diff --git a/src/app/ui/footer/footer.component.html b/src/app/ui/footer/footer.component.html
index f85afa1..a541621 100644
--- a/src/app/ui/footer/footer.component.html
+++ b/src/app/ui/footer/footer.component.html
@@ -1 +1 @@
-BoK Last updated : 15/04/2019
+BoK last update : 23/04/2019
diff --git a/src/assets/js/bok_visualization.js b/src/assets/js/bok_visualization.js
index 7edbcd7..b98fd46 100755
--- a/src/assets/js/bok_visualization.js
+++ b/src/assets/js/bok_visualization.js
@@ -30,7 +30,6 @@ showMoreLess = function () {
moreButton.innerHTML = "show more...";
}
;
-
}
;
};
@@ -221,9 +220,10 @@ displayConcept = function (d, namehash) {
//display description of concept.
var description = document.getElementById("description");
if (d.description != null) {
+ var timeFormat = " Last Updated: " + new Date(d.timestamp).toUTCString() + "
";
var headline = "
Description:
";
var currentTxt = "" + d.description + "
";
- description.innerHTML = headline + currentTxt;
+ description.innerHTML =timeFormat + headline + currentTxt;
var current = document.getElementById("currentDescription");
//insert 'more'-buttons:
diff --git a/src/assets/xml/saved-bok.xml b/src/assets/xml/saved-bok.xml
index c0f4165..8726d6f 100644
--- a/src/assets/xml/saved-bok.xml
+++ b/src/assets/xml/saved-bok.xml
@@ -5,259 +5,302 @@
xmlns:gin2k="http://www.bigknowledge.net/ontos/gin2k"
xmlns:xsd="http://www.w3.org/2001/XMLSchema">
+ Revision="5"
+ TimeStamp="2019-04-18T19:53:06-05:00"/>
+ Revision="5"
+ TimeStamp="2019-04-18T19:54:07-05:00"/>
+ Revision="5"
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+ Revision="6"
+ TimeStamp="2019-04-19T15:58:20-05:00"/>
+ Revision="5"
+ TimeStamp="2019-04-19T15:59:00-05:00"/>
+ Revision="6"
+ TimeStamp="2019-04-19T15:59:34-05:00"/>
+ Revision="5"
+ TimeStamp="2019-04-19T15:57:12-05:00"/>
+ Revision="6"
+ TimeStamp="2019-04-19T16:21:34-05:00"/>
+ Revision="5"
+ TimeStamp="2019-04-19T16:22:01-05:00"/>
+ Revision="6"
+ TimeStamp="2019-04-19T16:39:26-05:00"/>
+ Revision="6"
+ TimeStamp="2019-04-19T16:40:12-05:00"/>
+ Revision="5"
+ TimeStamp="2019-04-19T16:40:47-05:00"/>
+ Revision="7"
+ TimeStamp="2019-04-19T16:41:26-05:00"/>
+ Revision="6"
+ TimeStamp="2019-04-19T16:41:59-05:00"/>
+ Revision="5"
+ TimeStamp="2019-04-19T16:21:07-05:00"/>
+ Revision="5"
+ TimeStamp="2019-04-19T16:43:13-05:00"/>
+ Revision="5"
+ TimeStamp="2019-04-19T16:43:40-05:00"/>
+ Revision="4"
+ TimeStamp="2019-04-19T16:44:29-05:00"/>
+ Revision="5"
+ TimeStamp="2019-04-19T16:44:56-05:00"/>
+ Revision="4"
+ TimeStamp="2019-04-19T16:42:46-05:00"/>
+ Revision="2"
+ TimeStamp="2019-04-19T16:03:38-05:00"/>
+
+ Revision="2"
+ TimeStamp="2019-04-19T16:06:43-05:00"/>
+
+ Revision="2"
+ TimeStamp="2019-04-19T16:05:47-05:00"/>
+
+ Revision="8"
+ TimeStamp="2019-04-19T16:04:48-05:00"/>
+ Revision="7"
+ TimeStamp="2019-04-19T16:04:06-05:00"/>
+ Revision="7"
+ TimeStamp="2019-04-19T16:07:22-05:00"/>
+ Revision="11"
+ TimeStamp="2019-04-19T16:02:55-05:00"/>
+ Revision="2"
+ TimeStamp="2019-04-19T16:17:37-05:00"/>
+
+
+ TimeStamp="2019-04-19T16:18:44-05:00"/>
+ Revision="6"
+ TimeStamp="2019-04-19T16:18:39-05:00"/>
+
+ TimeStamp="2019-04-19T16:17:15-05:00"/>
+ Revision="5"
+ TimeStamp="2019-04-19T16:17:07-05:00"/>
+ Revision="4"
+ TimeStamp="2019-04-18T19:51:53-05:00"/>
+ Revision="5"
+ TimeStamp="2019-04-19T12:30:38-05:00"/>
+ PrefLabel="Structured Query Language %28SQL%29 and attribute queries"
+ Revision="4"
+ TimeStamp="2019-04-19T12:29:06-05:00"/>
+ Revision="5"
+ TimeStamp="2019-04-19T12:29:39-05:00"/>
+ Revision="4"
+ TimeStamp="2019-04-19T12:26:17-05:00"/>
+ Revision="4"
