Idiomatic Persistence and Querying for the W3C Web Annotation Data Model

Abstract. W3C Web annotations are a powerful way to support metadata information about digital resources. The Web Annotation Data Model proposes standardised RDF structures that express this by implementing a hierarchical annotation structure. Those annotations are designed to be shared, linked, tracked back as well as searched and discovered across different peers. However, non-Semantic Web experts may struggle to produce the corresponding RDF data or SPARQL queries. Therefore, we propose Anno4j, a Java-based library that gives developers the possibility to create and consume Web Annotations by using plain old Java objects. Anno4j follows natural Object-oriented idioms including inheritance, polymorphism, and composition to facilitate the development with Web Annotations. An extensible and modular architecture supports enhancements and use-case specific model alterations, while the plugin functionality of Anno4j allows to enrich querying by adding custom function evaluators

A platform for contextual multimedia data: towards a unified metadata model and querying

Whereas the former Web mostly consisted of information represented in textual documents, nowadays the Web in- cludes a huge number of multimedia documents like videos, photos, and audio. This enormous increase in volume in the private, and above all in the industry sector, makes it more and more difficult to find relevant information. Be- sides the pure management of multimedia documents, find- ing hidden semantics and interconnections of heterogeneous cross-media content is a crucial task and stays mostly un- touched. To overcome this tendency we see the need for a generic cross-media analysis platform, ranging from extract- ing relevant features from media objects over representing and publishing extraction results to integrated querying of aggregated findings. In this paper we propose the underlying foundation for a common and contextual multimedia plat- form in terms of an unified model for publishing multimedia analysis results. The proposed model is based on existing ontologies, adapted and extended to the cross-media envi- ronment. Besides the introduction of the already mentioned platform and model, this paper also briefly introduces spe- cific use-case applications as well as possibilities to query the persisted data