@inproceedings{1137, abstract = {{In this paper, we present a system which makes scientific data available following the linked open data principle using standards like RDF and URI as well as the popular D2R server (D2R) and the customizable D2RQ mapping language. Our scientific data sets include acronym data and expansions, as well as researcher data such as author name, affiliation, coauthors, and abstracts. The system can easily be extended to other records. Regarding this, a domain adaptation to patent mining seems possible. For this reason, obvious similarities and differences are presented here. The data set is collected from several different providers like publishing houses and digital libraries, which follow different standards in data format and structure. Most of them are not supporting semantic web technologies, but the legacy HTML standard. The integration of these large amounts of scientific data into the Semantic Web is challenging and it needs flexible data structures to access this information and interlink them. Based on these data sets, we will be able to derive a general technology trend as well as the individual research domain for each researcher. The goal of our Linked Open Data System for scientific data is to provide access to this data set for other researchers using the Web of Linked Data. Furthermore we implemented an application for visualization, which allows usto explorethe relations between single data sets.}}, author = {{Bäumer, Frederik Simon and Gim, Jangwon and Jeong, Do-Heon and Geierhos, Michaela and Jung, Hanmin}}, booktitle = {{Proceedings of the First International Workshop on Patent Mining and Its Applications (IPaMin 2014) co-located with Konvens 2014}}, editor = {{Jung, Hanmin and Mandl, Thomas and Womsen-Hacker, Christa and Xu, Shuo}}, issn = {{16130073}}, keywords = {{Linked Open Data, Researcher Data, Acronym Data, D2R}}, location = {{Hildesheim, Germany}}, publisher = {{CEUR-WS.org}}, title = {{{Linked Open Data System for Scientific Data Sets}}}, volume = {{1292}}, year = {{2014}}, } @inproceedings{1140, abstract = {{Customized planning, engineering and build-up of factory plants are very complex tasks, where project management contains lots of risks and uncertainties. Existing simulation techniques could help massively to evaluate these uncertainties and achieve improved and at least more robust plans during project management, but are typically not applied in industry, especially at SMEs (small and medium-sized enterprises). This paper presents some results of the joint research project simject of the Universities of Paderborn and Kassel, which aims at the development of a demonstrator for a simulation-based and logistic-integrated project planning and scheduling. Based on the researched state-of-the-art, requirements and a planning process are derived and described, as well as a draft of the current technical infrastructure of the intended modular prototype. First plug-ins for project simulation and multi-project optimization are implemented and already show possible benefits for the project management process.}}, author = {{Gutfeld, Thomas and Jessen, Ulrich and Wenzel, Sigrid and Weber, Jens}}, booktitle = {{Proceedings of the 2014 Winter Simulation Conference}}, editor = {{Tolk, Andreas and Diallo, Saikou Y. and Ryzhov, Ilya O. and Yilmaz, Levent and Buckley, Stephen J. and Miller, John A.}}, isbn = {{9781479974863}}, location = {{Savannah, GA, USA}}, pages = {{3423--3434}}, publisher = {{IEEE Press}}, title = {{{A Technical Concept for Plant Engineering by Simulation-Based and Logistic-Integrated Project Management}}}, doi = {{10.1109/WSC.2014.7020175}}, year = {{2014}}, } @inproceedings{1127, abstract = {{The conceptual condensability of technical terms permits us to use them as effective queries to search scientific databases. However, authors often employ alternative expressions to represent the meanings of specific terms, in other words, Terminological Paraphrases (TPs) in the literature for certain reasons. In this paper, we propose an effective way to retrieve “de facto relevance documents” which only contain those TPs and cannot be searched by conventional models in an environment with only controlled vocabularies by adapting Predicate Argument Tuple (PAT). The experiment confirms that PAT-based document retrieval is an effective and promising method to search those kinds of documents and to improve terminology-based scientific information access models.}}, author = {{Choi, Sung-Pil and Song, Sa-kwang and Jung, Hanmin and Geierhos, Michaela and Myaeng, Sung Hyon}}, booktitle = {{Information Science and Industrial Applications: Proceedings, International Conference, ISI 2012, Cebu, Philippines, May 2012}}, editor = {{Chang, Chin-Chen and Gelogo, Yvette E. and Caytiles, Ronnie E.