186 research outputs found
Towards a Top-K SPARQL Query Benchmark Generator
No full textThe research on optimization of top-k SPARQL query would largely benefit from the establishment of a benchmark that allows comparing different approaches. For such a benchmark to be meaningful, at least two requirements should hold: 1) the benchmark should resemble reality as much as possible, and 2) it should stress the features of the topk SPARQL queries both from a syntactic and performance perspective. In this paper we propose Top-k DBPSB: an extension of the DBpedia SPARQL benchmark (DBPSB), a benchmark known to resemble reality, with the capabilities required to compare SPARQL engines on top-k queries
Enterprise Crowd Computing for Human Aided Chatbots
No full textchatbot is an example of cognitive computing system that emulates human conversations to provide informational, transactional,and conversational services. Despite their widespread adoption, chatbots still suffer from a number of performance issue due to limitations with their programming and training. In this paper we discuss Human Aided Chatbots, i.e. chatbots that rely on humans in the loop to operate. Human Aided Chatbots exploit human intelligence, brought for instance by crowd workers or full-time employees, to fill the gaps caused by limitations of fully automated solutions. A recent example of Human Aided Chatbots is Facebook M. To achieve broader adoption, Human Aided Chatbots must overcome a number of issues, including scalability, low-latency, and privacy. In this short paper, we discuss how Crowd Computing performed in the enterprise could help overcoming such issues. We present some recentfi ndings in thefi eld of Enterprise Crowd Computing, and introduce ECrowd, a platform for enterprise crowd computingdesigned for gathering training data for cognitive systems.Accepted author manuscriptWeb Information System
Project Creation: Final report
No full textComputer ScienceElectrical Engineering, Mathematics and Computer Scienc
Magnet.me IT Infrastructure Reorganization
No full textThe Bachelor Project assignment of internet startup Magnet.me, fulfilled by Tiddo Langerak and Alex Walterbos, consisted of the replacement of the IT infrastructure in the company. Before designing the new system, the old system was analyzed. Based on this analysis, a list of requirements was formed. The system has been designed so that it fulfills a significant amount of the requirements per definition: Using modern techniques like the Node.js platform, the AngularJS framework, Redis caching and an Nginx webserver, a high performance RESTful IT infrastructure was built. This design includes a server side service for business logic calculation and a Content Management System for internal usage. Using this system, Magnet.me hopes to grow substantially without being held back by technology. (Performance) tests have shown a significant improvement over the old system. The system is set up to be flexible, maintainable and reliable. Its performance is of a grade that, according to early estimations, should even be able to support international traffic. The Magnet.me management has already expressed their satisfaction with the systems performance, even before the system has been implemented completely.Computer ScienceWeb Information SystemsElectrical Engineering, Mathematics and Computer Scienc
FleXentral: Managing the contingent workforce
No full textThe market for contingent workers grows every year. Managing this workforce gets more and more challenging because of regulatory compliance, the difficulty of finding matching employees, and keeping track of expenses. FleXentral tries to be a platform that solves these issues. The goal of this project was to build a proof-of-concept of this concept, that can be used to show the potential to customers, but that will also be used as a basis for the final application. We created a set of requirements together with our client that such a system would require, and built the first version in a span of 10 weeks. This version includes a matching module that matches flexworkers to project-managers based on their competences, a negotiation module that simplifies the process of creating a contract and a reporting module where financial and compliance data can be inspected on an organizational-, project- and personal level. The final product we delivered during this project has basic versions of these systems implemented as a modern, responsive web-application. It is far from production ready, but it is demo-ready for potential customers, and of good quality to form a strong foundation for creating a production-ready platform. We recommend that for further development, the focus should be in four directions: the matching algorithm, the compliance module, user testing and non-functional requirements as maintainability and scalability. Each of these directions should be a cycle of continuous improvement.Electrical Engineering, Mathematics and Computer ScienceSoftware EngineeringComputer Scienc
City Usage Analysis using Social Media
No full textOver the last few years, social media have become part of the daily life of many people, leading scientists to study their users and the data they produce in numerous contexts. For instance, geo-enabled social media provide us with the means to study the dynamics and features of large geographical areas. In this thesis, our goal is to leverage social media to study cities, and their usage by people of different origin (e.g. citizens vs. tourists) and demographics. We design and implement a system that uses Twitter and Instagram as data sources, defining and extracting several features about the city and its users, such as finding points of interests, paths, differentiating users in gender, age, and their role in the city. We also build a proof of concept visualization tool that allows non-scientific users to analyze a city using our extracted data. The system is used for an in-depth analysis, where we compare the usage, as observed through the lens of social media, of cities like Amsterdam, London, Paris, and Rome over a three week period on both Twitter and Instagram. We show that, through social media, it is possible to observe differences in usage patterns, both in the temporal sense, but also in regards to the places that are visited in the city.Web Information SystemsElectrical Engineering, Mathematics and Computer Scienc
Moody Closet
No full textThis paper introduces Moody Closet, a mobile application for the management of a personal wardrobe with a personalized outfit recommender. To provide incentive for the users to add content and express their preferences, the system provides an easy and enjoyable interaction, which delivers new perspectives on their closets. In particular, we focus on the mood of the wearer, which is considered to be an intriguing trigger capable of prompting the contribution of information needed to fuel a recommendation system. An exploratory study with a small set of users provides an initial demonstration that the concept has the potential to fascinate users and motivate them to contribute content.Computer ScienceElectrical Engineering, Mathematics and Computer Scienc
Towards Memorable Information Retrieval
No full textInformation overload is a problem many of us can relate to nowadays. The deluge of user generated content on the Internet, and the easy accessibility to a vast amount of data compounds the problem of remembering and retaining information that is consumed. To make information consumed more memorable, strategies such as note-taking have been found to be effective by augmenting human memory under specific conditions. This is based on the rationale that humans tend to recall information better if they have produced the information themselves. Previous works in online education have shown that conversational systems can improve learning effects. Although memorization is an important part of learning, the effect of conversation on human memorability remains unexplored. We aim to address this knowledge gap through an experimental study, by investigating human memorability in a classical information retrieval setup. We explore the impact of note-taking affordances and conversational interfaces on the memorability of information consumed by users. Our results show that traditional web search and note-taking have positive effects on knowledge gain, while the search engine with a conversational interface has the potential to augment long-term memorability. This work highlights the benefits of using note-taking and conversational interfaces to aid human memorability. Our findings have important implications on building information retrieval systems that cater to optimizing memorability of information consumed.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Web Information SystemsHuman-Centred Artificial Intelligenc
Project COAT End Report
No full textThe end report of our bachelor's project (Computer Science) that we performed at the company CHAINels.Computer ScienceElectrical Engineering, Mathematics and Computer Scienc
Crowdfunding Platform for Events
No full textElectrical Engineering, Mathematics and Computer ScienceSoftware TechnologyTI380
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