Tag Archives: skossy

Andreas Blumauer

PoolParty Thesaurus Manager 3.1 with auto-population feature was presented at SemTechBiz 2012 in San Francisco

by , Category: Conferences & Events, Linked Data & Open Data, Text Mining, Tools & Software

A new PoolParty Thesaurus Manager (PPT) release was presented at this year´s Semantic Technology & Business Conference in San Francisco: Version 3.1.0 is a major release offering lots of great new funcitionalities and improvements including auto-population of thesauri and linked data knowledge models.

The main new features are:

  • Autopopulation of Thesauri from DBpedia
    The Skossy functionality has been integrated into PPT. You can assign DBpedia categories to concepts and then autopopulate your thesaurus based on data from DBpedia.

  • Linked Data Based Synonym and Translation Service
    You can add labels (pref, alt, hidden) to the concepts of your thesaurus based on suggestions for synonyms and translations provided by data from DBpedia.

  • ADMS Description for Projects
    Metadata for PoolParty projects can now be published according to the Asset Description Metadata Schema (ADMS) developed by the joinup project of the European Union.

  • Windows Theme
    A new theme has been added based on the Windows GUI guidelines.

Andreas Koller from Semantic Web Company: “SemTechBiz 2012 was a great success for us, we had a lot of talks with people from various industries at our booth. Demonstrating how building knowledge models on top of linked data sources can improve text mining for example, attracted wide interest. We enjoyed the whole conference, the location and the support from the organization team.”

To get an overview over all changes made in Release 3.1.0 take a look at the Release Notes.

Andreas Blumauer

Automatic text analytics using DBpedia and PoolParty – A Live Demo

by , Category: Linked Data & Open Data, Semantic Web Applications, Text Mining, Tools & Software

Let me show you which steps have to be taken to generate a high-quality text mining application, ready to be used to annotate and to categorize any kind of text or documents covering nearly any domain. With our approach of thesaurus based text mining your documents can also be linked to the world of linked (open) data; enrich your documents with data from the LOD cloud!

Step 1. Generate a thesaurus by using a linked data source like DBpedia

As recently reported SWC has developed a tool called SKOSsy which can be used to extract seed thesauri from DBpedia. In our example I will generate a knowledge model describing the domain of “digital photography“. This step took around 15 minutes.

Step 2. Load the thesaurus into PoolParty and improve it to your needs

After the seed thesaurus has been loaded into PoolParty Thesaurus Manager you have many possibilities to enhance the knowledge model further: Add more categories, synonyms, relations etc. In this example I use the seed-thesaurus without any further improvements. This step took approximately 2 minutes.

Step 3. Generate an automatic text extractor on top of your thesaurus

This step took a couple of seconds and ended up in having generated a fast and reliable text mining application on top of PoolParty Extractor, ready to be used to enrich your documents with data from the LOD cloud.

You can try it out here: PPX Live-Demo

To try the extractor on your own, please take a look at the image above which shows a proper configuration, you have to insert the following UUID in the form: d35d4ddb-adc3-4ea5-b027-deacac03e391

Since our example is all about ‘digital photography’, we recommend to use text samples (or some fragments) like these ones to test the quality of PPX based text analytics:

Let us know what you think about this straight-forward approach and your opinion about the quality of the results. We believe that thesaurus based text mining is in many cases an alternative to some other approaches, especially if you want to to enrich your content with information from the upcoming web of data.

Of course we would be happy to generate other demos in the areas of your interest! Just get in contact with us by using our contact form.

Andreas Blumauer

WordPress plugin to make use of linked data

by , Category: Tools & Software

PoolParty Team has recently published an improved version of their WordPress plugin which enables linked data enrichments of blogs. Therefore a SKOS based vocabulary has to be uploaded or retrieved from a SPARQL-endpoint. Users and developers benefit from

  • automatic annotation of all blog entries displayed as tooltips
  • a comfortable search facility with auto-complete over all concepts from the linked thesaurus including semantic search over the whole blog
  • an integrated thesaurus browser, plus
  • a corresponding linked data frontend including RDF/XML serialization of the underlying thesaurus + SPARQL endpoint

All details about the new version 2.2.3 can be read here.

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