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As the information era progresses, the sheer volume of information calls for sophisticated retrieval systems. Evaluating them holds the key to ensuring the reliability and relevance of retrieved information. If evaluated with renowned methods, the measured quality is generally presumed to be dependable. That said, it is often forgotten that most evaluations are only snapshots in time and the reliability might be only valid for a short moment. Further, each evaluation method makes assumptions about the circumstances of a search and thereby has different characteristics. Achieving reliable evaluation is critical to retain the aspired quality of an IR system and maintain the confidence of the users. Therefore, we investigate how the evaluation environment (EE) evolves over time and how this might affect the effectiveness of retrieval systems. Further, attention is paid to the differences in the evaluation methods and how they work together in a continuous evaluation framework. A literature review was conducted to investigate changing components which are then modeled in an extended EE. Exemplarily, the effect of document and qrel updates on the effectiveness of IR systems is investigated through reproducibility experiments in the LongEval shared task. As a result, 11 changing components together with initial measures to quantify how they change are identifed, the temporal consistency of five IR systems could precisely be quantifed through reproducibility and replicability measures and the findings were integrated into a continuous evaluation framework. Ultimately, this work contributes to more holistic evaluations in IR.
The goal of this work is to detect "gender biases" in the communication of users of Subreddits on the platform Reddit. The analysis is carried out for eleven selected Subreddits. Furthermore, an attempt is made to identify different user types with the help of a k-means clustering and also to analyze "gender biases" in their communication. Based on the aggregated datasets, fasttext Word Embedding models are trained to identify terms that show high semantic relatedness in terms of cosine similarity of their word vectors with selected feminine and masculine terms.
To this end, the terms are analyzed for sentiment using the NRC-VAD Lexicon and tested for statistically significant differences. In addition, the Word Embedding Association Test (WEAT) is performed to check for subliminal associations. In relation to the considered text corpus, it is essentially observed that women are frequently associated with adjectives that associate them with appearances,
childbearing abilities or adaptability also in relation to the family. In contrast, men are associated with and measured by adjectives that refer to their prestige, strengths and weaknesses, career or physical characteristics.
Digitalisation is shaping a new consumption era characterised by high connectivity, mobility and a broad range of easily accessible information on products, prices and alternatives. As a result, it becomes more difficult than ever to understand modern consumers along their complex and dynamic path to purchase. However, mobile data about consumers’ behaviour captured on their phone has high potential for facing this challenge. Yet, there is no solution on how to use this data to follow the consumers on their mobile devices. This thesis proposes a first approach on how mobile data collected with smartphone sensing technology can be analysed to assess mobile consumer behaviour along their customer journey. Based on current practices in customer journey analytics, a mobile customer journey model is developed and three analysis concepts are created, which are implemented in an explorative analysis. The results show that mobile sensing data presents a great opportunity for analysing mobile behaviour in three main research areas: examining the touchpoint performance of a brand across mobile apps, describing different target groups by their smartphone usage behaviour and deriving real customer journeys on users’ devices. Nonetheless, further exploration is necessary to unlock the full potential of mobile data in customer journey analytics.
With the growing scientific output that is produced, its getting more important to automate the extraction of knowledge from articles. This bachelor thesis will describe an approach doing exactly this. Scientific articles will be obtained from a database.
These articles will be preprocessed to gain a set of training data, to update a language model that already exists for Python library spaCy. The model will be trained to recognize different sorts of entities regarding to the virus rabies. After this process the model will be used for ten articles and the extracted knowledge will be used to extend the Open Research Knowledge Graph.
Relevance: Political and private initiatives call for more female founders in start-ups as well as entrepreneurship but with regard to academic research not many studies focused yet on interdisciplinary studies on especially female start-up founders. There is more need to understand the topic to further encourage female founders.
Research question: The research question of this thesis is analysing what kind of patterns can be seen in the entrepreneurial, sociocultural and psychological profile of female founders compared in start-up ecosystems of three different countries, namely Germany, France and Israel?
Approach: I conducted 21 interviews, seven for each city, with a semi-structured guideline focusing on the entrepreneurial, sociocultural and psychological profile. The interviews were transcribed and afterwards analysed by combining the different profiles to find possible patterns. In a final step the observations from each country were compared to one another.