+ TimeStamp="2019-04-19T12:38:50-05:00"/>
+ Revision="5"
+ TimeStamp="2019-04-19T12:37:55-05:00"/>
+ Revision="4"
+ TimeStamp="2019-04-19T12:39:15-05:00"/>
+ Revision="5"
+ TimeStamp="2019-04-19T12:39:49-05:00"/>
+ Revision="6"
+ TimeStamp="2019-04-19T12:40:20-05:00"/>
+ Revision="5"
+ TimeStamp="2019-04-19T12:40:51-05:00"/>
+ Revision="3"
+ TimeStamp="2019-04-19T12:36:51-05:00"/>
-
+ Revision="5"
+ TimeStamp="2019-04-19T13:45:37-05:00"/>
+
+ PrefLabel="Overlay"
+ Revision="2"
+ TimeStamp="2019-04-19T13:48:16-05:00"/>
+ PrefLabel="Overlay"
+ Revision="8"
+ TimeStamp="2019-04-19T13:48:10-05:00"/>
+
+
+ Revision="6"
+ TimeStamp="2019-04-19T13:43:09-05:00"/>
+ Revision="5"
+ TimeStamp="2019-04-19T14:06:25-05:00"/>
+ Revision="6"
+ TimeStamp="2019-04-19T14:07:01-05:00"/>
+ Revision="6"
+ TimeStamp="2019-04-19T14:07:32-05:00"/>
+ Revision="6"
+ TimeStamp="2019-04-19T13:52:41-05:00"/>
+ Revision="4"
+ TimeStamp="2019-04-19T13:53:46-05:00"/>
+ Revision="7"
+ TimeStamp="2019-04-19T14:04:13-05:00"/>
+ Revision="5"
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+ Revision="6"
+ TimeStamp="2019-04-19T14:05:45-05:00"/>
+ Revision="6"
+ TimeStamp="2019-04-19T14:31:37-05:00"/>
+ Revision="6"
+ TimeStamp="2019-04-19T14:32:24-05:00"/>
+ Revision="6"
+ TimeStamp="2019-04-19T14:32:56-05:00"/>
+ Revision="6"
+ TimeStamp="2019-04-19T14:33:28-05:00"/>
+ Revision="6"
+ TimeStamp="2019-04-19T14:33:56-05:00"/>
+ Revision="6"
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+ Revision="5"
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+ Revision="5"
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+ Revision="5"
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+ Revision="5"
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+ Revision="5"
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+ Revision="5"
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+ Revision="6"
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+ Revision="5"
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+ Revision="5"
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+ Revision="4"
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+ Revision="5"
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+ Revision="5"
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+ Revision="6"
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+ Revision="5"
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+ Revision="5"
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+ Revision="4"
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+ Revision="6"
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+ Revision="8"
+ TimeStamp="2019-04-19T20:01:49-05:00"/>
+ Revision="5"
+ TimeStamp="2019-04-19T20:11:29-05:00"/>
+ Revision="6"
+ TimeStamp="2019-04-19T20:08:00-05:00"/>
+ Revision="5"
+ TimeStamp="2019-04-19T20:08:20-05:00"/>
+ Revision="6"
+ TimeStamp="2019-04-19T19:55:57-05:00"/>
+ Revision="7"
+ TimeStamp="2019-04-19T20:13:08-05:00"/>
+ Revision="6"
+ TimeStamp="2019-04-19T20:13:45-05:00"/>
+ Revision="5"
+ TimeStamp="2019-04-19T20:14:07-05:00"/>
+ Revision="8"
+ TimeStamp="2019-04-19T20:14:28-05:00"/>
+ Revision="2"
+ TimeStamp="2019-04-19T20:12:49-05:00"/>
+
-
+ Revision="7"
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+ Revision="8"
+ TimeStamp="2019-04-19T20:06:53-05:00"/>
+ TimeStamp="2019-04-19T19:58:34-05:00"/>
-
+ Revision="7"
+ TimeStamp="2019-04-19T20:00:52-05:00"/>
+ TimeStamp="2019-04-19T19:55:06-05:00"/>
-
+ Revision="6"
+ TimeStamp="2019-04-19T20:09:06-05:00"/>
+ TimeStamp="2019-04-19T20:09:41-05:00"/>
-
+ Revision="8"
+ TimeStamp="2019-04-19T20:10:05-05:00"/>
