@inproceedings{44,
  abstract     = {{Natural language software requirements descriptions enable end users to formulate their wishes and expectations for a future software product without much prior knowledge in requirements engineering. However, these descriptions are susceptible to linguistic inaccuracies such as ambiguities and incompleteness that can harm the development process. There is a number of software solutions that can detect deficits in requirements descriptions and partially solve them, but they are often hard to use and not suitable for end users. For this reason, we develop a software system that helps end-users to create unambiguous and complete requirements descriptions by combining existing expert tools and controlling them using automatic compensation strategies. In order to recognize the necessity of individual compensation methods in the descriptions, we have developed linguistic indicators, which we present in this paper. Based on these indicators, the whole text analysis pipeline is ad-hoc configured and thus adapted to the individual circumstances of a requirements description.}},
  author       = {{Bäumer, Frederik Simon and Geierhos, Michaela}},
  booktitle    = {{Proceedings of the 51st Hawaii International Conference on System Sciences}},
  isbn         = {{978-0-9981331-1-9}},
  keywords     = {{Software Product Lines: Engineering, Services, and Management, Ambiguities, Incompleteness, Natural Language Processing, Software Requirements}},
  location     = {{Big Island, Waikoloa Village}},
  pages        = {{5746--5755}},
  title        = {{{Flexible Ambiguity Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-based Configuration of Text Analysis Pipelines}}},
  doi          = {{10125/50609}},
  year         = {{2018}},
}

@article{64054,
  abstract     = {{In this work, the preparation of porous hybrid particle-based films by core-shell particle design and convenient film preparation is reported. Monodisperse core particles consisting of poly(methyl methacrylate‑co‑allyl methacrylate) (P(MMA‑co‑ALMA)) were synthesized by starved-feed emulsion polymerization followed by the introduction of an initiator-containing monomer (inimer) for subsequent atom transfer radical polymerization (ATRP). The inimer shell allowed for the introduction of allylhydrido polycarbosilane (SMP-10) under ATRP conditions by grafting to the core particles. The functionalization of the prepared core-shell particles was investigated by IR spectroscopy (FTIR), scanning transmission electron microscopy (STEM) and solid-state NMR combined with dynamic nuclear polarization (DNP). The obtained hard core/soft preceramic shell particles were subjected to the melt-shear organization technique, enabling a convenient alignment into a colloidal crystal structure in one single step without the presence of a dispersion medium or solvent for the designed particles. Moreover, the hybrid particle-based films were converted into a porous ceramic structure upon thermal treatment. As a result, freestanding ceramic porous films have been obtained after degradation of the organic template core particles. Noteworthy, the conversion of the matrix material consisting of SMP-10 into the ceramic occurred with preservation of the pristine colloidal crystal template structure. Herein, the first example of core-shell particle preparation by combining different polymerization methodologies and application of the convenient melt-shear organization technique is shown, paving a new way to ceramic materials with tailored morphology and porosity.}},
  author       = {{Vowinkel, Steffen and Boehm, Anna and Schäfer, Timmy and Gutmann, Torsten and Ionescu, Emanuel and Gallei, Markus}},
  journal      = {{Materials & Design}},
  keywords     = {{emulsion polymerization, self-assembly, ATRP, Colloidal crystal, Hybrid film, Particle processing}},
  pages        = {{926–935}},
  title        = {{{Preceramic core-shell particles for the preparation of hybrid colloidal crystal films by melt-shear organization and conversion into porous ceramics}}},
  doi          = {{10.1016/j.matdes.2018.10.032}},
  volume       = {{160}},
  year         = {{2018}},
}

