3,340 research outputs found
Synote: weaving media fragments and linked data
While end users could easily share and tag the multimedia resources online, the searching and reusing of the inside content of multimedia, such as a certain area within an image or a ten minutes segment within a one-hour video, is still difficult. Linked data is a promising way to interlink media fragments with other resources. Many applications in Web 2.0 have generated large amount of external annotations linked to media fragments. In this paper, we use Synote as the target application to discuss how media fragments could be published together with external annotations following linked data principles. Our design solves the dereferencing, describing and interlinking methods problems in interlinking multimedia. We also implement a model to let Google index media fragments which improves media fragments' online presence. The evaluation shows that our design can successfully publish media fragments and annotations for both semantic Web agents and traditional search engines. Publishing media fragments using the design we describe in this paper will lead to better indexing of multimedia resources and their consequent findabilit
Constructing experimental indicators for Open Access documents
The ongoing paradigm change in the scholarly publication system ('science is
turning to e-science') makes it necessary to construct alternative evaluation
criteria/metrics which appropriately take into account the unique
characteristics of electronic publications and other research output in digital
formats. Today, major parts of scholarly Open Access (OA) publications and the
self-archiving area are not well covered in the traditional citation and
indexing databases. The growing share and importance of freely accessible
research output demands new approaches/metrics for measuring and for evaluating
of these new types of scientific publications. In this paper we propose a
simple quantitative method which establishes indicators by measuring the
access/download pattern of OA documents and other web entities of a single web
server. The experimental indicators (search engine, backlink and direct access
indicator) are constructed based on standard local web usage data. This new
type of web-based indicator is developed to model the specific demand for
better study/evaluation of the accessibility, visibility and interlinking of
open accessible documents. We conclude that e-science will need new stable
e-indicators.Comment: 9 pages, 3 figure
Applying Semantic Web Technologies to Medieval Manuscript Research
Medieval manuscript research is a complex, fragmented, multilingual field of
knowledge, which is difficult to navigate, analyse and exploit. Though printed sources
are still of great importance and value to researchers, there are now many services
on the Web, some commercial and many in the public domain. At present, these
services have to be consulted separately and individually. They employ a range of
different descriptive standards and vocabularies, and use a variety of technologies to
make their information available on the Web. This chapter proposes a new approach to
organizing the international collaborative infrastructure for interlinking knowledge and
research about medieval European manuscripts, based on technologies associated with
the Semantic Web and the Linked Data movement. This collaborative infrastructure
will be an open space on the Web where information about medieval manuscripts can
be shared, stored, exchanged and updated for research purposes. It will be possible to
ask large-scale research questions across the virtual global manuscript collection, in a
quicker and more effective way than has ever been feasible in the past. The proposed
infrastructure will focus on building links between data and will provide the basis
for new kinds of services which exploit these data. It will not aim to impose a single
metadata standard on existing manuscript services, but will build on existing databases
and vocabularies. The article describes the architecture, services and data which will
comprise this infrastructure, and discusses strategies for making th challenging and
exciting goal a reality
Knowledge Organization Systems (KOS) in the Semantic Web: A Multi-Dimensional Review
Since the Simple Knowledge Organization System (SKOS) specification and its
SKOS eXtension for Labels (SKOS-XL) became formal W3C recommendations in 2009 a
significant number of conventional knowledge organization systems (KOS)
(including thesauri, classification schemes, name authorities, and lists of
codes and terms, produced before the arrival of the ontology-wave) have made
their journeys to join the Semantic Web mainstream. This paper uses "LOD KOS"
as an umbrella term to refer to all of the value vocabularies and lightweight
ontologies within the Semantic Web framework. The paper provides an overview of
what the LOD KOS movement has brought to various communities and users. These
are not limited to the colonies of the value vocabulary constructors and
providers, nor the catalogers and indexers who have a long history of applying
the vocabularies to their products. The LOD dataset producers and LOD service
providers, the information architects and interface designers, and researchers
in sciences and humanities, are also direct beneficiaries of LOD KOS. The paper
