Analysis of Knowledge Management and E-Learning Integration Models

AbstractThe development of knowledge management (KM) and e-learning (EL) naturally brings both disciplines closer and encourages integration. There are several models that offer possible ways of such integration. With the goal to develop practically applicable integration solution for specific organization, existing integration models are analysed in this paper. The main criterion for analysis is application of integration model in the enterprise. Model analysis shows several different theoretical approaches for integration that are tied to specific goals and needs of organization. The more general approach is to base integration on common ground, which is identified as learning

It project risk in Hong Kong

This study investigated the project risk in information systems design and development in the context of Hong Kong. While a large majority of the past research studies was conducted using the Delphi method, multiple case study research methodology was employed in this study in order to provide compelling evidence of the phenomenon. Another novel approach was the application of the causal mapping technique to analyse the cases. This technique enabled in-depth analysis of the research results. The findings extend prior models of software project development risk and show some of the subtle relationships among major model components

FALLSTUDIE ZUM EINSATZ AGILER, PROZESSORIENTIERTER METHODEN IN DER CHIPINDUSTRIE

Der vorliegende Beitrag befasst sich mit einer Fallstudie zum Einsatz Agiler Workflow- Technologie in der Chipindustrie. Im Zentrum der Untersuchung stehen die eigens entwickelten agilen, prozessorientierten Methoden, die wichtiger Bestandteil dieser Technologie sind3. In der Fallstudie wurde eine prototypische Implementierung eines Agilen Workflow-Management-Systems verwendet. Dieser Pilot wurde in einem realen Chipentwicklungsprojekt in der Firma Silicon Image angewandt. Die Ergebnisse wurden von einem gemischten Team aus Chip-Experten und Workflow-Experten bewertet. Dabei wurden IT-technische, ökonomische und organisatorische Aspekte betrachtet. Die beiden Hauptziele der Studie waren, branchenspezifische Erkenntnisse über die Anwendbarkeit der Agilen Workflow-Technologie zu gewinnen und Hinweise zur Gestaltung von neuen Methoden und Tools für Agile Workflows zu bekommen. Die guten Resultate der Fallstudie lassen darauf hoffen, dass Agile Workflow-Technologie ein wichtiger Baustein für ein serviceorientiertes Geschäftsprozessmanagement werden könnte

Fully Employing Software Inspections Data

Software inspections provide a proven approach to quality assurance for software products of all kinds, including requirements, design, code, test plans, among others. Common to all inspections is the aim of finding and fixing defects as early as possible, and thereby providing cost savings by minimizing the amount of rework necessary later in the lifecycle. Measurement data, such as the number and type of found defects and the effort spent by the inspection team, provide not only direct feedback about the software product to the project team but are also valuable for process improvement activities. In this paper, we discuss NASA's use of software inspections and the rich set of data that has resulted. In particular, we present results from analysis of inspection data that illustrate the benefits of fully utilizing that data for process improvement at several levels. Examining such data across multiple inspections or projects allows team members to monitor and trigger cross project improvements. Such improvements may focus on the software development processes of the whole organization as well as improvements to the applied inspection process itself

The nature of accessibility studies

Accessibility has come to play a pivotal role on the world's stage, gradually pervading different aspects of our lives as well as a vast range of fields, giving rise to a plethora of fruitful new ideas, methods and models, and becoming an ever more key issue within a process that is reshaping the very fabric of society. The ubiquitous effects of accessibility have led to the emergence of a new research field, namely accessibility studies (AS). This paper presents both the path that has led towards the emergence of AS as well as the distinctive features of this new field. AS is defined as the field concerned with the investigation of accessibility processes and phenomena, and the design, implementation and evaluation of accessibility-based and accessibility-oriented methodologies. The analysis is carried out mainly, though not exclusively, in reference to media accessibility (MA), as it is one of the most mature areas in which the process of the formation of AS has been taking place. It concludes by arguing that AS is a timely field that addresses the most pressing issues our society is facing nowadays and appealing to MA to embrace its identity as an area of AS

Iterchanging Discrete Event Simulationprocess Interaction Modelsusing The Web Ontology Language - Owl

