Merken

Dynamic analysis, reporting and visualization of metadata catalogue

Zitierlink des Filmsegments
Embed Code

Automatisierte Medienanalyse

Beta
Erkannte Entitäten
Sprachtranskript
he the distance so many the surface of the new
and you can learn better management solutions that are related to interact with and so so that that that that that organism that under each year this and that the system was the eighties talk about a solution to a decision support system and to follow a what is happening that their catalogs based on to use case running
as in space and attitude in Europe uh which is babies uh and investiture for all the 28 member states with different languages and so on uh as a celebrity broth made by each Member States or do you get information users and evaluate has been a shift of the data if you uh and this 1 was politics
that use in the Mediterranean Sea area uh about uh evaluating observation system for a different type of Genji is and I queen from and but phonics the and predicted areas as was maybe really is to
collect information from different sources description of the works of that as it says maps analyzed uh this content and the word to euros to apply decision triple so in the case of the in space and
they again uh basis and and is assigned to a source information as the 1st 1 is monitoring the made by the Member States around it if we have and you the source isn't that that the song in the context of the diversity of each member state has to set up a couple of tradition and information about that said services and so on they have to
analyzes and do some specificities magnitude ingredients uh and then reporting and so for these we need uh and to be able to collect this information so all this uh this and be able to to search uh in this uh information and then be able to read and and watching suppresses we have been using uh so that the search engine the and further does not pathway been using about another rejects uh and seek which would be rumors inventions as was this was permission the
dead and hazard that their analyzer and observe proves and I will explain our at once so collecting information
in the context of matter that that that it's quite simple graphs is which is a standoff and GC for communication between the and get those who have been using this fall what gets a only that their requests from Member States for example an index as this information so we have been a document that it was assumed to be able to analysts and great quite fast
on the Member States and case of it's a great information all concept here this is a more obscene you and that is uh 200 so that occurrence and this was made it was a project based on coming at that she can and open source of routine engine and once resident
equity then need to do some kind of analysis so that these could be quite fast all simple and some qualitative analysis could take more time and needs to run in program and so on as we have
different types of analysis so the first one is made or when the index information so we collect information from the get those and so it's a 1st step toward the end this is in that some migrant task and after that we can create reports based on uh so many
uh do as a 1st and then uses when it seems that used to and make some which uh and that is not to complex to most of them to the harvesting positioning and mainly based on uh to get that we played by the to lake so our recent and which is used by sort are the for for example we need to
and get energy responded that every goes unhcr deny the source of the disease issues uh in it that I would go so in this case uh discrete should you have uh so parameters Parameter groups of by scenes challenges and what to do this which means that the news by as a that that we use as that that which is and you need to a find a good 1 uh in between words 2 different types of I am going to discredit describe means of to do that as its and services so you have to to give you a uh when uh when you get used to drive the devil is a the to to get a common classification as well when we be when we want to create a report on on some specific fields you can do sign uh and that is for example there we had different languages so if you have uh uh altering magazine regimen to move to the English 1 and deduce from this Linspire finance and so on and you can do this but the type of an analysis so you need to be uh and the same in this mapping feature as a prior for doing this and menstruation as the English point in this case what we're doing which Siemens and can major report on the total different data frequency so this could be easily done by using the such as and makes a lot of work for example and then you got you in some cases you want to do some more advanced than use uh and this needs to be Orion's belt runs to nodes without the elastin process but as fashionable following space that you need to the in the context of the that you you have some guidance from that doesn't that you need to encode and isn't isn't isn't and the Commission's parading the radiation includes there this uh so you have to connect to connect to the solution to the the community and the process for all your 200 thousand equal to it would take sometimes we have that to create some moment as follows that readiness to working on uh interchangeability dependence of example of that is our goal spending to worship file you have to work out the pdfs and you want to be able to to extract contact the condemned from those sorts of information and the idea is to be able to improve the search experience at the end uh for the users and In the continents where so willing to walk on the right and it seems feature also in you is to be able to search and was at the and future and the future of the and try to combine as a tool to also include such an expense then just status would be chained together uh in the in the process so once you have analyzed and you all the content of me that because uh you would be able to to create some birds uh so in the case over the in space and that we choose each Member State needs to people to realize a number of datasets for 1 x wanted to an extreme and the number of components are 7 seasons on to further this as I was walking with uh 200 women uh in Europe and the idea was to do resistant to rape a Member States to easily but every year so that the idea as used to have a set of variables and indicators that you can trade create a for example for the things they are monitoring and reporting rather in which is over datasets all series phones bionics once and then you can use it is is difference by others but to compute uh a summary reflecting what's is in your it's as a you configure it but then you