Thomas Thurner

Bruno Eugster: ‘How to bring already pre-filtered information to the employee’s desk’

0adf38aa6.11669486,3In recent years, PoolParty team has not only worked on the major release PoolParty 4. It also developed a network of experts as its partner organizations, which deliver services for system integration (e.g. SharePoint, FirstSpirit, IntraFind etc.), taxonomy and thesaurus management, and to develop infrastructure for the corporate semantic web. DTI AG is one of those partners which are acting globally as an interface between PoolParty team and the customers. Andreas Blumauer talked with Bruno Eugster, CEO at DTI AG, based in Switzerland.

Blumauer: How do semantic technologies fit into your overall strategy, do you believe they are ‘the next big thing’?

Eugster: DTI AG focuses on projects to improve information access and search, where semantic technologies play an ever important role. In this respect, semantic technologies are one of the next “big things”. Only if computers will understand crawled content, as well as the needs of the information seeker, the user will be able to get the right information in time. This is the key challenge which semantic technology will help to meet.

Blumauer: Which kind of projects in the field of semantic technologies do you mainly support? What are the business cases in such projects?

Eugster: Everywhere where information workers drive customer’s business, semantic technologies are of great help to get precise hits in time. This is the case for DTI’s projects in the sectors of enterprise search, knowledge management, eDiscovery, legal investigations as well as in government, pharma, finance, and insurance industry.

Blumauer: How do your customers benefit from PoolParty technologies? Why did you decide to develop a partnership with Semantic Web Company?

Eugster: In our days, where loads of information dislocated in countless data silos, it’s enormously important to bring already pre-filtered information to the employee’s desk. As each employee has it’s own requirements to given information – depending on his role and job. PoolParty allows to enrich the information with these contexts. At DTI AG,  we have found a dynamic and innovative technology partner with PoolParty, to achieve customer demands in information access and search.


Bruno Eugster is founder of DTI AG which is an independent solution provider in the field of intelligent information search and retrieval. Their target markets are media, financial, life sciences and government.

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Thomas Thurner

I-SEMANTICS 2013: Kai Holzweissig about Daimler’s Linked Data Projects

“Product development is an information intensive process, which relies heavily on the division of labor. Thus, product development is not only of high cognitive, but also of high social complexity. Employees in product development possess different “thought worlds” of the product, its components and its development process, that is, they see the product differently. These different “thought worlds” cause communication – and consequently collaboration, which is the topmost success factor in product development – to break down.”

At this years I-Semantics Kai Holzweissig describes the use of controlled vocabularies and product development process reference models at Daimler. The use of controlled vocabulary and the corresponding process reference model as a “discursive anchor” gives employees at Daimler a toolset to harmonize their “thought worlds”. This can result in higher efficiency and effectiveness in product development by fostering inter-departmental collaboration.

About Dr. Kai Holzweissig

He has an educational background in Informatics (PhD) and Cognitive Science (MSc). During his time at University he was awarded scholarships from SIEMENS AG and the Friedrich Naumann Foundation for Freedom. From 2007 to 2011 Kai worked at the Project Management Office at Daimler Trucks. Since 2011 he works for the Chief Technology Officer (CTO) at Daimler’s central IT department. Kai’s technical interests include: Contextual Informatics, Interaction Design, Social Software Theory and Linked Data. Kai is a lecturer for Interactive Systems at Reutlingen University.


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Thomas Thurner

Revealing Trends and Insights in Online Hiring Market Using Linking Open Data Cloud

How a business-related application that exploits open-data may look like is presented to the Semantic Web Challenge 2012 by Amar-Djalil Mezaour, Julien Law-To, Robert Isele, Thomas Schandl (SWC) and Gerd Zechmeister (SWC). The paper describes a prototypic linked data application for the Online Hiring Market.