@inproceedings{1156,
  abstract     = {{In this paper, we present an IoT architecture which handles stream sensor data of air pollution. Particle pollution is known as a serious threat to human health. Along with developments in the use of wireless sensors and the IoT, we propose an architecture that flexibly measures and processes stream data collected in real-time by movable and low-cost IoT sensors. Thus, it enables a wide-spread network of wireless sensors that can follow changes in human behavior. Apart from stating reasons for the need of such a development and its requirements, we provide a conceptual design as well as a technological design of such an architecture. The technological design consists of Kaa and Apache Storm which can collect air pollution information in real-time and solve various problems to process data such as missing data and synchronization. This enables us to add a simulation in which we provide issues that might come up when having our architecture in use. Together with these issues, we state r easons for choosing specific modules among candidates. Our architecture combines wireless sensors with the Kaa IoT framework, an Apache Kafka pipeline and an Apache Storm Data Stream Management System among others. We even provide open-government data sets that are freely available.}},
  author       = {{Kersting, Joschka and Geierhos, Michaela and Jung, Hanmin and Kim, Taehong}},
  booktitle    = {{Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security}},
  editor       = {{Ramachandran, Muthu and Méndez Muñoz, Víctor and Kantere, Verena and Wills, Gary and Walters, Robert and Chang, Victor}},
  isbn         = {{978-989-758-245-5}},
  keywords     = {{Wireless Sensor Network, Internet of Things, Stream Data, Air Pollution, DSMS, Real-time Data Processing}},
  location     = {{Porto, Portugal}},
  pages        = {{117--124}},
  publisher    = {{SCITEPRESS}},
  title        = {{{Internet of Things Architecture for Handling Stream Air Pollution Data}}},
  doi          = {{10.5220/0006354801170124}},
  year         = {{2017}},
}

@inproceedings{10676,
  author       = {{Ho, Nam and Kaufmann, Paul and Platzner, Marco}},
  booktitle    = {{2017 International Conference on Field Programmable Technology (ICFPT)}},
  keywords     = {{Linux, cache storage, microprocessor chips, multiprocessing systems, LEON3-Linux based multicore processor, MiBench suite, block sizes, cache adaptation, evolvable caches, memory-to-cache-index mapping function, processor caches, reconfigurable cache mapping optimization, reconfigurable hardware technology, replacement strategies, standard Linux OS, time a complete hardware implementation, Hardware, Indexes, Linux, Measurement, Multicore processing, Optimization, Training}},
  pages        = {{215--218}},
  title        = {{{Evolvable caches: Optimization of reconfigurable cache mappings for a LEON3/Linux-based multi-core processor}}},
  doi          = {{10.1109/FPT.2017.8280144}},
  year         = {{2017}},
}

@inproceedings{10780,
  author       = {{Guettatfi, Zakarya and Hübner, Philipp and Platzner, Marco and Rinner, Bernhard}},
  booktitle    = {{12th International Symposium on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC)}},
  keywords     = {{embedded systems, image sensors, power aware computing, wireless sensor networks, Zynq-based VSN node prototype, computational self-awareness, design approach, platform levels, power consumption, visual sensor networks, visual sensor nodes, Cameras, Hardware, Middleware, Multicore processing, Operating systems, Runtime, Reconfigurable platforms, distributed embedded systems, performance-resource trade-off, self-awareness, visual sensor nodes}},
  pages        = {{1--8}},
  title        = {{{Computational self-awareness as design approach for visual sensor nodes}}},
  doi          = {{10.1109/ReCoSoC.2017.8016147}},
  year         = {{2017}},
}

@article{1098,
  abstract     = {{An end user generally writes down software requirements in ambiguous expressions using natural language; hence, a software developer attuned to programming language finds it difficult to understand th meaning of the requirements. To solve this problem we define semantic categories for disambiguation and classify/annotate the requirement into the categories by using machine-learning models. We extensively use a language frame closely related to such categories for designing features to overcome the problem of insufficient training data compare to the large number of classes. Our proposed model obtained a micro-average F1-score of 0.75, outperforming the previous model, REaCT.}},
  author       = {{Kim, Yeong-Su and Lee, Seung-Woo  and Dollmann, Markus and Geierhos, Michaela}},
  issn         = {{2205-8494}},
  journal      = {{International Journal of Software Engineering for Smart Device}},
  keywords     = {{Natural Language Processing, Semantic Annotation, Machine Learning}},
  number       = {{2}},
  pages        = {{1--6}},
  publisher    = {{Global Vision School Publication}},
  title        = {{{Semantic Annotation of Software Requirements with Language Frame}}},
  volume       = {{4}},
  year         = {{2017}},
}