can preview the lizards and they use to skidded or so going to Gates made every year for Member States assigned manually but as repressed in each other from that the DAG and is to be able to do you see in the weeks following the training the that of uh for the 1st reports so once you have an index of intense and let it go to compute indicators of environment of this the that that content as it used to be able to utilize informations and for this and we have been using a a political and and see uh which is working on that of solar on top of the next uh and you can read and that went there have been a few numbers so dead bodies pretty simple it's is a set of rules defined program you can add some rejects and you have a set of different regions available like you uh subscheme feed doing that sits on top of that clouds and maps and so on so you can use the would interface to read those burdens and provision of data and so here for example you have an on the top your research and have a set of features here
those no figuring that out to and some simple graphics yeah and you can create heat maps and you can create a simple semantic maps and so for example use when user and of Franny inspiring the data of work uh and then I to the so to interact with a diversity of bank account and that peak on the charts uh and this week a novel analysis to a subset of a frequent so in this case is a this is present at the project so we have a set of indicators and if you pick here on the now models and a subset your chance or chance to to this the the and so there is a good different different websites as the first one is a given and then uh the use was a European and antigens seems permission uh inspector rebuilt since 2010 that in spite of that well that the you programmer you uh 64 memories frozen it's the good and we could get mentioned the days and that this is not to get an overview of what we dwell too it's mainly based on the side of the index which is the data was made at the antidote because the GRE since the position is known by uh using and a simple applications the same for all of but 1 task uh that you can easily chains and then you have the ban on the main applications and which are general uh based on spring the and I could in future as on the that inside the idea is to be able to as a history of frequent so to be able to 2 artists uh every time you this you keep the computer the previous regret it does Chandra and out of the labor to skin he's so countries a process many of 2 genomes reproductive t the defined generated and then as said in the report to stop teaching the from this as the used to be a word I want to we introduce revert to the experience uh the and seeing which inside a reduced walk refuge future indexing uh and finds a dead relevant to migrate to see which is the exertions of a man the that's it sensed that engine few have any questions but if it is available as an open-source project is at intervals from and it this it's on the tip of kid can assurance against your peace lists of chores which would be the thank the theft of it so it's here the the I don't want to have your carrot library we which Jarvis returning library did you choose as abandonment projected is in Languedoc applications and his shoes industry from the charts maps and the reason the exertion would be the same so the causal relations in the same area the and most of the information on the that they should immediately if listen system right now it is focused on system wrong so concerning issued the association that then use by the look from further on the learning system note that any any name beginning in C uh so it's uh it's just starting to produce useful runs for you which is the European antigens is grounds for uh it uh and presenting a support us as arranged in that you and your surroundings made 84 managers and now in institution for all I was enormously France and the genetic rejects uh you the concern of other countries around the Mediterranean Sea the the we were in the
Metadaten
Selbst organisierendes System
Gasströmung
Online-Katalog
Aggregatzustand
Physikalisches System
Analysis
Computeranimation
Open Source
Datenmanagement
Online-Katalog
Flächentheorie
Verkehrsinformation
Entscheidungsunterstützungssystem
Abstand
Visualisierung
Subtraktion
Formale Sprache
Euler-Winkel
Physikalisches System
Aggregatzustand
Information
Raum-Zeit
Computeranimation
Gruppenkeim
Flächeninhalt
Datentyp
Luenberger-Beobachter
Information
Verschiebungsoperator
Aggregatzustand
Subtraktion
Quellcode
Kontextbezogenes System
Computeranimation
Entscheidungstheorie
Mapping <Computergraphik>
Deskriptive Statistik
Dienst <Informatik>
Entscheidungsunterstützungssystem
Wort <Informatik>
Information
Inhalt <Mathematik>
Aggregatzustand
Umwandlungsenthalpie
Open Source
Framework <Informatik>
Data Analyzer <Programm>
Suchmaschine
Verkehrsinformation
Hasard <Digitaltechnik>
Größenordnung
Information
Analysis
Computeranimation
Telekommunikation
Konfiguration <Informatik>
Prozess <Informatik>
Open Source
Kontextbezogenes System
Computeranimation
Endlicher Graph
Automatische Indexierung
Koroutine
Protokoll <Datenverarbeitungssystem>
Projektive Ebene
Information
Parallele Schnittstelle
Modul
Aggregatzustand
Automatische Indexierung
Subtraktion
Task
Automatische Indexierung
Typentheorie
Datentyp
Information
Optimierung
Analysis
Verkehrsinformation
Computeranimation
Analysis
Prozess <Physik>
Punkt
Momentenproblem
Formale Sprache
Gruppenkeim
Computerunterstütztes Verfahren
Raum-Zeit
Analysis
Computeranimation
Temperaturstrahlung
Parametersystem
Automatische Indexierung
Reihe
Digitalfilter
Quellcode
Kontextbezogenes System
Frequenz
Dialekt
Arithmetisches Mittel
Dienst <Informatik>
Datenfeld
Menge
Rechter Winkel
Generizität
Information
Programmierumgebung
Aggregatzustand
Subtraktion
Wellenpaket
Total <Mathematik>
Ortsoperator
Zahlenbereich
Demoszene <Programmierung>
Knotenmenge
Variable
Task
Datentyp
Zusammenhängender Graph
Inhalt <Mathematik>
Indexberechnung
Optimierung
Analysis
Transformation <Mathematik>
Schlussregel
Gasströmung
Elektronische Publikation
Sichtenkonzept
Quick-Sort
Mapping <Computergraphik>
Energiedichte
Körper <Physik>
Wort <Informatik>
Verkehrsinformation
Streuungsdiagramm
Quelle <Physik>
Web Site
Programmiergerät
Ortsoperator
Kartesische Koordinaten
Computer
Task
Arbeit <Physik>
Informationsmodellierung
Task
Datenmanagement
Programmbibliothek
Vorlesung/Konferenz
Indexberechnung
Metropolitan area network
Analysis
Assoziativgesetz
Relativitätstheorie
Mailing-Liste
Physikalisches System
Teilmenge
Mapping <Computergraphik>
Verkettung <Informatik>
Flächeninhalt
Menge
Automatische Indexierung
Festspeicher
Projektive Ebene
Wort <Informatik>
Information
Verkehrsinformation