Findings: There are several possible patterns for each country evident. However, a cross-cultural comparison was made difficult by the heterogeneous groups of respondents. It was nevertheless possible to conclude on four crosscultural hypotheses: 1) Female entrepreneurs prefer to work first before starting their own business; 2) The female entrepreneurial profile is risk-taking, purpose-driven, innovative and autonomous; 3) Immigration has a positive effect on the intention to start a business; 4) The majority of female entrepreneurs have a higher education and come from a middle to upper social class.
As a key part of human-computer interaction(HCI) and usability testing, the capturing and recording of key user interaction plays a center role for ensuring a reliable post-hoc analysis of collected user interaction data, thus improving the odds of insightful HCI and usability testing cycles for use cases such as the evaluation of interactive information retrieval Systems(IRR). As such, the practice of logging is of significant importance for multiple fields of study such as IIR, HCI and most recently also Living Lab approaches. Living lab approaches represent a user-centered research methodology with a focus on user involvement, experimental approaches and extensive collaboration for the sake of co-production of knowledge and as such, has a dire need for robust and easy to use logging solutions.
With past logging solutions being either expensive, hard to use or error-prone, recent conferences gave rise to new logging solutions using contemporary web technologies, which aim to improve the logging landscape within the research community. Over the course of this paper, two of these recent logging solutions, LogUI and Big Brother, are to be inspected for their key features and then evaluated, whether they are suitable logging solutions for living lab and IIR environments. Results and research indicate, that both logging solutions offer significant benefits for research using living lab and IIR approaches, with LogUI embracing many of the experimental paradigms that guide the living lab approach.
Research data which is put into long term storage needs to have quality metadata attached so it may be found in the future. Metadata facilitates the reuse of data by third parties and makes it citable in new research contexts and for new research questions. However, better tools are needed to help the researchers add metadata and prepare their data for publication. These tools should integrate well in the existing research workflow of the scientists, to allow metadata enrichment even while they are creating, gathering or collecting the data. In this thesis an existing data publication tool from the project DARIAH-DE was connected to a proven file synchronization software to allow the researchers prepare the data from their personal computers and mobile devices and make it ready for publication. The goal of this thesis was to find out whether the use of file synchronization software eases the data publication process for the researchers.
Analysing the systematics of search engine autocompletion functions by means of data mining methods
(2017)
In the internet era, the information that can be found about politicians online can influence
events such as the results of elections. Research has shown that biased search rankings can
shift the voting preferences of undecided voters. This shows the importance of studying
online search behaviour, especially in the pre-elections phase, when search results can
have a particular influence on the future political scene of a country.
This master thesis aimed to study the behaviour of online search engines in a period before
the German federal election in 2017. The aim was to ascertain if there is any pattern to be
found in the auto-suggestions for searches related to politicians.
In order to gather data for this experiment, a crawler browsed search engine web pages,
input a name and a surname of a politician, and saved that together with all autosuggestions
from the search engine. The autosuggestions were prepared for the analysis and
divided into semantic groups with the help of clustering algorithms.
Different statistical methods, such as correlation analysis, regression analysis, and clustering
were used to identify patterns in the data. The research showed that there are
no particularly strong patterns in the autosuggestions for searches related to politician’s
names. Only moderate dependence was found between gender and personal topics, and
showed that a higher amount of personal information autosuggestions correspond more
to female politicians.
As technology advances, the services offered by libraries and the roles of
librarians continue being reconsidered. This paper describes the traditional
model and development of liaison and embedded librarians, examines the
online visibility of liaison librarians and their services in an embedded sense,
especially regarding instruction, of selected Canadian Academic Libraries, and
provides a short view to German libraries and their subject librarians.
It has been shown that even if not clearly a development of liaison librarians to
certain embedment is emphasized for each library, it at least evolves to a usercentered
approach and a preference to stronger collaborations. The selected
libraries seek to broaden their scope of partnerships. In which deepness it is
realized, lastly depends on the willingness of both participators and capacities.
Libraries have stated their flexibility in various ways and are ready to step in at
the point of need. The one closest to embedded services is the instruction of
information literacy as its effectiveness requests a longer relationship in order to
flourish. Nevertheless research support in Health Sciences obviously has
become an integral part.
Präsentation des Vortrags "The role of OiF in the American library world", über die Arbeit des Office of Intellectual Freedom (Chicago) der ALA, gehalten am 6. Mai 2015 an der Fachhochschule Köln im Rahmen des berufsbegleitenden Masterstudiengangs "Bibliotheks- und Informationswissenschaft".
Kein Abstract vorhanden.
