Browsing by Author "Hyvönen, Eero"

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  • 5G mobile network characteristics and measurement using Android
    (2022-04-14) Munter, Henri
     Perustieteiden korkeakoulu | Bachelor's thesis
  • A peek into the black box: Menetelmiä mustalaatikkomallien tutkimiseksi
    (2019-06-18) Orre, Ari
     Perustieteiden korkeakoulu | Bachelor's thesis
  • AATOS – A configurable tool for automatic annotation
    (2017) Tamper, Minna; Leskinen, Petri; Ikkala, Esko; Oksanen, Arttu; Mäkelä, Eetu; Heino, Erkki; Tuominen, Jouni; Koho, Mikko; Hyvönen, Eero
     A4 Artikkeli konferenssijulkaisussa
    This paper presents an automatic annotation tool AATOS for providing documents with semantic annotations. The tool links entities found from the texts to ontologies defined by the user. The application is highly configurable and can be used with different natural language Finnish texts. The application was developed as a part of the WarSampo (http://seco.cs.aalto.fi/projects/sotasampo/en/) and Semantic Finlex (http://seco.cs.aalto.fi/projects/lawlod/en/) projects and tested using Kansa Taisteli magazine articles and consolidated Finnish legislation of Semantic Finlex. The quality of the automatic annotation was evaluated by measuring precision and recall against existing manual annotations. The results showed that the quality of the input text, as well as the selection and configuration of the ontologies impacted the results.
  • Advanced Data Fetching with GraphQL: Case Bakery Service
    (2019-03-11) Taskula, Teemu
     Perustieteiden korkeakoulu | Master's thesis
    In today's world building modern applications for multiple environments requires deep knowledge of advanced data fetching solutions. While many longstanding technologies, such as REST and SOAP, have provided robust solutions for most use cases a more advanced data fetching solution is still needed to alleviate issues in efficiency, complexity, and maintainability of current web services. This thesis studies and compares two data fetching approaches: REST and GraphQL in the context of a case study for a web application, called Bakery Service, which possess several issues related to data fetching in its current REST API. An experiment was conducted by first creating separate API implementations for REST and GraphQL. Then the data fetching performance was measured by fetching a single recipe, extracted from the Bakery Service, followed by calculating the total network time of all requests in conjunction with the total size of the response payload and the data utilization percentages based on predetermined set of recipe fields. Additionally, the complexity and maintainability of both technologies were analyzed to gain a better understanding of the non-measurable qualities. The results of the experiment showed that GraphQL performed considerably better than REST in most test cases. Only REST with field level filtering was able to overcome GraphQL in the data utilization part of the test. Also, the qualitative analyzing hinted that by adopting GraphQL the complexity of an API could be reduced while additionally gaining enhanced development capabilities. These results resemble the findings from other similar studies and strengthen the conclusion that GraphQL can be proposed as an advanced data fetching solution for modern data-heavy applications. However, some future work is needed to broaden the study to take aspects such as caching, mutations, and security into account.
  • Advancements in video game graphics
    (2021-12-20) Jokila, Jeremias
     Perustieteiden korkeakoulu | Bachelor's thesis
  • Advancing Disambiguation of Actors Against Multiple Linked Open Data Sources
    (2023-10-09) Wahjoe, Muhammad
     Perustieteiden korkeakoulu | Master's thesis
    Disambiguation is an important step in the semantic data transformation process. In this scope, the process sought to eliminate the ambiguity of which person a record is describing. \emph{Constellation of Correspondence} or CoCo is a data integration project focused on historical epistolary data. In its data transformation flow, actor records from source data are linked to actor entities in an external linked open data source to enrich the actors' information with metadata found in external databases. This work presents an advanced disambiguation system for CoCo data transformation flow. The system has managed to deliver a reliable and flexible linking system that provides advantages,hi such as the incorporation of an additional external database, novel linking rule definition and implementation, and a more transparent linking result provenance presentation and management. This work also evaluates linking process performance in various linking cases by employing the help of a human expert judge to evaluate whether the proposed valid link made by the linking systems are indeed accurate or not. The system and the proposed rule configuration delivers a satisfactory performance on the easier, more common case but still struggles to deliver good precision on rarer edge cases. There are insightful observations made regarding the data that was observed during the development and evaluation of the system. Firstly is the importance of naming similarity in determining a link between two actors and the imperfection of name similarity in the majority of the valid linking case. This observation justifies the need for dissimilarity tolerance in naming comparison despite the importance of naming similarity. This imperfect state of the systems inspires the several future works that this work proposes. The proposed future works are the further fine-tuning of the linking rule and selection rule and the advancing the evaluation by increasing the completeness of the evaluation and the research of a more automated evaluation process.