}}, issn = {{22871233}}, location = {{Cebu, Philippines}}, pages = {{371--378}}, publisher = {{SERSC}}, title = {{{Scientific Literature Retrieval based on Terminological Paraphrases using Predicate Argument Tuple}}}, volume = {{4}}, year = {{2012}}, } @inproceedings{1128, abstract = {{Our purpose is to perform data record extraction from onlineevent calendars exploiting sublanguage and domain characteristics. We therefore use so-called domain-dependent data (D³) completely based on language-specific key expressions and HTML patterns to recognize every single event given on the investigated web page. One of the most remarkable advantages of our method is that it does not require any additional classification steps based on machine learning algorithms or keyword extraction methods; it is a so-called one-step mining technique. Moreover, another important criteria is that our system is robust to DOM and layout modifications made by web designers. Thus, preliminary experimental results are provided to demonstrate proof-of-concept of such an approach tested on websites in the German opera domain. Furthermore, we could show that our proposed technique outperforms other data record mining applications run on event sites.}}, author = {{Lee, Yeong Su and Geierhos, Michaela and Song, Sa-Kwang and Jung, Hanmin}}, booktitle = {{Software Technology: Prooceedings, International Conference, SoftTech 2012, Cebu, Philippines, May 2012}}, editor = {{Chang, Chin-Chen and Gelogo, Yvette E. and Caytiles, Ronnie E.}}, issn = {{22871233}}, location = {{Cebu, Philippines}}, pages = {{134--139}}, publisher = {{SERSC}}, title = {{{A Proof-of-Concept of D³ Record Mining using Domain-Dependent Data}}}, volume = {{5}}, year = {{2012}}, } @inbook{1129, abstract = {{Within this chapter, we will describe a novel technical service dealing with the integration of social networking channels into existing business processes. Since many businesses are moving to online communities as a means of communicating directly with their customers, social media has to be explored as an additional communication channel between individuals and companies. While the English-speaking consumers on Facebook are more likely to respond to communication rather than to initiate communication with an organisation, some German companies already have regularly updated Facebook pages for customer service and support, e.g. Telekom. Therefore, the idea of classifying and evaluating public comments addressed to German companies is based on an existing demand. In order to maintain an active Facebook wall, the consumer posts have to be categorised and then automatically assigned to the corresponding business processes (e.g. the technical service, shipping, marketing, accounting, etc.). This service works like an issue tracking system sending e-mails to the corresponding person in charge of customer service and support. That way, business process management systems which are already used to e-mail communication can benefit from social media. This allows the company to follow general trends in customer opinions on the Internet; moreover it facilates the recording of two-sided communication for customer relationship management and the company’s response will be delivered through consumer’s preferred medium: Facebook.}}, author = {{Geierhos, Michaela and Ebrahim, Mohamed}}, booktitle = {{Computational Social Networks: Tools, Perspectives and Applications}}, editor = {{Abraham, Ajith and Hassanien, Aboul-Ella }}, isbn = {{9781447140474}}, pages = {{367--389}}, publisher = {{Springer}}, title = {{{Customer Interaction Management goes Social: Getting Business Processes plugged in Social Networks}}}, doi = {{10.1007/978-1-4471-4048-1_15}}, year = {{2012}}, } @inproceedings{1119, author = {{Geierhos, Michaela and Lee, Yeong Su and Schuster, Jörg and Kobothanassi, Despina and Bargel, Matthias}}, booktitle = {{Proceedings of the 22nd ACM Conference on Hypertext and Hypermedia}}, editor = {{De Bra, Paul and Grønbæk, Kaj}}, location = {{Eindhoven, The Netherlands}}, publisher = {{ACM}}, title = {{{A Social Media Customer Service}}}, year = {{2011}}, } @inproceedings{1120, abstract = {{SCM is a simple, modular and flexible system for web monitoring and customer interaction management. In our view, its main advantages are the following: It is completely web based. It combines all technologies, data, software agents and human agents involved in the monitoring and customer interaction process. It can be used for messages written in any natural language. Although the prototype of SCM is designed for classifying and processing messages about mobile-phone related problems in social networks, SCM can easily be adapted to other text types such as discussion board posts, blogs or emails. Unlike comparable systems, SCM uses linguistic technologies to classify messages and recognize paraphrases of product names. For two reasons, product name paraphrasing plays a major role in SCM: First, product names typically have many, sometimes hundreds or thousands of intralingual paraphrases. Secondly, product names have interlingual paraphrases: The same products are often called or spelt differently in different countries and/or languages. By mapping product name variants to an international canonical form, SCM allows for answering questions like Which statements are made about this mobile phone in which languages/in which social networks/in which countries/...? The SCM product name paraphrasing engine is designed in such a way that standard variants are assigned automatically, regular variants are assigned semiautomatically and idiosyncratic variants can be added manually. With this and similar features we try to realize our philosophy of simplicity, modularity and flexibility: Whatever can be done automatically is done automatically. But manual intervention is always possible and easy and it does not conflict in any way with the automatic functions of SCM.