In the last few years the issue of curation of research data has become a topic of enhanced interest in scientific communities. But there is no clear understanding of how to deal with curation of research data. Regarding the situation in Germany, there was no clear picture of the methods that different academic disciplines use to preserve and curate their research data. Even more there was no clear understanding and consensus which role libraries could or should play in this issue. A baseline study was conducted in cooperation with nestor and the D-Grid GmbH in Germany. The study gives more stable data to scientists, service infrastructure experts and politicians to foster strategic concepts for digital curation and preservation in and between the disciplines. The survey addressed eleven disciplines including the humanities, social sciences, psycholinguistics, pedagogics, classical studies, geoscience, climate research, biodiversity, particle physics, astronomy and medicine. Results can be seen as more or less representative for the situation in Germany. Findings show that libraries and data centers are involved but there is no clear result on the role libraries should or will play in the field. Libraries which are in close connection to scientists have an advantage in being addressed as institutions responsible for digital curation and preservation. Librarian’s competences regarding research data still have to be proofed. Nevertheless individual scientists and research data centers might need librarian´s expertise regarding the application of metadata standards and the provision of services in connection with the research data curated by institutions. Qualification and training regarding curation of research data is still at its beginning and should be addressed by programs of universities.
Digital curation is currently not very well covered by university curricula in the German speaking countries. Nevertheless there is a strong demand for well-educated staff in this field. As part of the project “nestor”, a transnational partnership of academic institutions in Germany, Switzerland, and Austria, a comprehensive qualification program based on e-learning tutorials, schools, seminars, and publications has been established to meet this demand.
In recent years, access to and curation of research data have become a topic of discussion in national and international think tanks and advisory groups. There are various concepts and suggestions to stimulate and improve competences in dealing with research data. In addition, semantic web technologies and Linked Open Data are raising the awareness for access to data and environments in which data can be processed, retrieved, reused and preserved. Competences in dealing with these challenges will extend the scope of work and the tasks not only of researchers but of librarians as well. In the context of a survey on digital preservation of research data in Germany, research data-related tasks have been identified and consequences for the scope of library activities and qualification needs of librarians have been suggested. Competences in collecting, describing, and processing domain-related data in connection with other activities in digital curation of research data gain in importance. LIS (Library and Information Science) curricula should cover these extended qualification needs.
Several cultural heritage institutions all around the world have set up special services, trainings, courses or programs focusing on curation of digital material. Digital curation is a multifaceted task with a great variety of responsibilities, preconditions and objectives. For the first time in this field the DigCurV project offers a framework to locate competences and skills related to vocational education and training regarding digital curation processes. Referring to this framework should be a good starting point for differentiated educational activities focusing on special target groups, their educational background, the objectives of the digital curation process, and the material which has to be curated. Based on this, additional frameworks comprising these educational activities can be set up – still referring to the DigCurV framework partially or in total. This will offer the opportunity to compare educational activities regarding content and the results achieved. Beside these efforts regarding content and concepts of digital curation education there is another ongoing challenge: getting people involved and making them eager to curate (their) digital material properly. The curation job is hardly glamorous or much admired. For the most part it is a service-oriented back office activity demanding functionality and perfection. For a long time, specialists will be needed – and will need qualified training – to meet these requirements. Increasing awareness of the need for digital curation by professionals and the public offers opportunities to get digital curation professionals and their skills involved even in everyone’s working environment.
Kein Abstract vorhanden.
Kein Abstract vorhanden.
This thesis examines how financial institutions can address outcomes of the global financial crisis (GFC) such as mistrust of customers and ambitious requirements of regulations such as Basel III. Moreover, the market is facing a dramatic sociocultural change which creates the necessity to realign retail banks’ strategies. It will be outlined why social media is an important trend for the financial sector and which methods can be used to achieve a competitive advantage through customer-centricity. On the one hand the financial sector will be analysed to determine which of Porter’s five forces are shaping it. On the other hand, it will be shown how social media can be used to achieve a competitive advantage. This thesis will find out that social media is an important medium for retail banks to gain back customers’ trust in financial institutions and to focus on the customers’ needs. By engaging customers on social media platforms such as Facebook or Twitter, financial institutions can even create value beyond financial products and increase their innovative drive. Best practice examples of Banks such as CBA, ING Direct, Wells Fargo, and ICICI prove that. The implications are that social media gives customers the power to shape the bank of tomorrow and in turn banks can gain valuable insights into customers’ needs. Financial products and services will make more use of social media platforms and increase customers’ engagement through sharing, commenting and liking.