examines a set of the collected cases (experimental or in real applications)
and aims to find the usages of LOD KOS in order to share the practices and
ideas among communities and users. Through the viewpoints of a number of
different user groups, the functions of LOD KOS are examined from multiple
dimensions. This paper focuses on the LOD dataset producers, vocabulary
producers, and researchers (as end-users of KOS).Comment: 31 pages, 12 figures, accepted paper in International Journal on
Digital Librarie
Mining for Social Serendipity
A common social problem at an event in which people do not personally know all of the other participants is the natural tendency for cliques to form and for discussions to mainly happen between people who already know each other. This limits the possibility for people to make interesting new acquaintances and acts as a retarding force in the creation of new links in the social web. Encouraging users to socialize with people they don't know by revealing to them hidden surprising links could help to improve the diversity of interactions at an event. The goal of this paper is to propose a method for detecting "surprising" relationships between people attending an event. By "surprising" relationship we mean those relationships that are not known a priori, and that imply shared information not directly related with the local context of the event (location, interests, contacts) at which the meeting takes place. To demonstrate and test our concept we used the Flickr community. We focused on a community of users associated with a social event (a computer science conference) and represented in Flickr by means of a photo pool devoted to the event. We use Flickr metadata (tags) to mine for user similarity not related to the context of the event, as represented in the corresponding Flickr group. For example, we look for two group members who have been in the same highly specific place (identified by means of geo-tagged photos), but are not friends of each other and share no other common interests or, social neighborhood
iCrawl: Improving the Freshness of Web Collections by Integrating Social Web and Focused Web Crawling
Researchers in the Digital Humanities and journalists need to monitor,
collect and analyze fresh online content regarding current events such as the
Ebola outbreak or the Ukraine crisis on demand. However, existing focused
crawling approaches only consider topical aspects while ignoring temporal
aspects and therefore cannot achieve thematically coherent and fresh Web
collections. Especially Social Media provide a rich source of fresh content,
which is not used by state-of-the-art focused crawlers. In this paper we
address the issues of enabling the collection of fresh and relevant Web and
Social Web content for a topic of interest through seamless integration of Web
and Social Media in a novel integrated focused crawler. The crawler collects
Web and Social Media content in a single system and exploits the stream of
fresh Social Media content for guiding the crawler.Comment: Published in the Proceedings of the 15th ACM/IEEE-CS Joint Conference
on Digital Libraries 201
The Semantic Web MIDI Tape: An Interface for Interlinking MIDI and Context Metadata
The Linked Data paradigm has been used to publish a large number of musical datasets and ontologies on the Semantic Web, such as MusicBrainz, AcousticBrainz, and the Music Ontology. Recently, the MIDI Linked Data Cloud has been added to these datasets, representing more than 300,000 pieces in MIDI format as Linked Data, opening up the possibility for linking fine-grained symbolic music representations to existing music metadata databases. Despite the dataset making MIDI resources available in Web data standard formats such as RDF and SPARQL, the important issue of finding meaningful links between these MIDI resources and relevant contextual metadata in other datasets remains. A fundamental barrier for the provision and generation of such links is the difficulty that users have at adding new MIDI performance data and metadata to the platform. In this paper, we propose the Semantic Web MIDI Tape, a set of tools and associated interface for interacting with the MIDI Linked Data Cloud by enabling users to record, enrich, and retrieve MIDI performance data and related metadata in native Web data standards. The goal of such interactions is to find meaningful links between published MIDI resources and their relevant contextual metadata. We evaluate the Semantic Web MIDI Tape in various use cases involving user-contributed content, MIDI similarity querying, and entity recognition methods, and discuss their potential for finding links between MIDI resources and metadata
A Web GIS-based Integration of 3D Digital Models with Linked Open Data for Cultural Heritage Exploration
This PhD project explores how geospatial semantic web concepts, 3D web-based visualisation, digital interactive map, and cloud computing concepts could be integrated to enhance digital cultural heritage exploration; to offer long-term archiving and dissemination of 3D digital cultural heritage models; to better interlink heterogeneous and sparse cultural heritage data.
The research findings were disseminated via four peer-reviewed journal articles and a conference article presented at GISTAM 2020 conference (which received the ‘Best Student Paper Award’)
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