Andreas Blumauer

Improved Customer Experience by use of Semantic Web and Linked Data technologies

With the rise of Linked Data technologies, there come several new approaches into play for the improvement of customer experience across all digital channels of a company. All of these methodologies can be subsumed under the term “the connected customer”.

These are interesting not only for retailers operating a web shop, but also for enterprises seeking for new ways to develop tailor-made customer services and to increase customer retention.

Linked Data methodologies can help to improve several measurements alongside a typical customer experience lifecycle.

  1. vectorstock_4550983Personalized access to information, e.g. to technical documentation
  2. Cross-selling through a better contextualization of product information
  3. Semantically enhanced help desk, user forums and self service platforms
  4. Better ways to understand and interpret a customer intention by use of enterprise vocabularies
  5. More dynamic management of complex multi-channel websites through a better cost-effectiveness
  6. More precise methods for data analytics, e.g. to allow marketers to better target campaigns and content to the user’s preferences
  7. Enhanced search experience at aggregators like Google through the use of microdata and schema.org

In the center of this approach, knowledge graphs work like a ‘linking machine’. Based on standards-based semantic models, business entities are getting linked in a most dynamic way. Those graphs go beyond the power of social graphs. While social graphs are focused on people only, are knowledge graphs connecting all kinds of relevant business objects to each other.

When customers and their behaviours are represented in a knowledge model, Linked data technologies try to preserve as much semantics as possible. By these means they are able to complement other approaches for big data analytics, which rather tend to flatten out the data model behind business entities.

Florian Huber

Using SPARQL clause VALUES in PoolParty

connect-sparqlSince PoolParty fully supports SPARQL 1.1 functionalities you can use clauses like VALUES. The VALUES clause can be used to provide an unordered solution sequence that is joined with the results of the query evaluation. From my perspective it is a convenience of filtering variables and an increase in readability of queries.

E.g. when you want to know which cocktails you can create with Gin and a highball glass you can go to http://vocabulary.semantic-web.at/PoolParty/sparql/cocktails and fire this query:

PREFIX skos:<http://www.w3.org/2004/02/skos/core#>
PREFIX co: <http://vocabulary.semantic-web.at/cocktail-ontology/>
SELECT ?cocktailLabel
WHERE {
  ?cocktail co:consists-of ?ingredient ;
    co:uses ?drinkware ;
    skos:prefLabel ?cocktailLabel .
  ?ingredient skos:prefLabel ?ingredientLabel .
  ?drinkware skos:prefLabel ?drinkwareLabel .
  FILTER (?ingredientLabel = "Gin"@en && ?drinkwareLabel = "Highball glass"@en )
}

When you want to add additional pairs of ingredients and drink ware you want to filter in combination the query gets quite clumsy. Wrongly placed braces can break the syntax. In addition, when writing complicated queries you easily insert errors, e.g. by mixing boolean operators which results in wrong results…

...
FILTER ((?ingredientLabel = "Gin"@en && ?drinkwareLabel = "Highball glass"@en ) ||
     (?ingredientLabel = "Vodka"@en && ?drinkwareLabel ="Old Fashioned glass"@en ))
}

Using VALUES can help in this situation. For example this query shows you how to filter both pairs Gin+Highball glass and Vodka+Old Fashioned glass in a neat way:

PREFIX skos:<http://www.w3.org/2004/02/skos/core#>
PREFIX co: <http://vocabulary.semantic-web.at/cocktail-ontology/>
SELECT ?cocktailLabel
WHERE {
  ?cocktail co:consists-of ?ingredient ;
    co:uses ?drinkware ;
    skos:prefLabel ?cocktailLabel .
  ?ingredient skos:prefLabel ?ingredientLabel .
  ?drinkware skos:prefLabel ?drinkwareLabel .
}
VALUES ( ?ingredientLabel ?drinkwareLabel )
{
  ("Gin"@en "Highball glass"@en)
  ("Vodka"@en "Old Fashioned glass"@en)
}

Especially when you create SPARQL code automatically, e.g. generated by a form, this clause can be very useful.

 

Thomas Thurner

Automatic Semantic Tagging for Drupal CMS launched

REEEP [1] and CTCN [2] have recently launched Climate Tagger, a new tool to automatically scan, label, sort and catalogue datasets and document collections. Climate Tagger now incorporates a Drupal Module for automatic annotation of Drupal content nodes. Climate Tagger addresses knowledge-driven organizations in the climate and development arenas, providing automated functionality to streamline, catalogue and link their Climate Compatible Development data and information resources.

Climate Tagger

Climate Tagger for Drupal is a simple, FREE and easy-to-use way to integrate the well-known Reegle Tagging API [3], originally developed in 2011 with the support of CDKN [4], (now part of the Climate Tagger suite as Climate Tagger API) into any web site based on the Drupal Content Management System [5]. Climate Tagger is backed by the expansive Climate Compatible Development Thesaurus, developed by experts in multiple fields and continuously updated to remain current (explore the thesaurus at http://www.reegle.info/glossary). The thesaurus is available in English, French, Spanish, German and Portuguese. And can connect content on different portals published in these different languages.

