1,278 research outputs found
An Analytical Study of Large SPARQL Query Logs
With the adoption of RDF as the data model for Linked Data and the Semantic
Web, query specification from end- users has become more and more common in
SPARQL end- points. In this paper, we conduct an in-depth analytical study of
the queries formulated by end-users and harvested from large and up-to-date
query logs from a wide variety of RDF data sources. As opposed to previous
studies, ours is the first assessment on a voluminous query corpus, span- ning
over several years and covering many representative SPARQL endpoints. Apart
from the syntactical structure of the queries, that exhibits already
interesting results on this generalized corpus, we drill deeper in the
structural char- acteristics related to the graph- and hypergraph represen-
tation of queries. We outline the most common shapes of queries when visually
displayed as pseudographs, and char- acterize their (hyper-)tree width.
Moreover, we analyze the evolution of queries over time, by introducing the
novel con- cept of a streak, i.e., a sequence of queries that appear as
subsequent modifications of a seed query. Our study offers several fresh
insights on the already rich query features of real SPARQL queries formulated
by real users, and brings us to draw a number of conclusions and pinpoint
future di- rections for SPARQL query evaluation, query optimization, tuning,
and benchmarking
Exploration of Large-Scale SPARQL Query Collections : Finding Structure and Regularity for Optimizing Database Systems
A note on obstinate tachyons in classical dS solutions
The stabilisation of the dilaton and volume in tree-level flux
compactifications leads to model independent and thus very powerful existence
and stability criteria for dS solutions. In this paper we show that the sizes
of cycles wrapped by orientifold planes are scalars whose scalings in the
potential are not entirely model independent, but enough to entail strong
stability constraints. For all known dS solutions arising from massive IIA
supergravity flux compactifications on SU(3)-structure manifolds the tachyons
are exactly within the subspace spanned by the dilaton, the total volume and
the volumes of the orientifold cycles. We illustrate this in detail for the
well-studied case of the O6 plane compactification on SU(2)xSU(2)/Z_2xZ_2. For
that example we uncover another novel structure in the tachyon spectrum: the dS
solutions have a singular, but supersymmetric, Minkowski limit, in which the
tachyon exactly aligns with the sgoldstino.Comment: 22 pages; v2: added references, minor change
MOA: Massive Online Analysis, a framework for stream classification and clustering.
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal with the challenging problem of scaling up the implementation of state of the art algorithms to real world dataset sizes. It contains collection of offline and online for both classification and clustering as well as tools for evaluation. In particular, for classification it implements boosting, bagging, and Hoeffding Trees, all with and without Naive Bayes classifiers at the leaves. For clustering, it implements StreamKM++, CluStream, ClusTree, Den-Stream, D-Stream and CobWeb. Researchers benefit from MOA by getting insights into workings and problems of different approaches, practitioners can easily apply and compare several algorithms to real world data set and settings. MOA supports bi-directional interaction with WEKA, the Waikato Environment for Knowledge Analysis, and is released under the GNU GPL license
PEER RATINGS AND ASSESSMENT QUALITY IN CROWD-BASED INNOVATION PROCESSES
Social networks â whether public or in enterprises â regularly ask users to rate their peersâ content using different voting techniques. When employed in innovation challenges, these rating procedures are part of an open, interactive, and continuous engagement among customers, employees, or citizens. In this regard, assessment accuracy (i.e., correctly identifying good and bad ideas) in crowdsourced eval-uation processes may be influenced by the display of peer ratings. While it could sometimes be useful for users to follow their peers, it is not entirely clear under which circumstances this actually holds true. Thus, in this research-in-progress article, we propose a study design to systematically investigate the effect of peer ratings on assessment accuracy in crowdsourced idea evaluation processes. Based on the elaboration likelihood model and social psychology, we develop a research model that incorporates the mediating factors extraversion, locus of control, as well as peer rating quality (i.e., the ratingsâ corre-lation with the evaluated contentâs actual quality). We suggest that the availability of peer ratings de-creases assessment accuracy and that rating quality, extraversion, as well as an internal locus of control mitigate this effect
Senior Citizen Day Celebration to be Held at University of Dayton
News release announces that Senior Citizens Day will be held at the University of Dayton
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