Extending business processes with semantic annotations has gained recent attention. This comprises relating process elements to ontology elements in order to create a shared conceptual and terminological understanding. In business process modeling, processes may have to adhere to a multitude of rules. A common way to detect compliance automatedly is studying the artifact of the process model itself.
The development and standardization of semantic web technologies has resulted in an unprecedented volume of data being published on the Web as Linked Data (LD). However, we observe widely varying data quality ranging from extensively curated datasets to crowdsourced and extracted data of relatively low quality.
On March 30 2017 Rene Pickhardt will present the results of the fOERder award which he won one year ago in March 2016. Together with Sebastian Schlicht the MOOC-Extension for Mediawiki ( https://www.mediawiki.org/wiki
Open Information Extraction (OIE) is a well performing intermediate step for tasks like summarization, text comprehension relation extraction or knowledge base construction. However, there is surprisingly little work on evaluating and on comparing different methods. How can we compare results of existing OIE systems?
Textual data is a core source of information in the enterprise. Example demands arise from sales departments (monitor and identify leads), human resources (identify professionals with capabilities in “xyz”), market research (campaign monitoring from the social web), product development (incorporate feedback from customers), supply chain management.
Cognitive disability may lead to learning difficulties, difficulties in problem solving, concentration and attention problems, poor orientation capability. Accessibility for users with cognitive disabilities is a great challenge. So far in our work on interactive Web and human computing, we have focused on eye-brain interfaces and how it can assist the people with motor disability.
The Web has become part of our all-day life, but its access is limited to either mouse and keyboard or touch based input devices. The technical development of eye tracking systems over the recent years makes them affordable and act as an exciting opportunity to include people with disabilities into the modern digital environment.
Currently there is a shortage of citation data for the social sciences and especially for the German social sciences. The EXCITE project aims to close this gap by automatically extracting such information from a large available corpus of research papers. A step towards this goal is to construct a gold standard which allows an evaluation of the different steps in the extraction pipeline.
Data access is tricky and error-prone. Many formats require a deep understanding of the underlying techniques to be accessible. Additionally, the access itself is often error-prone due to unchecked queries or simply wrong assumptions while processing query results.
In concept lattice-based information retrieval, the task of document retrieval is being supported by means of Formal Concept Analysis. The steps of query matching and document ranking are informed by an underlying concept lattice thus induced from a set of documents. Recently, Codocedo et al. proposed a refined approach to this using semantic similarity as the basis for query evaluation and document ranking. This talk will give an introduction to their approach and discuss evaluation results.