@article{64053,
  abstract     = {{The utilization and preparation of functional hybrid films for optical sensing applications and membranes is of utmost importance. In this work, we report the convenient and scalable preparation of self-crosslinking particle-based films derived by directed self-assembly of alkoxysilane-based cross-linkers as part of a core-shell particle architecture. The synthesis of well-designed monodisperse core-shell particles by emulsion polymerization is the basic prerequisite for subsequent particle processing via the melt-shear organization technique. In more detail, the core particles consist of polystyrene (PS) or poly(methyl methacrylate) (PMMA), while the comparably soft particle shell consists of poly(ethyl acrylate) (PEA) and different alkoxysilane-based poly(methacrylate)s. For hybrid film formation and convenient self-cross-linking, different alkyl groups at the siloxane moieties were investigated in detail by solid-state Magic-Angle Spinning Nuclear Magnetic Resonance (MAS, NMR) spectroscopy revealing different crosslinking capabilities, which strongly influence the properties of the core or shell particle films with respect to transparency and iridescent reflection colors. Furthermore, solid-state NMR spectroscopy and investigation of the thermal properties by differential scanning calorimetry (DSC) measurements allow for insights into the cross-linking capabilities prior to and after synthesis, as well as after the thermally and pressure-induced processing steps. Subsequently, free-standing and self-crosslinked particle-based films featuring excellent particle order are obtained by application of the melt-shear organization technique, as shown by microscopy (TEM, SEM).}},
  author       = {{Vowinkel, S. and Paul, S. and Gutmann, Torsten and Gallei, M.}},
  issn         = {{2079-4991}},
  journal      = {{Nanomaterials}},
  keywords     = {{Materials Science, Science & Technology - Other Topics, solid-state nmr, spectroscopy, catalysts, colloidal crystals, colloids, cross-linking, elastomeric opal films, emulsion polymerization, gamma-methacryloxypropyltrimethoxysilane, hybrid films, melt-shear organization, nanoparticles, particle, photons, polymers, processing, self-assembly, transition}},
  number       = {{11}},
  pages        = {{390}},
  title        = {{{Free-Standing and Self-Crosslinkable Hybrid Films by Core-Shell Particle Design and Processing}}},
  doi          = {{10.3390/nano7110390}},
  volume       = {{7}},
  year         = {{2017}},
}

@article{6080,
  abstract     = {{Peripheral visual cues lead to large shifts in psychometric distributions of temporal-order judgments. In one view, such shifts are attributed to attention speeding up processing of the cued stimulus, so-called prior entry. However, sometimes these shifts are so large that it is unlikely that they are caused by attention alone. Here we tested the prevalent alternative explanation that the cue is sometimes confused with the target on a perceptual level, bolstering the shift of the psychometric function. We applied a novel model of cued temporal-order judgments, derived from Bundesen’s Theory of Visual Attention.We found that cue–target confusions indeed contribute to shifting psychometric functions. However, cue-induced changes in the processing rates of the target stimuli play an important role, too. At smaller cueing intervals, the cue increased the processing speed of the target. At larger intervals, inhibition of return was predominant. Earlier studies of cued TOJs were insensitive}},
  author       = {{Tünnermann, Jan and Scharlau, Ingrid}},
  issn         = {{1664-1078}},
  journal      = {{Frontiers in Psychology}},
  keywords     = {{cueing, temporal-order judgements, theory of visual attention (TVA), peripheral cue, processing speed, stimulus encoding, prior entry, Attention, Cues, Face Perception, Judgment}},
  title        = {{{Peripheral visual cues: Their fate in processing and effects on attention and temporal-order perception.}}},
  doi          = {{10.3389/fpsyg.2016.01442}},
  volume       = {{7}},
  year         = {{2016}},
}

