moyuan5989/polar.usc.edu

Polar USC activities related to NSF Polar CyberInfrastructure program.

polar-deep-search

#####Project Description JPL and USC under the direction of Dr. Mattmann have worked to collect a corpus of “deep web” polar datasets spanning many file types, scientific data, images, videos, and other information on the Web. These pieces of data were collected using Apache Nutch, Apache Tika, and Apache Solr.

Right now, though the data has been collected, it has not been synthesized into a core website allowing Deep Search - ultimately the goal of this project is to construct such a web site using modern information retrieval technologies including Nutch, Tika and Solr, along with Banana, Facetview, and D3.js. The goal is to create http://polar.usc.edu and to use this website to demonstrate value to the NSF, to USC, and to NASA.

Polar Deep Search Engine for CSCI401 Capstone

Related Repos

• solr-enrich - python scripts for extracting metadata from text content of solr documents

####Set up

######Maven

You will need to install Maven if you do not have it already.

https://maven.apache.org/

For mac, if you have homebrew:

brew install maven

######Install static dependencies

npm install

bower install or node_modules/.bin/bower install

You need to place static dependencies in resources:

cp bower_components/startbootstrap-scrolling-nav/css src/main/resources/edu/usc/polar/

cp bower_components/startbootstrap-scrolling-nav/js src/main/resources/edu/usc/polar/

cp bower_components/startbootstrap-scrolling-nav/fonts src/main/resources/edu/usc/polar/

######Start command:

From the root directory, run:

mvn jetty:run

or

mvn tomcat7:run

Then navigate to http://localhost:8080

Indexing to Solr from Team Project Submission

Downloading the directory of a team's submission from the Amazon S3 bucket, you likely will end up with something like this:

├── TeamX/
│   ├── cca
│   ├── raw
│   │   ├── crawldb
│   │   ├── linkdb
│   │   ├── segments

When one performs a Nutch crawl, the data is stored in crawldb, linkdb, and segments. This data can be indexed into Solr and viewed in a Banana dashboard. Wooh!

Version Info

For reference, the versions I'm using are as follows:

• Solr 4.4.0
• Nutch 1.10 or 1.11 (don't remember, my downloads folder tells me 1.11 but my notes say 1.10-trunk as per the CS572 Assigment)
• Banana 1.5

Putting it all together

Solr

For me, Solr is at ~/solr-4.4.0/solr (i.e. the internal solr directory); this is what I'll refer to as $SOLR_HOME. In $SOLR_HOME to build a directory of the example set-up at $SOLR_HOME/example:

ant example

Navigate to that $SOLR_HOME/example. To run the example:

java -jar start.jar

Then navigate to http://localhost:8983/solr to bring you to the admin page where you can manage collections. Cool!

+ Banana

Adding Banana to Solr is quick and easy, as outlined in the README on it's Github page. The following two instructions are taken directly from there, for the versions mentioned here:

• Copy banana folder to $SOLR_HOME/example/solr-webapp/webapp/
• Browse to http://localhost:8983/solr/banana/src/index.html

More about this in relation to the Wicket project in the notes at the bottom.

+ Nutch

For basic knowledge of how to use Nutch, the tutorial is very effective. Go through the example there. It also covers a bit of incorporation with Solr.

As metioned earlier, and as you can see from performing the example crawl, the data is stored in crawl/crawldb, crawl/linkdb, and crawl/segments. Indexing this data to Solr is easy (as you can see from the example); it just requires moving this stuff into your ${NUTCH_HOME}/crawl directory (or some other working directory with Nutch in there).

Then run the commands:

bin/nutch invertlinks crawl/linkdb -dir crawl/segments
bin/nutch solrindex http://localhost:8983/solr crawl/crawldb/ -linkdb crawl/linkdb/ crawl/segments/* -filter -normalize

Now in theory the data should be indexed into Solr and viewable in the Banana dashboard

Notes:

As the Nutch tutorial says, Solr's and Nutch's schema.xmls must match. Additionally, if you navigate to the Banana dashboard, the default widgets may give you a message saying event_timestamp is not defined. I ran into this issue because schema.xml from Nutch defined the timestamp value as tstamp, while Banana is expecting it to be called event_timestamp.

You can configure it how I did by changing the variable name to event_timestamp in Solr's schema.xml and updating ${NUTCH_HOME}/conf/solrindex-mapping.xml to map tstamp to event_timestamp (don't do this it's not necessary save yourself headaches)

OR

In the Banana dashboard just configure the name of the field the widgets should be querying (the cog icon at the top of each panel).

In relation to our Wicket project, Banana is already placed in the project's webapp folder (src/main/webapp). You can see the same results of the Banana dashboard at http://localhost:8080/banana/#/dashboard when you start the tomcat/jetty server.

Pushing to gh-pages

Here's a straightforward guide to adding things to the static github page:

• Checkout the gh-pages branch
• Modify whatever files you want to
• Commit and push to origin gh-pages

That's it.

Where you have to change solr url on polardeploy

Banana dashboard json configurations

Banana's config.js

Facetviews index.html