”Active Hiring” is a search based application providing analytics on on-line job posts. This application uses services from the LOD cloud to disambiguate, geotag and interlink data entities acquired from on-line job boards web sites and provides a demonstration of the usefulness of linked open data in business setting.

from Active Hiring a Use Case Study, Paper, 2012

The search based application that combines semantic technologies and services to produce Human Resources (HR) analytics and highlight major trends on online hiring market. So Active Hiring is a demonstration of the benefit of combining open data sets and services with semantic tools as a support technology for increasing the accuracy of business applications. The Active Hiring demonstrator has been developed within the activities of the European project LOD2.

Full paper: Revealing Trends and Insights in Online Hiring Market Using Linking Open Data Cloud: Active Hiring a Use Case Study (PDF)

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Thomas Schandl

Linked data based thesaurus management in collaborative settings

The creation and management of controlled vocabularies in companies often takes place in a distributed manner. Different departments in different branch offices often rather create their own vocabularies, than have one large central knowledge model, where everyone contributes.

How to model divergent views on one concept?

Such a central model is not only much harder to manage, but there is also the general problem that differerent departments like marketing, quality assurance, R&D, etc. will have divergent views on the model and its concepts. These different perspectives on one and the same concept are hard to unify in a single model.

Think of a company that sells mobile phones and wants to create a model of its line of products. It wants to utilize this model in the context of its online shop as well as in the context of its user support forum. While the structure of the model (i.e. the relationships between the products) might be very similar or the same in both contexts, there will be differences in which properties of the products are actually relevant in the respective contexts.

In the model of the marketing department there might be a concept for a “Phantastax StamiMaxx” cell phone with a definiton “The StamiMaxx has a powerful battery and is great for professionals who travel a lot”. They might relate it to manufacturer “ACME Corporation” and to several concepts representing different features like “Android OS”, “Multi-touch touchscreen”, etc.
The very same phone has different properties that are interesting from the Quality Assurance departement’s perspective. They might call it by a more specific name like “Phantastax i3000 StamiMaxx S”, have a different definition for it like “3G cell phone implementing the new WTF3000 protocol, …” and relate it to concepts representing known problems and their solutions.

Now they face the task to integrate these different models, as it is not desirable to use a bunch of isolated models within one company.

Support of collaborative work on distributed models

To support this kind of collaborative work on distributed knowledge models, we would like to link the concepts of the models, just as is we link documents in the World Wide Web. Fortunately the Simple Knowledge Organisation System (SKOS) offers mapping properties that can be used to define relationships between concepts from different knowledge models.

E.g. when we want to say that concept “Phantastax StamiMaxx” in the product line thesaurus refers to the same real world entity as concept “Phantastax i3000 StamiMaxx S” in the Quality Assurance thesaurus, then we can use skos:exactMatch to express that. If we want to express that the concepts are merly similar, skos:closeMatch could be used.

The other SKOS mapping properties express a hierarchical (narrowMatch, broadMatch) or an associative (relatedMatch) mapping relation between concepts from different concept schemes. With those we can say that my Samsung Galaxy concept has a skos:broadMatch “Smartphone” in the product line vocabulary and a skos:relatedMatch “ACME Corporation” in a controlled vocabulary about Tech companies.

Modularisation of knowledge models

In this way SKOS thesaurus management systems like PoolParty make it possible to modularise knowledge models, represent concepts in their different contexts and consequently enable collaborative work on those models: The marketing guy can work on his model with the concept properties focused on sales without disrupting the work of the quality assurance expert on her own thesaurus. Later one or both of them can create the skos:exactMatch link between the concepts that are the same, like seen in the “Exact Matching Concepts” box in screenshot of PoolParty below.

Enrich your knowledge: Get connected with the LOD Cloud

Going a step further the models could be connected to external knowledge, e.g. a source from the Linked Open Data (LOD) Cloud. Once we establish links to LOD hubs like DBpedia, we can import additional information for their concepts or use it to establish whether similar concepts from different models really refer to the same real world resource.