Thieme Hennis's Library tagged metadata →  View Popular

various datasets used online and the relation between them

www4.wiwiss.fu-berlin.de/...lod-datasets_2009-07-14.html - Preview

datasets semantic-web metadata

erg interessante discussie over het metadata standaard Dublin Core; vooral de discussie aan het eind is erg goed. de auteur wijst enkele redenen aan voor het mislukken van DC; Google sets the standard / websites are not static / semantics are useful internally, but not globally / too much extra code / people add the metadata: not always to be trusted / no standard for annotating the metadata / information loss with information exchange..

interesting piece about the metadata standard Dublin Core. reasons for failure: Google sets the standard / websites are not static / semantics are useful internally, but not globally / too much extra code / people add the metadata: not always to be trusted / no standard for annotating the metadata / information loss with information exchange /

www.heeftstijl.nl/...-core-mislukking-ons-kan-leren - Preview

metadata dublincore standards

RDF primer: introduction to the semantic web and the RDF standard for web resources.

www.w3.org/rdf-primer - Preview

rdf xml metadata semantic-web semantic

Filtered feed

feedego.com - Preview

apml attention metadata rss

Social Resource and Metadata Hub
Upload and share your files and bookmarks, join groups and communicate with others! ALOE features
* feed support for all open groups
* the ALOE bookmarklet
* full UTF-8 support
* an improved web interface

aloe-project.de/...welcome - Preview

metadata learning learningobjects resources

The tools used to search and find Learning Objects in different systems do not provide a meaningful and scalable way to rank or recommend learning material. This work propose and detail the use of Contextual Attention Metadata, gathered from the different tools used in the lifecycle of the Learning Object, to create ranking and recommending metrics to improve the user experience. Four types of metrics are detailed: Link Analysis Ranking, Similarity Recommendation, Personalized Ranking and Contextual Recommendation. While designed for Learning Objects, it is shown that these metrics could also be applied to rank and recommend other types of reusable components like software libraries.

portal.acm.org/citation.cfm - Preview

learning-network learning learningobjects attention metadata

google search for articles about attention metadata

scholar.google.nl/scholar - Preview

GoogleSearches attention metadata

another article about attention profiling

e-services.aua.gr/...ari_manouselis_duval_draft.pdf - Preview

apml attention metadata recommendation-system article

article about APML and attention metadata

ariadne.cti.espol.edu.ec/...Ochoa-CIKM2006.pdf - Preview

attention metadata apml article

Accessing semantic data using anyMeta

www.mediamatic.net/en - Preview

metadata semantic-web interface web2.0

Interesting academic approach toward creating metadata for learning objects

info.melt-project.eu/...about.htm - Preview

folksonomies interesting learning melt metadata taxonomies tools learningobjects

This posts discusses the possibilities of an API describing the educational achievements by a person.

ouseful.wordpress.com/...-with-an-open-achievements-api - Preview

api Education metadata blogpost

The PICSTM specification enables labels (metadata) to be associated with Internet content. It was originally designed to help parents and teachers control what children access on the Internet, but it also facilitates other uses for labels, including code signing and privacy. The PICS platform is one on which other rating services and filtering software have been built.

www.w3.org/PICS - Preview

quality metadata standards

With User Labor, we propose an open data structure, User Labor Markup Language (ULML), to outline the metrics of user participation in social web services. Our aim is to construct criteria and context for determining the value of user labor for distribution. We believe that universality, transparency, and accessibility of user labor metrics will ultimately lead to more sustainable service cycles in social web.

ULML outlines the metrics user labor, but does not provide direction for calculating its value. Calculating the value of labor is a fairly subjective matter, and formulations may vary from service to service. In order to deal with this subjectivity in the best way possible, the metrics of user labor need to be accessible and transparent as a basis for initiating actual value discussions. >> aka: PEERS IMS needs this info to calculate value!

userlabor.org - Preview

metadata standards xml identity technology web2.0

APML allows users to share their own personal Attention Profile in much the same way that OPML allows the exchange of reading lists between News Readers. The idea is to compress all forms of Attention Data into a portable file format containing a description of ranked user interests.

www.apml.org - Preview

metadata identity standards xml

One of the main approaches for creating metadata for learn-
ing resources in adaptive e-learning systems has been through the use of
semantic web ontologies. This approach is limiting because it doesn’t usu-
ally address a requirement for the support of annotators or the require-
ment for significant effort by annotators in learning ontological metadata
domains and technologies. This paper proposes a method of addressing
these shortfalls, by incorporating techniques used on the hugely popular
collaborative tagging websites, such as del.icio.us
1
. By extending on a
natural language ontology, we aim to achieve simplicity in metadata au-
thoring while maintaining the expressiveness of a lightweight ontology.
The goal of the approach is to facilitate metadata creation such that
new metadata creators (such as students) may become involved with
creating machine consumable metadata about learning objects, for use
in adaptive e-learning systems.

www.win.tue.nl/...oks_mccalla_SWEL2006_final.pdf - Preview

tagging folksonomies knowledge-management paper collective-intelligence metadata semantic search learning learningobjects

User profiles can be used to identify persons inside a community with
similar interests. Folksonomy systems allow users to individually tag the objects of a common set (e.g., web pages). In this paper, we propose to create user profiles from the data available in such folksonomy systems by letting users specify the most relevant objects in the system. Instead of using the objects directly to represent the user profile, we propose to use the tags associated with the specified objects to build the user profile. We have designed a prototype for the research domain to use such tag-based profiles in finding persons with similar interests.
The combination of tag-based profiles with standard recommender system technology has resulted in a new kind of recommender system to recommend related publications, keywords, and persons.

ftp.informatik.rwth-aachen.de/...paper41.pdf - Preview

tagging folksonomies knowledge-management paper collective-intelligence metadata semantic search

This paper explores the system of categories that is used to classify articles in Wikipedia. It is compared to collaborative tagging systems like del.icio.us and to hierarchical classification like the Dewey Decimal Classification (DDC). Specifics and commonalitiess of these systems of subject indexing are exposed. Analysis of structural and statistical properties (descriptors per record, records per descriptor, descriptor levels) shows that the category system of Wikimedia is a thesaurus that combines collaborative tagging and hierarchical subject indexing in a special way.

arxiv.org/0604036 - Preview

tagging folksonomies knowledge-management paper collective-intelligence metadata semantic search wikipedia

Tagging has arisen as way to enable users to contribute to a loose
taxonomy characterizing web pages, pictures, products and other
things. We propose tagging people in order to help individuals
keep track of each other while contributing to a loose
characterization of their friends and colleagues. “Fringe
Contacts” is a reference system designed to test whether people-
tagging is a viable and useful approach.

tlau.org/...www06-tagging-fc.pdf - Preview

tagging folksonomies knowledge-management paper collective-intelligence metadata semantic search

This paper presents a novel approach to Tag-Cloud’s tags selection, and proposes the use of clustering algorithms for visual layout, with the aim of improve browsing experience. The results suggest that presented approach reduces the semantic density of tag set, and improves the visual consistency of Tag-Cloud layout.

nosolousabilidad.com/...improving_tagclouds.pdf - Preview

visualization tagging folksonomies knowledge-management paper collective-intelligence metadata semantic search