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<!DOCTYPE HTML>
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<html>
<head>
<title>bmake @ THB</title>
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<body class="landing">
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<header id="header" class="alt">
<h1>bmake @ <a href="https://th-brandenburg.de" target="_blank">THB</a></h1>
<nav id="nav">
<ul>
<li><a href="#banner">Home</a></li>
<li><a href="publications.html">Publications</a></li>
<li><a href="index.html#cta" class="button">Contact</a></li>
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<img src="./images/logo_bmake.png" style="height:100px"/>
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<h2>bmake</h2>
<p>Research Group Business Modeling and Knowledge Engineering</p>
<ul class="actions">
<!--<li><a href="#" class="button special">Contact</a></li>-->
<li><a href="#main" class="button special">Discover</a></li>
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</section>
<!-- Main -->
<section id="main" class="container">
<section class="box special">
<header class="major">
<h2>Knowledge Management 3.0</h2>
<p>
Organization-wide knowledge structures - plain, usable, sustainable
</p>
<p>
Knowledge management 3.0 uses Semantic Web standards for the design and implementation of innovative solutions. Data formats and vocabularies, such as RDF and schema.org, and the analysis language SPARQL is used to structure and align organizational knowledge.
</p>
</header>
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</section>
<section class="box">
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<img src="images/banners/BusinessRequirements.jpeg" />
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<header>
<h3>Business Requirements</h3>
<p>Process, use & enhance</p>
</header>
<!--<span class="image right" style="text-align:center;"><span class="icon major fa-bolt accent2"></span></span>-->
<p>
Business requirements derive from the activity patterns in business tasks and processes. Depending on the level of automation it comes to providing a structured, context-relevant data for preconfigured processes or task-related information, presented in a user-friendly manner.<br />
The prototypes of semantic applications developed by students in the course of master classes initially address the support of business users and end users. These developments were triggered by real problems in the university environment.<br />
For elicitation of business requirements CMMI specific practices were used, particularly from process area Requirements Development.
</p>
</section>
<section class="box">
<span class="image featured">
<img src="images/banners/knowledge-graph.jpg" />
</span>
<header>
<h3>Knowledge Graphs & Linked Data</h3>
<p>Merge, structure & link</p>
</header>
<!--<span class="image left" style="text-align:center;"><span class="icon major fa-star accent3"></span></span>-->
<p>
Semantic Web technologies allow the representation of business knowledge in organization-wide or even globally standardized structures and patterns. Therefore, organizations can first of all apply the multiple W3C annotation and query standards, such as RDF, RDFS, OWL and SPARQL.<br />
In the recent years a dynamically-growing community is concerned with the development of industry and domain vocabularies provided to the public based on open licenses. Some very prominent of them are Dublin Core, FOAF or schema.org. <br />
Another significant direction of development ensures that more and more structured data is openly accessible and linked to each other whenever possible. Important initiatives and platforms in this area are DBpedia, WikiData and Linked Open Data.<br />
A fourth relevant pillar for knowledge engineering are tools and frameworks that allow data modeling and federating across multiple systems providing interfaces to them. The following free resources are used among others in the student development projects: Protégé, rdfEditor, D2RQ, Fuseki, Jena, RDF Translator.
</p>
</section>
<section class="box">
<span class="image featured">
<img src="images/banners/BusinessKnowledge.jpeg" />
</span>
<div>
<header>
<h3>Business Knowledge</h3>
<p>Discover & collect</p>
</header>
<!--<span class="image right" style="text-align:center;"><span class="icon major fa-briefcase accent4"></span></span>-->
<p>
Business knowledge in companies and organizations become more and more an important resource. To provide the access to this resource in the required quantity and quality is a big challenge. According to Davenport knowledge is a fluid mix of professional experience, values, contextual information and individual expertise, which build a framework for the assessment and integration of new experiences and information.<br />
The sources and the degree of structuredness of business knowledge are extremely diverse. This includes the knowledge of experienced employees, which can be characterized as unstructured – at least from a technical point of view. Further, there is a wealth of weakly structured, text- or image-based sources. Important sources of highly structured business knowledge are all kinds of databases. Unfortunately, the underlying data are mostly encapsulated, like in silos. Last but not least business knowledge can be found in organizational routines, processes, practices and standards. In addition, organizations have more and more possibilities to access external, open sources of knowledge.<br />
The methods and tools for discovering and collecting business knowledge differ with respect to the kind of source and the level of structuredness of that knowledge. In the student development projects were applied the following: interviews with business experts, analysis and consolidation of textual documents, semantic mapping of relational databases, and systematic extraction of structured, external data.
</p>
</div>
</section>
<div class="row projects">
<div class="4u 12u(narrower)">
<section class="box special">
<span class="image featured"><img src="images/projects/itcat_logo.png" alt="" /></span>
<h3>ITCat</h3>
<p><strong>Semantic IT Service Catalog</strong> Consolidated Platform to all IT services of an organization</p>
<ul class="actions">
<li><a href="./downloads/DBlITCat_Cebit2016.pdf" target="_blank" class="button alt">Learn More</a></li>
</ul>
</section>
</div>
<div class="4u 12u(narrower)">
<section class="box special">
<span class="image featured"><img src="images/projects/edugraph_logo.png" alt="" /></span>
<h3>EduGraph</h3>
<p><strong>Graph for Study Programs</strong> Decentralized information system for degree programs</p>
<ul class="actions">
<li><a href="./downloads/DBlEduGraph_Cebit2016.pdf" target="_blank" class="button alt">Learn More</a></li>
</ul>
</section>
</div>
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<section class="box special">
<span class="image featured"><img src="images/projects/susea_logo.png" alt=""/></span>
<h3>SUSea</h3>
<p><strong>Semantic University Search</strong> Faceted search over relational databases of existing CMS</p>
<ul class="actions">
<li><a href="./downloads/SUSeaPoster.pdf" target="_blank" class="button alt">Learn More</a></li>
</ul>
</section>
</div>
</div>
</section>
<section id="cta" class="box special contact">
<h3 style="margin-bottom:40px;">Get in contact</h3>
<div class="container row projects" style="margin:auto;">
<div class="4u 12u(narrower)">
<b>Vera G. Meister</b><br />
Professor of Business Information Systems<br />
<br />
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<li><a href="mailto:vera.meister@th-brandenburg.de" class="icon fa-envelope-o"><span class="label">Mail</span></a></li>
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<li><a href="https://www.researchgate.net/profile/Vera_Meister" class="icon" target="_blank"><img src="assets/css/images/RG_white_Logo_PNG.png" style="height:25px;" /></a></li>
</ul>
</div>
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<b>Wenxin Hu</b><br />
Student Assistant<br />
<br />
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<li><a href="mailto:wenxin.hu@th-brandenburg.de" class="icon fa-envelope-o"><span class="label">Mail</span></a></li>
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</ul>
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