Amsterdam Museum Linked Open Data

In this document we describe the Amsterdam Museum Linked Open Data set. The dataset is a five-star Linked Data representation and comprises the entire collection of the Amsterdam Museum consisting of more than 70,000 object descriptions. Furthermore, the institution's thesaurus and person authority files used in the object metadata are included in the Linked Data set. The data is mapped to the Europeana Data Model, utilizing Dublin Core, SKOS, RDA-group2 elements and the OAI-ORE model to represent the museum data. Vocabulary concepts are mapped to GeoNames and DBpedia. The two main contributions of this dataset are the inclusion of internal vocabularies and the fact that the complexity of the original dataset is retained

MultimediaN E-Culture demonstrator

The main objective of the MultimediaN E-Culture project is to demonstrate how novel semantic-web and presentation technologies can be deployed to provide better indexing and search support within large virtual collections of cultural-heritage resources. The architecture is fully based on open web standards, in particular XML, SVG, RDF/OWL and SPARQL. One basic hypothesis underlying this work is that the use of explicit background knowledge in the form of ontologies/vocabularies/thesauri is in particular useful in information retrieval in knowledge-rich domains

Denotative and Connotative Semantics in Hypermedia: Proposal for a Semiotic-Aware Architecture

In this article we claim that the linguistic-centered view within hypermedia systems needs refinement through a semiotic-based approach before real interoperation between media can be achieved. We discuss the problems of visual signification for images and video in dynamic systems, in which users can access visual material in a non-linear fashion. We describe how semiotics can help overcome such problems, by allowing descriptions of the material on both denotative and connotative levels. Finally we propose an architecture for a dynamic semiotic-aware hypermedia system

ANALISIS PENGARUH CITRA PERUSAHAAN DAN KUALITAS LAYANAN TERHADAP KEPUASAN PELANGGAN DALAM RANGKA MEMBANGUN MINAT TRANSAKSI ULANG (Studi PT. Phillip Securities Indonesia Cabang Semarang)

Investasi merupakan unsur utama dalam pembangunan ekonomi. Dalam perkembangan perekonomian Indonesia saat ini, pasar modal menjadi salah satu alternatif terbaik dalam berinvestasi. Kecenderungan pasar yang terus berkembang, ditandai dengan terus menguatnya Indeks Harga Saham Gabungan (IHSG), turut menarik minat calon investor. PT. Phillip Securities Indonesia merupakan salah satu perusahaan sekuritas terbaik yang ada di Indonesia dan merupakan cabang dari Phillip Capital Singapore. Studi dalam penelitian ini mengenai analisis pengaruh citra perusahaan dan kualitas layanan terhadap kepuasan pelanggan dalam rangka membangun minat transaksi ulang di PT. Phillip Securities Indonesia Cabang Semarang. Masalah yang diangkat dalam penelitian ini adalah seberapa besar pengaruh : (1) citra perusahaan dan (2) kualitas layanan terhadap kepuasan pelanggan di PT. Phillip Securities Indonesia Cabang Semarang dan (3) Seberapa besar pengaruh kepuasan pelanggan terhadap minat transaksi ulang para nasabah PT. Phillip Securities Indonesia Cabang Semarang. Hasil analisis deskriptif menunjukkan bahwa citra perusahaan dan kualitas layanan PT. Phillip Securities Indonesia Cabang Semarang termasuk baik. Hasil penelitian menunjukkan bahwa kualitas layanan paling berpengaruh pada kepuasan pelanggan yang juga pada akhirnya mempengaruhi minat transaksi ulang para nasabah. Berdasarkan pengaruh yang dimiliki oleh variabel-variabel tersebut terhadap minat transaksi ulang, maka sebaiknya PT. Phillip Securities Indonesia Cabang Semarang dapat meningkatkan kualitas layanan dan citra perusahaan untuk dapat meningkatkan mewujudkan minat transaksi ulang nasabah yang lebih besar

Searching in the Cultural Heritage Domain

CWI is a founding member of ERCIM, the European Research Consortium for Informatics and Mathematics. CWI's research has a theme-oriented structure and is grouped into four clusters. Listed below are the names of the clusters and in parentheses their acronyms

Exploring Audiovisual Archives Through Aligned Thesauri

Item does not contain fulltex