Abstract The goal of Open Information Extraction (OIE) is to extract surface relations and
their arguments from naturallanguage text in an unsupervised, domainindependent manner …

Currently, multiple data vendors utilize the cloud-computing paradigm for trading raw data,
associated analytical services, and analytic results as a commodity good. We observe that …

The management of text data has a long-standing history in the human mankind. A particular
common task is extracting relations from text. Typically, the user performs this task with two …

Proposition extraction from sentences is an important task for information extraction systems
Evaluation of such systems usually conflates two aspects: splitting complex sentences into …

With the convergence of data warehousing, online analytical processing and the Semantic
Web, analytical tasks are no longer only designed and executed by experts. Instead, various …

In this vision paper, the authors discuss models and techniques for integrating, processing
and querying data, information and knowledge within data warehouses in a user-centric …

Most existing data is stored in unstructured textual formats, which makes their subsequent
processing by computers more difficult. The Open Information Extraction (OpenIE) paradigm …

Relation extraction transforms the textual representation of a relationship into the relational
model of a data warehouse. Early systems, such as SystemT by IBM or the open source …

In this thesis, we investigate machine computable and at the same time human-
understandable representation dimensions of text that can subsequently be used to filter …

Abstract The vision of Machine Reading is to automatically understand written text and
transform the contained information into machine-readable representations. This thesis …