@article{52208,
  author       = {{Khripko, Diana and Schlüter, Alexander and Rommel, Benjamin and Rosano, Michele and Hesselbach, Jens}},
  issn         = {{2008-9163}},
  journal      = {{International Journal of Energy and Environmental Engineering}},
  keywords     = {{Primary energy demand, Energy efficiency within industry, Polymer processing}},
  number       = {{2}},
  pages        = {{225--233}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Energy demand and efficiency measures in polymer processing: comparison between temperate and Mediterranean operating plants}}},
  doi          = {{10.1007/s40095-015-0200-2}},
  volume       = {{7}},
  year         = {{2016}},
}

@article{6066,
  abstract     = {{Selective visual attention improves performance in many tasks. Among others, it leads to 'prior entry'—earlier perception of an attended compared to an unattended stimulus. Whether this phenomenon is purely based on an increase of the processing rate of the attended stimulus or if a decrease in the processing rate of the unattended stimulus also contributes to the effect is, up to now, unanswered. Here we describe a novel approach to this question based on Bundesen’s Theory of Visual Attention, which we use to overcome the limitations of earlier prior-entry assessment with temporal order judgments (TOJs) that only allow relative statements regarding the processing speed of attended and unattended stimuli. Prevalent models of prior entry in TOJs either indirectly predict a pure acceleration or cannot model the difference between acceleration and deceleration. In a paradigm that combines a letter-identification task with TOJs, we show that indeed acceleration of the attended and deceler}},
  author       = {{Tünnermann, Jan and Petersen, Anders and Scharlau, Ingrid}},
  issn         = {{1534-7362}},
  journal      = {{Journal of Vision}},
  keywords     = {{unattended stimuli, attention speed, cognitive processing, Attention, Humans, Judgment, Mental Recall, Visual Perception, Stimulus Parameters, Visual Perception, Visual Attention, Cognitive Processes, Velocity}},
  number       = {{3}},
  title        = {{{Does attention speed up processing? Decreases and increases of processing rates in visual prior entry.}}},
  doi          = {{10.1167/15.3.1}},
  volume       = {{15}},
  year         = {{2015}},
}

@article{41866,
  author       = {{Russer, Johannes A. and Uddin, Nasir and Awny, Ahmed Sanaa and Thiede, Andreas and Russer, Peter}},
  issn         = {{2162-2264}},
  journal      = {{IEEE Electromagnetic Compatibility Magazine}},
  keywords     = {{Electrical and Electronic Engineering, Computer Networks and Communications, Instrumentation, Signal Processing, Software}},
  number       = {{3}},
  pages        = {{79--85}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Near-field measurement of stochastic electromagnetic fields}}},
  doi          = {{10.1109/memc.2015.7336761}},
  volume       = {{4}},
  year         = {{2015}},
}

@article{39479,
  author       = {{Vidor, Fábio and Meyers, Thorsten and Hilleringmann, Ulrich}},
  issn         = {{2079-9292}},
  journal      = {{Electronics}},
  keywords     = {{Electrical and Electronic Engineering, Computer Networks and Communications, Hardware and Architecture, Signal Processing, Control and Systems Engineering}},
  number       = {{3}},
  pages        = {{480--506}},
  publisher    = {{MDPI AG}},
  title        = {{{Flexible Electronics: Integration Processes for Organic and Inorganic Semiconductor-Based Thin-Film Transistors}}},
  doi          = {{10.3390/electronics4030480}},
  volume       = {{4}},
  year         = {{2015}},
}

