136,638 research outputs found
Uncertainty Management in Information Systems:Executive Summary by the Organizers
No full textThis executive summary provides a brief overview of the topic, the organization, and the outcome of the Dagstuhl Seminar on Uncertainty Management in Information Systems
IMPrECISE: Good-is-good-enough Data Integration
No full textThe IMPrECISE system is a probabilistic XML database system which supports near-automatic integration of XML documents. What is required of the user is to configure the system with a few simple knowledge rules allowing the system to sufficiently eliminate nonsense possibilities. We demonstrate the integration process under conditions with varying degrees of confusion and different sets of rules. Even when an integrated document still contains much uncertainty, it can be queried effectively. The system produces a sequence of possible result elements ranked by likelihood. User feedback on query results further reduces uncertainty which in a sense continues the semantic integration process incrementally. We demonstrate querying on integrated documents and measure answer quality with adapted precision and recall measures. The user feedback mechanism has not been implemented, hence cannot be demonstrated yet. IMPrECISE has been implemented as an XQuery module for the XML DBMS MonetDB/XQuery. Therefore, the demo also illustrates the power of this XML DBMS and of XQuery as both a query and programming language
Trois Sonates brillantes pour Pianoforte avec accompagnement de Violon: No.2 B-Dur
No full textB-Dur op.16:
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
Gebäude in der König-Str. 62 B in Kassel
No full textGEBÄUDE IN DER KÖNIG-STR. 62 B IN KASSEL
Gebäude in der König-Str. 62 B in Kassel (1
Miscellaneous -- 1959-62 -- Correspondence, Toxoplasmosis -- letter, 1961-05-19
No full textLetter from Ries, Helmut to Sabin, Albert B. dated 1961-05-19.Sabin Collection Fair Use Policy</a
KG2Tables: A Domain-Specific Tabular Data Generator to Evaluate Semantic Table Interpretation Systems
No full textTabular data, often in the form of CSV files, plays a pivotal role in data analytics pipelines. Understanding this data semantically, known as Semantic Table Interpretation (STI), is crucial but poses challenges due to several factors such as the ambiguity of labels. As a result, STI has gained increasing attention from the community in the past few years. Evaluating STI systems requires well-established benchmarks. Most of the existing large-scale benchmarks are derived from general domain sources and focus on ambiguity, while domain-specific benchmarks are relatively small in size. This paper introduces KG2Tables, a framework that can construct domain-specific large-scale benchmarks from a Knowledge Graph (KG). KG2Tables leverages the internal hierarchy of the relevant KG concepts and their properties. As a proof of concept, we have built large datasets in the food, biodiversity, and biomedical domains. The resulting datasets, tFood, tBiomed, and tBiodiv, have been made available for the public in the ISWC SemTab challenge (2023 and 2024 editions). We include the evaluation results of top-performing STI systems using tFood Such results underscore its potential as a robust evaluation benchmark for challenging STI systems. We demonstrate the data quality level using a samplebased approach for the generated benchmarks including, for example, realistic tables assessment. Nevertheless, we provide an extensive discussion of KG2Tables explaining how it could be used to create other benchmarks from any domain of interest and including its key features and limitations with suggestions to overcome them
Dispelling the Myths Behind First-author Citation Counts
No full textWe 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
Automatisierung dienstorientierten Rechnens durch semantische Dienstbeschreibungen
No full textDienstorientierte Architekturen werden ihr volles Potenzial nur dann entfalten können, wenn es gelingt, Dienste fallweise und zur Laufzeit einzubinden. Hierdurch entstünde eine weitaus robustere und besser an den Kontext angepasste Architektur, da ungeeignete Dienstgeber dynamisch ausgetauscht werden könnten. Ziel der Arbeit war daher die Schaffung einer semantischen Dienstbeschreibungssprache, die als Grundlage für eine solche Dienstnutzung dienen kann
Progressor: Social navigation support through open social student modeling
No full textThe increased volumes of online learning content have produced two problems: how to help students to find the most appropriate resources and how to engage them in using these resources. Personalized and social learning have been suggested as potential ways to address these problems. Our work presented in this paper combines the ideas of personalized and social learning in the context of educational hypermedia. We introduce Progressor, an innovative Web-based tool based on the concepts of social navigation and open student modeling that helps students to find the most relevant resources in a large collection of parameterized self-assessment questions on Java programming. We have evaluated Progressor in a semester-long classroom study, the results of which are presented in this paper. The study confirmed the impact of personalized social navigation support provided by the system in the target context. The interface encouraged students to explore more topics attempting more questions and achieving higher success rates in answering them. A deeper analysis of the social navigation support mechanism revealed that the top students successfully led the way to discovering most relevant resources by creating clear pathways for weaker students. © 2013 Taylor and Francis Group, LLC
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