2013, Hinkelmann, Knut

In the APPRIS project an Early-Warning-System (EWS) is developed applying semantic technologies, namely an enterprise ontology and an inference engine, for the assessment of procurement risks. Our approach allows for analyzing internal resources (e.g. ERP and CRM data) and external sources (e.g. entries in the Commercial Register and newspaper reports) to assess known risks, but also for identifying black swans, which hit enterprises with no warning but potentially large impact. For proof of concept we developed a prototype that allows for integrating data from various information sources, of various information types (structured and unstructured), and information quality (assured facts, news); automatic identification, validation and quantification of risks and aggregation of assessment results on several granularity levels. The motivating scenario is derived from three business project partners real requirements for an EWS.

2009-03-25T00:00:00Z, Hinkelmann, Knut

In this paper we describe a multi-dimensional framework for knowledge maturing and learning. The framework consists of seven dimensions and supports the assessment of the knowledge management as-is-state in a company as well as the selection of appropriate approaches and methods for a further improvement. The paper also discusses the relationship to comparable approaches (e.g. intellectual capital statements) and ends with open issues for a proper implementation of the maturity framework.

2009, Hinkelmann, Knut

Although there are legally binding rules and regulations every administration has to obey, dealing with people?s concerns means dealing with different circumstances every time. In this sense, e-government services are often agile and knowledge intensive. In order to achieve agile processes, we combine the modelling of structured processes at design time with the flexibility of semantic technologies and business rules. For variable process part, action-enabling rules at run-time select the activities that have to be executed depending on the actual context of the process instance. Inference rules allow for intelligent resource allocation identifying adequate services and selecting employees based on special skills and experiences. In addition, integrity constraints and inference rules support decision making and ensure consistency checking and compliance.

2007, Hinkelmann, Knut

2011-03-21T00:00:00Z, Hinkelmann, Knut

Organizational agility is a key challenge in today's business world. The Knowledge-Intensive Service Support approach tackles agility by combining process modeling and business rules. In the paper at hand, we present five approaches of process mining that could further increase the agility of processes by improving an existing process model.

2009, Hinkelmann, Knut

2009, Hinkelmann, Knut

2011, Hinkelmann, Knut

The work presented in this paper explores the potential of leveraging the traces of informal work and collaboration in order to improve business processes over time. As process executions often differ from the original design due to individual preferences, skills or competencies and exceptions, we propose methods to analyse personal preferences of work, such as email communication and personal task execution in a task management application. Outcome of these methods is the detection of internal substructures (subtasks or branches) of activities on the one hand and the recommendation of resources to be used in activities on the other hand, leading to the improvement of business process models. Our first results show that even though human intervention is still required to operationalise these insights it is indeed possible to derive interesting and new insights about business processes from traces of informal work and infer suggestions for process model changes.

2009, Hinkelmann, Knut

2008, Hinkelmann, Knut

Business rules and business process management are growing research and application areas for semantic technologies. While both areas make use of model driven knowledge representations?often in conjunction with application-oriented modeling tools?the potential of knowledge representations with precise semantics has only recently been recognized.Generally, the areas of ?business rules,? ?semantic technologies,? and ?business process management? are addressed by different communities at present. Standards are promoted by different organizations like W3C, OMG, and WfMC. Current research and practice, however, begins to identify and explore the benefits for combining methodologies from these different areas.Business rules, for example, strive to meet the increasing requirements of transparency and compliance, making sure that all stakeholders comply with all rules and regulations at any place and any time. Defining a commonly agreed vocabulary is a prerequisite for rule definitions.