@inproceedings{10674,
  author       = {{Ho, Nam and Kaufmann, Paul and Platzner, Marco}},
  booktitle    = {{24th Intl. Conf. on Field Programmable Logic and Applications (FPL)}},
  keywords     = {{Linux, hardware-software codesign, multiprocessing systems, parallel processing, LEON3 multicore platform, Linux kernel, PMU, hardware counters, hardware-software infrastructure, high performance embedded computing, perf_event, performance monitoring unit, Computer architecture, Hardware, Monitoring, Phasor measurement units, Radiation detectors, Registers, Software}},
  pages        = {{1--4}},
  title        = {{{A hardware/software infrastructure for performance monitoring on LEON3 multicore platforms}}},
  doi          = {{10.1109/FPL.2014.6927437}},
  year         = {{2014}},
}

@article{11867,
  abstract     = {{New waves of consumer-centric applications, such as voice search and voice interaction with mobile devices and home entertainment systems, increasingly require automatic speech recognition (ASR) to be robust to the full range of real-world noise and other acoustic distorting conditions. Despite its practical importance, however, the inherent links between and distinctions among the myriad of methods for noise-robust ASR have yet to be carefully studied in order to advance the field further. To this end, it is critical to establish a solid, consistent, and common mathematical foundation for noise-robust ASR, which is lacking at present. This article is intended to fill this gap and to provide a thorough overview of modern noise-robust techniques for ASR developed over the past 30 years. We emphasize methods that are proven to be successful and that are likely to sustain or expand their future applicability. We distill key insights from our comprehensive overview in this field and take a fresh look at a few old problems, which nevertheless are still highly relevant today. Specifically, we have analyzed and categorized a wide range of noise-robust techniques using five different criteria: 1) feature-domain vs. model-domain processing, 2) the use of prior knowledge about the acoustic environment distortion, 3) the use of explicit environment-distortion models, 4) deterministic vs. uncertainty processing, and 5) the use of acoustic models trained jointly with the same feature enhancement or model adaptation process used in the testing stage. With this taxonomy-oriented review, we equip the reader with the insight to choose among techniques and with the awareness of the performance-complexity tradeoffs. The pros and cons of using different noise-robust ASR techniques in practical application scenarios are provided as a guide to interested practitioners. The current challenges and future research directions in this field is also carefully analyzed.}},
  author       = {{Li, Jinyu and Deng, Li and Gong, Yifan and Haeb-Umbach, Reinhold}},
  journal      = {{IEEE Transactions on Audio, Speech and Language Processing}},
  keywords     = {{Speech recognition, compensation, distortion modeling, joint model training, noise, robustness, uncertainty processing}},
  number       = {{4}},
  pages        = {{745--777}},
  title        = {{{An Overview of Noise-Robust Automatic Speech Recognition}}},
  doi          = {{10.1109/TASLP.2014.2304637}},
  volume       = {{22}},
  year         = {{2014}},
}

@inproceedings{11917,
  abstract     = {{In this paper we present a speech presence probability (SPP) estimation algorithmwhich exploits both temporal and spectral correlations of speech. To this end, the SPP estimation is formulated as the posterior probability estimation of the states of a two-dimensional (2D) Hidden Markov Model (HMM). We derive an iterative algorithm to decode the 2D-HMM which is based on the turbo principle. The experimental results show that indeed the SPP estimates improve from iteration to iteration, and further clearly outperform another state-of-the-art SPP estimation algorithm.}},
  author       = {{Vu, Dang Hai Tran and Haeb-Umbach, Reinhold}},
  booktitle    = {{38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013)}},
  issn         = {{1520-6149}},
  keywords     = {{correlation methods, estimation theory, hidden Markov models, iterative methods, probability, spectral analysis, speech processing, 2D HMM, SPP estimates, iterative algorithm, posterior probability estimation, spectral correlation, speech presence probability estimation, state-of-the-art SPP estimation algorithm, temporal correlation, turbo principle, two-dimensional hidden Markov model, Correlation, Decoding, Estimation, Iterative decoding, Noise, Speech, Vectors}},
  pages        = {{863--867}},
  title        = {{{Using the turbo principle for exploiting temporal and spectral correlations in speech presence probability estimation}}},
  doi          = {{10.1109/ICASSP.2013.6637771}},
  year         = {{2013}},
}