Discrete event simulation development requires significant investments in time and resources. Descriptions of discrete event simulation models are associated with world views, including the process interaction orientation. Historically, these models have been encoded using high-level programming languages or special purpose, typically vendor-specific, simulation languages. These approaches complicate simulation model reuse and interchange. The current document-centric World Wide Web is evolving into a Semantic Web that communicates information using ontologies. The Web Ontology Language OWL, was used to encode a Process Interaction Modeling Ontology for Discrete Event Simulations (PIMODES). The PIMODES ontology was developed using ontology engineering processes. Software was developed to demonstrate the feasibility of interchanging models from commercial simulation packages using PIMODES as an intermediate representation. The purpose of PIMODES is to provide a vendor-neutral open representation to support model interchange. Model interchange enables reuse and provides an opportunity to improve simulation quality, reduce development costs, and reduce development times

Entities with quantities : extraction, search, and ranking

Quantities are more than numeric values. They denote measures of the world’s entities such as heights of buildings, running times of athletes, energy efficiency of car models or energy production of power plants, all expressed in numbers with associated units. Entity-centric search and question answering (QA) are well supported by modern search engines. However, they do not work well when the queries involve quantity filters, such as searching for athletes who ran 200m under 20 seconds or companies with quarterly revenue above $2 Billion. State-of-the-art systems fail to understand the quantities, including the condition (less than, above, etc.), the unit of interest (seconds, dollar, etc.), and the context of the quantity (200m race, quarterly revenue, etc.). QA systems based on structured knowledge bases (KBs) also fail as quantities are poorly covered by state-of-the-art KBs. In this dissertation, we developed new methods to advance the state-of-the-art on quantity knowledge extraction and search.Zahlen sind mehr als nur numerische Werte. Sie beschreiben Maße von Entitäten wie die Höhe von Gebäuden, die Laufzeit von Sportlern, die Energieeffizienz von Automodellen oder die Energieerzeugung von Kraftwerken - jeweils ausgedrückt durch Zahlen mit zugehörigen Einheiten. Entitätszentriete Anfragen und direktes Question-Answering werden von Suchmaschinen häufig gut unterstützt. Sie funktionieren jedoch nicht gut, wenn die Fragen Zahlenfilter beinhalten, wie z. B. die Suche nach Sportlern, die 200m unter 20 Sekunden gelaufen sind, oder nach Unternehmen mit einem Quartalsumsatz von über 2 Milliarden US-Dollar. Selbst moderne Systeme schaffen es nicht, Quantitäten, einschließlich der genannten Bedingungen (weniger als, über, etc.), der Maßeinheiten (Sekunden, Dollar, etc.) und des Kontexts (200-Meter-Rennen, Quartalsumsatz usw.), zu verstehen. Auch QA-Systeme, die auf strukturierten Wissensbanken (“Knowledge Bases”, KBs) aufgebaut sind, versagen, da quantitative Eigenschaften von modernen KBs kaum erfasst werden. In dieser Dissertation werden neue Methoden entwickelt, um den Stand der Technik zur Wissensextraktion und -suche von Quantitäten voranzutreiben. Unsere Hauptbeiträge sind die folgenden: • Zunächst präsentieren wir Qsearch [Ho et al., 2019, Ho et al., 2020] – ein System, das mit erweiterten Fragen mit Quantitätsfiltern umgehen kann, indem es Hinweise verwendet, die sowohl in der Frage als auch in den Textquellen vorhanden sind. Qsearch umfasst zwei Hauptbeiträge. Der erste Beitrag ist ein tiefes neuronales Netzwerkmodell, das für die Extraktion quantitätszentrierter Tupel aus Textquellen entwickelt wurde. Der zweite Beitrag ist ein neuartiges Query-Matching-Modell zum Finden und zur Reihung passender Tupel. • Zweitens, um beim Vorgang heterogene Tabellen einzubinden, stellen wir QuTE [Ho et al., 2021a, Ho et al., 2021b] vor – ein System zum Extrahieren von Quantitätsinformationen aus Webquellen, insbesondere Ad-hoc Webtabellen in HTML-Seiten. Der Beitrag von QuTE umfasst eine Methode zur Verknüpfung von Quantitäts- und Entitätsspalten, für die externe Textquellen genutzt werden. Zur Beantwortung von Fragen kontextualisieren wir die extrahierten Entitäts-Quantitäts-Paare mit informativen Hinweisen aus der Tabelle und stellen eine neue Methode zur Konsolidierung und verbesserteer Reihung von Antwortkandidaten durch Inter-Fakten-Konsistenz vor. • Drittens stellen wir QL [Ho et al., 2022] vor – eine Recall-orientierte Methode zur Anreicherung von Knowledge Bases (KBs) mit quantitativen Fakten. Moderne KBs wie Wikidata oder YAGO decken viele Entitäten und ihre relevanten Informationen ab, übersehen aber oft wichtige quantitative Eigenschaften. QL ist frage-gesteuert und basiert auf iterativem Lernen mit zwei Hauptbeiträgen, um die KB-Abdeckung zu verbessern. Der erste Beitrag ist eine Methode zur Expansion von Fragen, um einen größeren Pool an Faktenkandidaten zu erfassen. Der zweite Beitrag ist eine Technik zur Selbstkonsistenz durch Berücksichtigung der Werteverteilungen von Quantitäten