}}, author = {{Schuster, Jörg and Lee, Yeong Su and Kobothanassi, Despina and Bargel, Matthias and Geierhos, Michaela}}, booktitle = {{International Conference on Information Society (i-Society 2011)}}, isbn = {{978-1-61284-148-9}}, keywords = {{Social Media Business Integration, Contact Center Application Support, Monitoring Social Conversations, Social Customer Interaction Management, Monitoring, Software Agents}}, location = {{London, UK}}, pages = {{153--158}}, publisher = {{IEEE}}, title = {{{SCM - A Simple, Modular and Flexible Customer Interaction Management System}}}, year = {{2011}}, } @inbook{1121, abstract = {{This paper presents a novel linguistic information extraction approach exploiting analysts’ stock ratings for statistical decision making. Over a period of one year, we gathered German stock analyst reports in order to determine market trends. Our goal is to provide business statistics over time to illustrate market trends for a user-selected company. We therefore recognize named entities within the very short stock analyst reports such as organization names (e.g. BASF, BMW, Ericsson), analyst houses (e.g. Gartner, Citigroup, Goldman Sachs), ratings (e.g. buy, sell, hold, underperform, recommended list) and price estimations by using lexicalized finite-state graphs, so-called local grammars. Then, company names and their acronyms respectively have to be cross-checked against data the analysts provide. Finally, all extracted values are compared and presented into charts with different views depending on the evaluation criteria (e.g. by time line). Thanks to this approach it will be easier and even more comfortable in the future to pay attention to analysts’ buy/sell signals without reading all their reports.}}, author = {{Lee, Yeong Su and Geierhos, Michaela}}, booktitle = {{Modeling and Using Context: 7th International and Interdisciplinary Conference, CONTEXT 2011, Karlsruhe, Germany, September 26-30, 2011, Proceedings}}, editor = {{Beigl, Michael and Christiansen, Henning and Roth-Berghofer, Thomas R. and Kofod-Petersen, Anders and Coventry, Kenny R. and Schmidtke, Hedda R.}}, isbn = {{9783642242786}}, location = {{Karlsruhe, Germany}}, pages = {{173--184}}, publisher = {{Springer}}, title = {{{Buy, Sell, or Hold? Information Extraction from Stock Analyst Reports}}}, doi = {{10.1007/978-3-642-24279-3_19}}, volume = {{6967}}, year = {{2011}}, } @inproceedings{1122, abstract = {{Within this paper, we will describe a new approach to customer interaction management by integrating social networking channels into existing business processes. Until now, contact center agents still read these messages and forward them to the persons in charge of customer’s in the company. But with the introduction of Web 2.0 and social networking clients are more likely to communicate with the companies via Facebook and Twitter instead of filling data in contact forms or sending e-mail requests. In order to maintain an active communication with international clients via social media, the multilingual consumer contacts have to be categorized and then automatically assigned to the corresponding business processes (e.g. technicalservice, shipping, marketing, and accounting). This allows the company to follow general trends in customer opinions on the Internet, but also record two-sided communication for customer relationship management.}}, author = {{Geierhos, Michaela and Lee, Yeong Su and Bargel, Matthias}}, booktitle = {{Multilingual Resources, Multilingual Applications: Proceedings of the Conference of the German Society for Computational Linguistics and Language Technology (GSCL) 2011}}, editor = {{Hedeland, Hanna and Schmidt, Thomas and Wörner, Kai}}, issn = {{0176-599X}}, keywords = {{Classification of Multilingual Customer Contacts, Contact Center Application Support, Social Media Business Integration}}, location = {{Hamburg, Germany}}, pages = {{219--222}}, publisher = {{University of Hamburg}}, title = {{{Processing Multilingual Customer Contacts via Social Media}}}, volume = {{96}}, year = {{2011}}, } @inproceedings{1123, abstract = {{Within this paper, we describe the special requirements of a semantic annotation scheme used for biographical event extraction in the framework of the Europeancollaborative research project Biographe. This annotationscheme supports interlingual search for people due to its multilingual support covering four languages such as English, German, French and Dutch.