+ Revision="9"
+ TimeStamp="2019-04-19T20:10:31-05:00"/>
+
+ Revision="5"
+ TimeStamp="2019-04-19T19:52:12-05:00"/>
+ Revision="4"
+ TimeStamp="2019-04-19T19:53:33-05:00"/>
+
+ Revision="10"
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+
+ Revision="7"
+ TimeStamp="2019-04-19T19:51:35-05:00"/>
+ Revision="7"
+ TimeStamp="2019-04-19T20:15:14-05:00"/>
+ Revision="6"
+ TimeStamp="2019-04-19T20:15:32-05:00"/>
+ Revision="6"
+ TimeStamp="2019-04-19T20:14:57-05:00"/>
+ Revision="7"
+ TimeStamp="2019-04-19T19:50:18-05:00"/>
-
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-
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+ Revision="5"
+ TimeStamp="2019-04-17T07:46:10-05:00"/>
-
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+ Revision="5"
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+ Revision="5"
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+ Revision="5"
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+ Revision="5"
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+ Revision="4"
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+ Revision="5"
+ TimeStamp="2019-04-17T11:58:21-05:00"/>
+ Revision="4"
+ TimeStamp="2019-04-17T11:54:08-05:00"/>
+ Revision="4"
+ TimeStamp="2019-04-17T11:54:40-05:00"/>
+ Revision="4"
+ TimeStamp="2019-04-17T11:55:16-05:00"/>
+ Revision="4"
+ TimeStamp="2019-04-17T11:55:48-05:00"/>
+ Revision="8"
+ TimeStamp="2019-04-17T11:58:37-05:00"/>
+ Revision="4"
+ TimeStamp="2019-04-17T11:59:38-05:00"/>
+ Revision="4"
+ TimeStamp="2019-04-17T12:00:08-05:00"/>
+ Revision="4"
+ TimeStamp="2019-04-17T12:00:24-05:00"/>
+ Revision="4"
+ TimeStamp="2019-04-17T12:00:36-05:00"/>
+ Revision="5"
+ TimeStamp="2019-04-17T12:01:01-05:00"/>
+ Revision="5"
+ TimeStamp="2019-04-17T12:01:21-05:00"/>
+ Revision="4"
+ TimeStamp="2019-04-17T12:01:34-05:00"/>
+ Revision="5"
+ TimeStamp="2019-04-17T11:59:19-05:00"/>
+ Revision="2"
+ TimeStamp="2019-04-17T12:02:14-05:00"/>
+
+
+
+
+
+ Revision="3"
+ TimeStamp="2019-04-17T11:38:01-05:00"/>
+ Revision="3"
+ TimeStamp="2019-04-17T11:46:29-05:00"/>
+
+ Revision="4"
+ TimeStamp="2019-04-17T11:45:22-05:00"/>
+ TimeStamp="2019-04-17T11:43:32-05:00"/>
+ Revision="3"
+ TimeStamp="2019-04-17T11:46:09-05:00"/>
+
+ Revision="5"
+ TimeStamp="2019-04-17T11:53:00-05:00"/>
+
+ Revision="6"
+ TimeStamp="2019-04-17T12:03:41-05:00"/>
+
+
+ Revision="3"
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+ Revision="5"
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+ Revision="5"
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-
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+ URI="http://www.bigknowledge.net/ontos/gin2k#GC3-4_Pattern_recognition_rev6"
+ Definition="Pattern recognition is the process of classifying input data into objects or classes based on key features. There are two classification methods in pattern recognition: supervised and unsupervised classification. The supervised classification of input data in the pattern recognition method uses supervised learning algorithms that create classifiers based on training data from different object classes. The classifier then accepts input data and assigns the appropriate object or class label. The unsupervised classification method works by finding hidden structures in unlabelled data using segmentation or clustering techniques. Common unsupervised classification methods include: K-means clustering, Gaussian mixture models, Hidden Markov models. The aim of the topic is to provide knowledge about the different methods in pattern recognition and how to choose the optimum method for a specific spatial problem."