@article{4706,
  abstract     = {{Purpose – The purpose of this paper is to show how to employ complex event processing (CEP) for the observation and management of business processes. It proposes a conceptual architecture of BPM event producer, processor, and consumer and describes technical implications for the application with standard software in a perfect order scenario. Design/methodology/approach – The authors discuss business process analytics as the technological background. The capabilities of CEP in a BPM context are outlined an architecture design is proposed. A sophisticated proof-of-concept demonstrates its applicability. Findings – The results overcome the separation and data latency issues of process controlling, monitoring, and simulation. Distinct analyses of past, present, and future blur into a holistic real-time approach. The authors highlight the necessity for configurable event producer in BPM engines, process event support in CEP engines, a common process event format, connectors to visualizers, notifiers and return channels to the BPM engine. Research limitations/implications – Further research will thoroughly evaluate the approach in a variety of business settings. New concepts and standards for the architecture's building blocks will be needed to improve maintainability and operability. Practical implications – Managers learn how CEP can yield insights into business processes' operations. The paper illustrates a path to overcome inflexibility, latency, and missing feedback mechanisms of current process modeling and control solutions. Software vendors might be interested in the conceptualization and the described needs for further development. Originality/value – So far, there is no commercial CEP-based BPM solution which facilitates a round trip from insight to action as outlines. As major software vendors have begun developing solutions (BPM/BPA solutions), this paper will stimulate a debate between research and practice on suitable design and technology.}},
  author       = {{Janiesch, Christian and Matzner, Martin and Müller, Oliver}},
  isbn         = {{1020120096}},
  issn         = {{14637154}},
  journal      = {{Business Process Management Journal}},
  keywords     = {{Architecture, Business activity monitoring, Business process management, Business process re-engineering, Complex event processing, Computer software, Standard software}},
  number       = {{4}},
  pages        = {{625----643}},
  title        = {{{Beyond process monitoring: A proof-of-concept of event-driven business activity management}}},
  doi          = {{10.1108/14637151211253765}},
  year         = {{2012}},
}

@article{6088,
  abstract     = {{An attended stimulus reduces the perceptual latency of a later stimulus at the same location, leading to the intriguing finding that the perceived order between the two is often reversed. This prior-entry effect has been well established in a number of different cueing paradigms, mostly involving spatial attentional shifts. Here we assess the time-course of prior entry when all stimuli appear in rapid serial presentation at one location. Our findings indicate that the size of the attentional enhancement is strongly affected by the stimulus onset asynchrony between cue and target, with a rapid early peak, followed by decay. When task-irrelevant cues are used, the cueing effect on prior entry is short-lived and peaks as early as 50 ms. The benefit extends to about 100 ms when task-relevant cues are employed. These results fit with a straightforward computational model of transient attentional enhancement, peaking about 80 100 ms after stimulus detection. (PsycINFO Database Record (c) 20}},
  author       = {{Hilkenmeier, Frederic and Scharlau, Ingrid and Weiß, Katharina and Olivers, Christian N. L.}},
  issn         = {{1350-6285}},
  journal      = {{Visual Cognition}},
  keywords     = {{serial visual processing, prior entry dynamics, cueing paradigms, Cues, Visual Perception, Visual Search}},
  number       = {{1}},
  pages        = {{48 -- 76}},
  title        = {{{The dynamics of prior entry in serial visual processing.}}},
  volume       = {{20}},
  year         = {{2012}},
}

@inproceedings{4707,
  author       = {{Janiesch, Christian and Matzner, Martin and Müller, Oliver}},
  booktitle    = {{Lecture Notes in Computer Science}},
  isbn         = {{9783642230585}},
  issn         = {{03029743}},
  keywords     = {{Reference architecture, business activity management, business process analytics, business process management, complex event processing}},
  title        = {{{A blueprint for event-driven business activity management}}},
  doi          = {{10.1007/978-3-642-23059-2_4}},
  year         = {{2011}},
}