}}, author = {{Geierhos, Michaela and Bouraoui, Jean-Leon and Watrin, Patrick}}, booktitle = {{Multilingual Resources, Multilingual Applications. Proceedings of the Conference of the German Society for Computational Linguistics and Language Technology (GSCL) 2011}}, editor = {{Hedeland, Hanna and Schmidt, Thomas and Wörner, Kai}}, issn = {{0176-599X}}, keywords = {{Biographical Event Extraction for Interlingual People Search, Semantic Annotation Scheme}}, location = {{Hamburg, Germany}}, pages = {{45--50}}, publisher = {{University of Hamburg}}, title = {{{Towards Multilingual Biographical Event Extraction}}}, volume = {{96}}, year = {{2011}}, } @article{1125, abstract = {{Since customers first share their problems with a social networking community before directly addressing a company, social networking sites such as Facebook, Twitter, MySpace or Foursquare will be the interface between customer and company. For this reason, it is assumed that social networks will evolve into a common communication channel – not only between individuals but also between customers and companies. However, social networking has not yet been integrated into customer interaction management (CIM) tools. In general, a CIM application is used by the agents in a contact centre while communicating with the customers. Such systems handle communication across multiple different channels, such as e-mail, telephone, Instant Messaging, letter etc. What we do now is to integrate social networking into CIM applications by adding another communication channel. This allows the company to follow general trends in customer opinions on the Internet, but also record two-sided communication for customer service management and the company’s response will be delivered through the customer’s preferred social networking site.}}, author = {{Geierhos, Michaela}}, issn = {{17982340}}, journal = {{Journal of Advances in Information Technology}}, keywords = {{Social Media Business Integration, Multichannel Customer Interaction Management, Contact Centre Application Support}}, number = {{4}}, pages = {{222--233}}, publisher = {{Engineering and Technology Publishing (ETPub)}}, title = {{{Customer Interaction 2.0: Adopting Social Media as Customer Service Channel}}}, doi = {{10.4304/jait.2.4.222-233}}, volume = {{2}}, year = {{2011}}, } @inproceedings{26369, author = {{Lee, Yeong Su and Geierhos, Michaela}}, isbn = {{978-3-642-24278-6}}, pages = {{173–184}}, publisher = {{Springer}}, title = {{{ Buy, Sell, or Hold? Information Extraction from Stock Analyst Reports}}}, volume = {{6967}}, year = {{2011}}, } @inproceedings{26376, author = {{Schuster, J{\"o}rg and Lee, Yeong Su and Kobothanassi, Despina and Bargel, Matthias and Geierhos, Michaela}}, booktitle = {{Proceedings of the International Conference on Information Society (i-Society 2011)}}, isbn = {{978-0-9564263-8-3}}, pages = {{153--158}}, publisher = {{IEEE}}, title = {{{SCM - A Simple, Modular and Flexible Customer Interaction Management System}}}, year = {{2011}}, } @inproceedings{26377, author = {{Geierhos, Michaela and Lee, Yeong Su and Schuster, J{\"o}rg and Kobothanass, Despina and Bargel, Matthias}}, publisher = {{ACM}}, title = {{{A Social Media Customer Service}}}, year = {{2011}}, } @article{26363, author = {{Geierhos, Michaela}}, issn = {{1798-2340}}, journal = {{Journal of Advances in Information Technology (JAIT)}}, number = {{4}}, pages = {{222--233}}, title = {{{Customer Interaction 2.0: Adopting Social Media as Customer Service Channel}}}, volume = {{2}}, year = {{2011}}, } @inproceedings{26366, author = {{Geierhos, Michaela}}, booktitle = {{Proceedings of the 30th International Conference on Lexis and Grammar 2011}}, pages = {{123--130}}, title = {{{Towards a Local Grammar-based Persondata Generator for Wikipedia Biographies}}}, year = {{2011}}, } @article{26368, author = {{Geierhos, Michaela and Bouraoui, Jean-Leon and Watrin, Patrick}}, issn = {{0176-599X}}, journal = {{Arbeiten zur Mehrsprachigkeit / Folge B}}, pages = {{45--50}}, title = {{{Towards Multilingual Biographical Event Extraction}}}, volume = {{96}}, year = {{2011}}, } @article{26367, author = {{Geierhos, Michaela and Lee, Yeong Su and Bargel, Matthias}}, issn = {{0176-599X}}, journal = {{Arbeiten zur Mehrsprachigkeit / Folge B}}, pages = {{219--222}}, title = {{{Processing Multilingual Customer Contacts via Social Media}}}, volume = {{96}}, year = {{2011}}, } @inbook{1117, author = {{Geierhos, Michaela and Blanc, Olivier}}, booktitle = {{Actes du 27e Colloque international sur le lexique et la grammaire (L’Aquila, 10-13 septembre 2008)}}, editor = {{De Gioia, Michele}}, isbn = {{9788854831667}}, location = {{Rome, Italy}}, pages = {{95--110}}, publisher = {{Aracne}}, title = {{{BiographIE - Biographical Information Extraction from Business News}}}, volume = {{2}}, year = {{2010}}, } @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}}, }