesis for representing
knowledge generated from natural language text. This knowledge is then used to perform
reasoning with the help of advanced implementations of ASP such as s(ASP). ASP representation
of techniques such as default reasoning, hierarchical knowledge organization, negation as failure,
etc., are used to model common-sense reasoning methods required to accomplish this task.
Automation of the question answering task has been used in this thesis to demonstrate the effectiveness of our ASP-based KR&R techniques. The automated Q & A system developed as
part of this thesis parses and converts natural language text to an ASP knowledge base. Users can
pose questions in a natural language that are parsed and converted into ASP queries automatically.
These queries are next solved against the knowledge base obtained from the natural language text
augmented with related, auxiliary knowledge obtained from other resources such as WordNet. In
contrast to approaches based on machine learning, our system answers questions based on actually
understanding the text. This approach has been tested on the SQuAD dataset and the results are
promising
- …