  • Advantages of the data warehouse model: Case study for small and medium-sized companies
    (2015-06-10) Rajamaa, Kaarle
     Sähkötekniikan korkeakoulu | Master's thesis
  • Aiding Software Project Staffing by Utilizing Recommendation Systems
    (2020-08-18) Asikainen, Aleksi
     Perustieteiden korkeakoulu | Master's thesis
    Both staffing and recruiting have become more sophisticated during the 2000s. The amount of data and different scenarios, that needs to be processed during recruitment and staffing, has become huge thanks to the introduction of different resource and recruitment management software to companies recruitment pipelines. Multitudes of different solutions have been proposed to assist decision making in recruiting and staffing through the use of recommendation systems. They have been proven to increase the accuracy and speed of recruitment decisions with multiple different setups. One of the key points arising from previous research is the importance of underlying data used in the recommendation process as the recommendation can be only as accurate as the data is. This thesis starts with key concepts behind the recommendation systems that can be leveraged as well as ranking schemes that can be used. Then a short peek is taken into existing work on recommender system-aided staffing and the peculiarities that case Futurice imposes on the problem, Futurice's current staffing process is also introduced with company culture and existing practices and tools in mind. Also, different technical options are explored with their up and downsides explained for this particular task. This thesis evaluates the feasibility of a recommendation system powered staffing assistant by implementing a recommender system-aided staffing finder for Futurice internal use and measure its feasibility and accuracy through expert interview and data analysis. The solution in the form of implementation is presented to aid Futurice's staffing workflow. The presented hybrid recommendation system produces results either based on given skill input or input in the form of another person by leveraging information about the employees already collected during Futurice's normal staffing process. The recommendation system's performance is evaluated through an expert interview as well as data analysis. The solution is shown to provide the desired functionalities that were requested by the staffers and proves to be feasible for the task it was implemented while emphasizing the importance of used data and careful consideration of the case it will be used for.
  • Akatemiasampo-portaali ja -datapalvelu henkilöiden ja henkilöryhmien historialliseen tutkimukseen (AcademySampo Portal and Data Service for Biographical and Prosopographical Research)
    (2021-05-01) Hyvönen, Eero; Leskinen, Petri; Rantala, Heikki; Ikkala, Esko; Tuominen, Jouni
     A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
    AcademySampo – Academic people in Finland 1640–1899 is a portal and a Linked Open Data service on the Semantic Web. AcademySampo contains richly interlinked open data about all people that have got academic education in Finland in 1640–1899. The system is targeted to researchers and the general public for biographical and prosopographical research. This review gives an overview on how AcademySampo can be utilized in practise with its novel digital humanities tools included in the portal and by using the data service via APIs.