Pengembangan Fitur Tagging pada Aplikasi Kolaborasi Sosial untuk Pengukuran dan Peningkatan Kinerja Organisasi

Pengukuran kinerja diimplementasikan oleh organisasi dengan berbagai pendekatan untuk meningkatkan kinerja dari anggota organisasi dalam mencapai tujuan dari organisasi. Institut Teknologi Sepuluh Nopember menerapkan pengukuran kinerja bagi mahasiswa yaitu SI SKEM (Sistem Informasi Satuan Kegiatan Ekstrakurikuler Mahasiswa). SI SKEM bertujuan untuk meningkatkan kompetensi mahasiswa di bidang soft-skills. Sejauh ini pada pelaksanaannya harapan manajemen tingkat atas masih belum terpenuhi karena pengisian capaian menjadi beban administratif dan sebatas syarat kelulusan bagi mahasiswa. Penelitian ini menggunakan konsep Social Collaboration. Sociapl Collaboration menjadi salah satu inovasi dalam penyelesaian pekerjaan yang memungkinkan banyak orang dalam berkolaborasi memberikan solusi dari berbagai tempat dan pengetahuan yang berbeda. Aplikasi yang akan dikembangkan menggunakan pendekatan self assessement di mana mahasiswa memasukkan capaian secara mandiri dan diverifikasi oleh Dosen Wali. Adopsi teknologi mention dan tagging memungkinkan mahasiswa dalam memasukkan capaian secara kolaboratif. Pengalaman gamifikasi diberikan untuk memotivasi mahasiswa dalam meningkatkan capaiannya. Metode community-sourcing diterapkan untuk mengumpulkan kegiatan atau aktivitas produktif yang akan atau telah diikuti oleh banyak mahasiswa. Hasil dari penelitian ini adalah aplikasi yang memudahkan pemantauan kinerja dan meningkatkan produktivitas mahasiswa dalam meningkatkan capaian dalam bidang soft-skills. Sehingga proses pengukuran dan peningkatan kinerja mahasiswa akan lebih mudah dan menyenangkan dan seluruh proses pengukuran kinerja nantinya dapat dipantau dan dijadikan pengambilan keputusan untuk pemangku kepentingan dan memudahkan serta memberikan motivasi kepada mahasiswa untuk selalu meningkatkan capaiannya dibidang soft-skills. ======================================================================================== The performance measurement now implemented by many organizations with different approaches to improve the performance of members of the organization in achieving the objectives of the organization. Institut Teknologi Sepuluh Nopember implement a performance measurement for students namely SI skem (Information System of Unit Student Extracurricular Activities). SI skem goals is to improve the student competence in the field of soft-skills. So far in its implementation the high level management expectation remain unaddressed due to the charging of the achievements becomes an administrative load and limited only to graduation requirements for students. This research uses the concept of Social Collaboration. Social Collaboration became one of the innovations in the completion of work that allows many people to collaborate to provide solutions from different places and different knowledge. Application to be developed using self assessement approach in which students enter the achievements independently and verified by the supervisor. Adoption mention and tagging technology allows students to post a collaborative the achievements. Given gamification experience in order to motivate students to improve achievement. Community-sourcing methods applied to collect productive activity or activities that will be or has been followed by many students. The result of this study was an application that facilitates the monitoring of student performance and increase productivity in improving the performance in the field of soft-skills. So the process of measurement and improvement of student performance will be much easier and fun, and the whole process of performance measurement can then be monitored and used as a decision-making for stakeholders and facilitate and motivate the students to always improve their achievements in the field of soft-skills