72 research outputs found
Discovering Implicational Knowledge in Wikidata
Knowledge graphs have recently become the state-of-the-art tool for
representing the diverse and complex knowledge of the world. Examples include
the proprietary knowledge graphs of companies such as Google, Facebook, IBM, or
Microsoft, but also freely available ones such as YAGO, DBpedia, and Wikidata.
A distinguishing feature of Wikidata is that the knowledge is collaboratively
edited and curated. While this greatly enhances the scope of Wikidata, it also
makes it impossible for a single individual to grasp complex connections
between properties or understand the global impact of edits in the graph. We
apply Formal Concept Analysis to efficiently identify comprehensible
implications that are implicitly present in the data. Although the complex
structure of data modelling in Wikidata is not amenable to a direct approach,
we overcome this limitation by extracting contextual representations of parts
of Wikidata in a systematic fashion. We demonstrate the practical feasibility
of our approach through several experiments and show that the results may lead
to the discovery of interesting implicational knowledge. Besides providing a
method for obtaining large real-world data sets for FCA, we sketch potential
applications in offering semantic assistance for editing and curating Wikidata
Synthetizing Qualitative (Logical) Patterns for Pedestrian Simulation from Data
This work introduces a (qualitative) data-driven framework
to extract patterns of pedestrian behaviour and synthesize Agent-Based
Models. The idea consists in obtaining a rule-based model of pedestrian
behaviour by means of automated methods from data mining. In order to
extract qualitative rules from data, a mathematical theory called Formal
Concept Analysis (FCA) is used. FCA also provides tools for implicational
reasoning, which facilitates the design of qualitative simulations
from both, observations and other models of pedestrian mobility. The
robustness of the method on a general agent-based setting of movable
agents within a grid is shown.Ministerio de EconomĂa y Competitividad TIN2013-41086-
Zur Belastungsstatistik der Durchschnittsbevölkerung: Psychosenhäufigkeit unter 1000 stichprobenmäßig aus den Geburtsregistern der Stadt München (Jahrgang 1881–1890) ausgelesenen Probanden
Intelligent structuring and reducing of association rules with formal concept analysis
Colloque avec actes et comité de lecture. internationale.International audienceAssociation rules are used to investigate large databases. The analyst is usually confronted with large lists of such rules and has to find the most relevant ones for his purpose. Based on results about knowledge representation within the theoretical framework of Formal Concept Analysis, we present relatively small bases for association rules from which all rules can be deduced. We also provide algorithms for their calculation
Multitouch Experiment Instruction for a Better Learning Outcome in Chemistry Education
Multitouch Experiment Instructions (MEI) are interactive multimedia eBooks as a full-digital or Augmented Reality (AR) Instructions as a digital-augmented material for the individual promotion of learning while experimenting in chemistry lessons. They provide a digitized experimental instruction, which is made to support both cognitive weak and strong pupils in the sense of individualization. The aim of the MEI project is to improve pupil’s self-regulated learning using a digitized experimental manual which is based to main results of didactic and scientific learning. Initial research results have shown that the presentation of information follows a structured learning process. To connect the promotion of self-regulated learning, digital competences and experimental skills an existing experiment “Characterization of Alkanes” has been digitalized as one Multitouch Experiment Instruction
Psychic trauma causing grossly reduced brain metabolism and cognitive deterioration
Markowitsch HJ, Kessler J, Van der Ven C, Weber-Luxenburger G, Albers M, Heiss WD. Psychic trauma causing grossly reduced brain metabolism and cognitive deterioration. NEUROPSYCHOLOGIA. 1998;36(1):77-82.While amnesia and other cognitive disturbances are usually caused by structural brain damage, there are a few instances in which environmental Stress may induce neuronal death in memory-sensitive brain regions such as the hippocampus. Here we report on a patient who, after a single brief exposure to an event reminding him of a similar stressful event from his childhood, deteriorated immediately and persistently without manifesting structural, but manifesting functional, brain damage as measured by position emission tomography. This patient probably represents the first case in which a direct relation between a single psychic event and the occurrence of brain malfunctioning in cognition is documented by dynamic neuroimaging methods. Psychic shock may cause lasting reductions in brain metabolism with the consequence of severe intellectual malfunctioning. (C) 1998 Elsevier Science Ltd. All rights reserved
- …