@article{11850,
  abstract     = {{In this paper, we present a novel blocking matrix and fixed beamformer design for a generalized sidelobe canceler for speech enhancement in a reverberant enclosure. They are based on a new method for estimating the acoustical transfer function ratios in the presence of stationary noise. The estimation method relies on solving a generalized eigenvalue problem in each frequency bin. An adaptive eigenvector tracking utilizing the power iteration method is employed and shown to achieve a high convergence speed. Simulation results demonstrate that the proposed beamformer leads to better noise and interference reduction and reduced speech distortions compared to other blocking matrix designs from the literature.}},
  author       = {{Krueger, Alexander and Warsitz, Ernst and Haeb-Umbach, Reinhold}},
  journal      = {{IEEE Transactions on Audio, Speech, and Language Processing}},
  keywords     = {{acoustical transfer function ratio, adaptive eigenvector tracking, array signal processing, beamformer design, blocking matrix, eigenvalues and eigenfunctions, eigenvector-based transfer function ratios estimation, generalized sidelobe canceler, interference reduction, iterative methods, power iteration method, reduced speech distortions, reverberant enclosure, reverberation, speech enhancement, stationary noise}},
  number       = {{1}},
  pages        = {{206--219}},
  title        = {{{Speech Enhancement With a GSC-Like Structure Employing Eigenvector-Based Transfer Function Ratios Estimation}}},
  doi          = {{10.1109/TASL.2010.2047324}},
  volume       = {{19}},
  year         = {{2011}},
}

@book{1118,
  abstract     = {{Das wesentliche Ziel der vorliegenden Publikation ist die Erstellung von sprachspezifischen Modulen im Bereich der Biographischen InformationsExtraktion (BiographIE). Unter Informationsextraktion verstehen wir die automatisierte Analyse von Dokumenten im Hinblick auf das Entdecken und Normalisieren von semantisch interessanten Entitäten und deren Eigenschaften.
Das Hauptgewicht der Arbeit liegt auf sehr detaillierten und umfangreichen linguistischen Grammatiken im Bereich der Beschreibung von Personen und deren Beziehungen zu anderen relevanten Entitäten (z.B. Organisationen, Orte, Datums- und Zeitangaben) in Texten. Neben den öffentlichen und privaten Eigenschaften von Personen (Geburtsdatum, Nationalität etc.) sollen vor allem alle biographisch relevanten Attribute aus Texten extrahiert werden können. Dazu gehören in erster Linie berufliche Werdegänge, Anstellungsverhältnisse, Rollen in Firmen und ähnliche Eigenschaften. Da alle diese Attribute in unzählbar verschiedenen Formen ausgedrückt werden können, müssen sehr umfangreiche Lexika und sehr detaillierte grammatische Beschreibungen erstellt werden. Dies geschieht hauptsächlich bei der systematischen Evaluierung von Korpora. Je umfangreicher diese sind, desto adäquater werden die erstellten Grammatiken sein. Im Gegensatz zu den heute üblichen statistischen, auf maschinellem Lernen basierenden Verfahren setzen wir auch umfangreiche semi-automatisch erstellte, linguistische Module ein, die dann durch systematische Evaluierung auf Korpora schnell ergänzt und verbessert werden können.
Basierend auf unseren Extraktionsmethoden ist es nun möglich, im Bereich der semantischen Suche deutliche Fortschritte zu machen. Insbesondere Personensuchmaschinen können sich unsere detaillierten Analysemethoden zu Nutze machen, um beispielsweise zu ermitteln, wer in welcher Funktion bei welcher Firma von wann bis wann beschäftigt war.}},
  author       = {{Geierhos, Michaela}},
  isbn         = {{9783862880133}},
  keywords     = {{Natural Language Processing}},
  pages        = {{286}},
  publisher    = {{Lincom}},
  title        = {{{BiographIE - Klassifikation und Extraktion karrierespezifischer Informationen}}},
  volume       = {{5}},
  year         = {{2010}},
}