  • Algoritmien valta
    (2022-09-09) Laine, Mikael
     Perustieteiden korkeakoulu | Bachelor's thesis
  • Algoritmit ja valta
    (2019-04-18) Tuomainen, Neea
     Perustieteiden korkeakoulu | Bachelor's thesis
  • Älypuhelimen kosketuskäyttöliittymän käytettävyys ja erot osoitinpohjaiseen käyttöliittymään
    (2020-04-27) Kinnunen, Liisi
     Perustieteiden korkeakoulu | Bachelor's thesis
  • Älypuhelimen paikallisen viiveen muodostuminen ja vaikutus käyttäjäkokemukseen
    (2022-09-02) Weck, Patrik
     Perustieteiden korkeakoulu | Bachelor's thesis
  • Älypuhelimien tietoturva
    (2023-04-17) Kankaanpää, Kalle
     Perustieteiden korkeakoulu | Bachelor's thesis
  • Amazonin pilvipalvelut – mikropalveluiden kehitys
    (2023-04-11) Väyrynen, Teemu
     Perustieteiden korkeakoulu | Bachelor's thesis
  • AMMO ontology of Finnish historical occupations
    (2019) Koho, Mikko; Gasbarra, Lia; Tuominen, Jouni; Rantala, Heikki; Jokipii, Ilkka; Hyvönen, Eero
     A4 Artikkeli konferenssijulkaisussa
    This paper introduces AMMO Ontology of Finnish Historical Occupations. AMMO is based on thousands of occupational labels extracted from three Finnish military historical datasets of the early 20th century: the first consists of the ca. 40 000 war-related death records around the time of the Finnish Civil War (1914–1922); the second consists of the ca. 95 000 death records of Finnish soldiers in the Second World War (1939–1945); the third contains the ca. 4500 records of Finnish prisoners of war in the Soviet Union during the WW2. Our goal from a Digital Humanities perspective is to use AMMO to study military history and these datasets based on the occupation and social status of the soldiers. AMMO will also be used as a component for faceted search and semantic recommendation in two semantic portals for Finnish military history. AMMO is aligned with the international historical occupation classification HISCO and with a modern Finnish occupational classification for international and national interoperability. The ontology is published as Linked Open Data in an ontology service.
  • Analyses of Networks of Politicians Based on Linked Data: Case ParliamentSampo - Parliament of Finland on the Semantic Web
    (2022-08-29) Pokkimäki, Henna; Leskinen, Petri; Tamper, Minna; Hyvönen, Eero
     A3 Kirjan tai muun kokoomateoksen osa
    In parliamentary debates the speakers make reference to each other. By extracting and linking named entities from the speeches it is possible to construct reference networks and use them for analysing networks of politicians and parties and their debates. This paper presents how such a network can be constructed automatically, based on a speech corpus 2015–2022 of the Parliament of Finland, and be used as a basis for network analysis.
  • Analyzing and Visualizing Prosopographical Linked Data Based on Biographies
    (2018) Leskinen, Petri; Hyvönen, Eero; Tuominen, Jouni
     A4 Artikkeli konferenssijulkaisussa
    This paper shows how faceted search on biographical data can be utilized as a flexible basis for filtering target groups of people and, in particular, how generic data analysis and visualizations tools can then be applied for solving prosopographical research questions based on the filtered data. This idea is demonstrated and evaluated in practice by presenting two application case studies: 1) linked data extracted from a printed registry of over 10 000 alumni (1867–1992) of the prominent Finnish high school Norssi, and 2) a knowledge graph extracted from 13 000 short biographies of significant Finnish people (from 3rd century to present times) in the National Biography of Finland. In both cases, the data is enriched by linking their entities with several other external datasets.
  • Analyzing biography collections historiographically as Linked Data: Case National Biography of Finland
    (2022-08-30) Tamper, Minna; Leskinen, Petri; Hyvönen, Eero; Valjus, Risto; Keravuori, Kirsi
     A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
    Biographical collections are available on the Web for close reading. However, the underlying texts can also be used for data analysis and distant reading, if the documents are available as data. Such data is usable for creating intelligent user interfaces to biographical data, including Digital Humanities tooling for visualizations, data analysis, and knowledge discovery in biographical and prosopographical research. In this paper, we re-use biographical collection data from a historiographical perspective for analyzing the underlying collection. For example: What kind of people have been included in the collection? Does the language used for describing female biographees differ from that for men? As a case study, the Finnish National Biography, available as part of the Linked Open Data service and semantic portal BiographySampo – Finnish Biographies on the Semantic Web is used. The analyses show interesting results related to, e.g., how specific prosopographical groups, such as women or professional groups are represented and portrayed. Various novel statistics and network analyses of the biographees are presented. Our analyses give new insights to the editors of the National Biography as well as to researchers in biography, prosopography, and historiography. The presented approach can be applied also to similar biography collections in other countries.
  • Analyzing the cultural contexts of color in user interface design
    (2023-04-15) Mäkirinta, Kiia
     Perustieteiden korkeakoulu | Bachelor's thesis