Climate Tagger for Drupal can be fine-tuned to individual (and existing) configuration of any Drupal 7 installation by:

  • determining which content types and fields will be automatically tagged
  • scheduling “batch jobs” for automatic updating (also for already existing contents; where the option is available to re-tag all content or only tag with new concepts found via a thesaurus expansion / update)
  • automatically limit and manage volumes of tag results based on individually chosen scoring thresholds
  • blending with manual tagging
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“Climate Tagger [6] brings together the semantic power of Semantic Web Company’s PoolParty Semantic Suite [7] with the domain expertise of REEEP and CTCN, resulting in an automatic annotation module for Drupal 7 with an accuracy never seen before” states Martin Kaltenböck, Managing Partner of Semantic Web Company [8], which acts as the technology provider behind the module.

Climate Tagger is the result of a shared commitment to breaking down the ‘information silos’ that exist in the climate compatible development community, and to provide concrete solutions that can be implemented right now, anywhere” said REEEP Director General Martin Hiller. “Together with CTCN and SWC laid the foundations for a system that can be continuously improved and expanded to bring new sectors, systems and organizations into the climate knowledge community.”

For the Open Data and Linked Open Data communities, a Climate Tagger plugin for CKAN [9] has also been published, which was developed by developed by NREL [10] in cooperation with CTCN’s support, harnessing the same taxonomy and expert vetted thesaurus behind the Climate Tagger, helping connect open data to climate compatible content through the simultaneous use of these tools.

REEEP Director General Martin Hiller and CTCN Director Jukka Uosukainen will be talking about Climate Tagger at the COP20 side event hosted by the Climate Knowledge Brokers Group in Lima [11], Peru, on Monday, December 1st at 4:45pm.

Further reading and downloads

About REEEP:

REEEP invests in clean energy markets in developing countries to lower CO2 emissions and build prosperity. Based on strategic portfolio of high impact projects, REEEP works to generate energy access, improve lives and economic opportunities, build sustainable markets, and combat climate change.

REEEP understands market change from a practice, policy and financial perspective. We monitor, evaluate and learn from our portfolio to understand opportunities and barriers to success within markets. These insights then influence policy, increase public and private investment, and inform our portfolio strategy to build scale within and replication across markets. REEEP is committed to open access to knowledge to support entrepreneurship, innovation and policy improvements to empower market shifts across the developing world.

About the CTCN

The Climate Technology Centre & Network facilitates the transfer of climate technologies by providing technical assistance, improving access to technology knowledge, and fostering collaboration among climate technology stakeholders. The CTCN is the operational arm of the UNFCCC Technology Mechanism and is hosted by the United Nations Environment Programme (UNEP) in collaboration with the United Nations Industrial Development Organization (UNIDO) and 11 independent, regional organizations with expertise in climate technologies.

About Semantic Web Company

Semantic Web Company (SWC, http://www.semantic-web.at) is a technology provider headquartered in Vienna (Austria). SWC supports organizations from all industrial sectors worldwide to improve their information and data management. Their products have outstanding capabilities to extract meaning from structured and unstructured data by making use of linked data technologies.

Thomas Thurner

Energy Buildings Performance Scenarios as Linked Open Data

The reduction of green house gas emissions is one of the big global challenges for the next decades. (Linked) Open Data on this multi-domain challenge is key for addressing the issues in policy, construction, energy efficiency, production a like. Today – on the World Environment Day 2014 – a new (linked open) data initiative contributes to this effort: GBPN’s Data Endpoint for Building Energy Performance Scenarios.

gbpn-scenariosGBPN (The Global Buildings Performance Network) provides the full data set on a recently made global scenario analysis for saving energy in the building sector worldwide, projected from 2005 to 2050. The multidimensional dataset includes parameters like housing types, building vintages and energy uses  – for various climate zones and regions and is freely available for full use and re-use as open data under CC-BY 3.0 France license.

To explore this easily, the Semantic Web Company has developed an interactive query / filtering tool which allows to create graphs and tables in slicing this multidimensional data cube. Chosen results can be exported as open data in the open formats: RDF and CSV and also queried via a provided SPARQL endpoint (a semantic web based data API). A built-in query-builder makes the use as well as the learning and understanding of SPARQL easy – for advanced users as well as also for non-experts or beginners.

gbn-filter

The LOD based information- & data system is part of Semantic Web Companies’ recent Poolparty Semantic Drupal developments and is based on OpenLinks Virtuoso 7 QuadStore holding and calculating ~235 million triples as well as it makes use of the RDF ETL Tool: UnifiedViews as well as D2R Server for RDF conversion. The underlying GBPN ontology runs on PoolParty 4.2 and serves also a powerful domain-specific news aggregator realized with SWC’s sOnr webminer.

reegle.info-trusted-linksTogether with other Energy Efficiency related Linked Open Data Initiatives like REEEP, NREL, BPIE and others, GBPNs recent initative is a contribution towards a broader availability of data supporting action agains global warming – as also Dr. Peter Graham, Executive Director of GBPN emphasized “…data and modelling of building energy use has long been difficult or expensive to access – yet it is critical to policy development and investment in low-energy buildings. With the release of the BEPS open data model, GBPN are providing free access to the world’s best aggregated data analyses on building energy performance.”

The Linked Open Data (LOD) is modelled using the RDF Data Cube Vocabulary (that is a W3C recommendation) including 17 dimensions in the cube. In total there are 235 million triples available in RDF including links to DBpedia and Geonames – linking the indicators: years – climate zones – regions and building types as well as user scenarios….

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