+ Notation="GC3-4"
+ PrefLabel="Pattern recognition"
+ Revision="6"
+ TimeStamp="2019-04-12T10:47:52-05:00"/>
+ URI="http://www.bigknowledge.net/ontos/gin2k#GC3-5_Spatio-temporal_knowledge_discovery_and_data_mining_rev7"
+ Definition="Understanding natural and human-induced structures and processes in space and
time has long been the agenda of geographical research. Through theoretical and experimental studies, geographers have accumulated a wealth of knowledge about our physical and man-made world over the years. Knowledge is often discovered through critical observations of phenomena in space and time. Due to the rapidly expanding amount of data and information the problem is often not having enough data but having too much and too complex a database. The aim of the topic is to provide insight into several methods to carry out spatio-temporal knowledge discovery through spatial data mining and clustering techniques."
+ Notation="GC3-5"
+ PrefLabel="Spatio-temporal knowledge discovery and data mining"
+ Revision="7"
+ TimeStamp="2019-04-12T11:15:23-05:00"/>
+ URI="http://www.bigknowledge.net/ontos/gin2k#GC3-6_Big_data_filtering_rev5"
+ Definition="Data-intensive computing is now starting to be considered as the basis for a new,
fourth paradigm for science. Two factors are encouraging this trend. First, vast
amounts of data are becoming available in more and more application areas.
Second, the infrastructures allowing to persistently store these data for sharing and
processing are becoming a reality. The technical and scientific issues related to this context have been designated as `Big Data` challenges and have been identified as highly strategic by major research agencies. The aim of this topic is to introduce Big Data as a concept, and the needed methods to navigate through the vast amount of heterogeneous information."
+ Notation="GC3-6"
+ PrefLabel="Big data filtering"
+ Revision="5"
+ TimeStamp="2019-04-17T08:53:54-05:00"/>
+ URI="http://www.bigknowledge.net/ontos/gin2k#GC3-6_rev2"
+ Notation="GC3-6"
+ Revision="2"
+ TimeStamp="2016-05-26T15:59:03-05:00"/>
+
+
+ TimeStamp="2019-04-17T10:11:07-05:00"/>
+
+ Revision="5"
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+ PrefLabel="Land surveying and field data collection"
+ Revision="2"
+ TimeStamp="2019-04-17T08:51:55-05:00"/>
+
+ Revision="6"
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+ Revision="9"
+ TimeStamp="2019-04-17T08:51:13-05:00"/>
+ Revision="5"
+ TimeStamp="2019-04-17T08:52:35-05:00"/>
+
+
+
+ PrefLabel="Data Quality, Metadata and Data Infrastructure"
+ Revision="4"
+ TimeStamp="2019-04-17T15:45:18-05:00"/>
+ TimeStamp="2019-04-17T10:21:33-05:00"/>
+ Revision="2"
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+ Revision="2"
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+ Revision="2"
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+ Revision="2"
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+ Revision="2"
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+ Revision="2"
+ TimeStamp="2019-04-17T15:39:02-05:00"/>
+ Revision="8"
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+ Revision="5"
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+ Revision="3"
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