Metadaten

Formale Metadaten

Titel Dynamic analysis, reporting and visualization of metadata catalogue
Serientitel FOSS4G Seoul 2015
Autor Prunayre, Francois
Lizenz CC-Namensnennung - keine kommerzielle Nutzung - Weitergabe unter gleichen Bedingungen 3.0 Deutschland:
Sie dürfen das Werk bzw. den Inhalt zu jedem legalen und nicht-kommerziellen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen und das Werk bzw. diesen Inhalt auch in veränderter Form nur unter den Bedingungen dieser Lizenz weitergeben.
DOI 10.5446/32086
Herausgeber FOSS4G
Erscheinungsjahr 2015
Sprache Englisch
Produzent FOSS4G KOREA
Produktionsjahr 2015
Produktionsort Seoul, South Korea

Inhaltliche Metadaten

Fachgebiet Informatik
Abstract More and more geospatial resources (datasets, services, maps, ...) are described in metadata catalogs. Now, users need to be able to get an overview of the resources available (eg. data quality, dissemination formats) for evaluating their data policies. This could be achieve with tools for analyzing and reporting on large sets of information and dynamically compute reports and build dashboards. This presentation will show how to collect information from CSW catalogs, compute reports and indicators and build and publish online dashboards using Solr and banana opensource projects. This will be illustrated by the INSPIRE Directive monitoring in Europe and the MedSea project.

Ähnliche Filme

Loading...