BibSonomy ::  user :: pitman ::

Scientific innovation depends on finding, integrating, and re-using the products of previous research. Here we explore how recent developments in Web technology, particularly those related to the publication of data and metadata, might assist that process by providing semantic enhancements to journal articles within the mainstream process of scholarly journal publishing. We exemplify this by describing semantic enhancements we have made to a recent biomedical research article taken from PLoS Neglected Tropical Diseases, providing enrichment to its content and increased access to datasets within it. These semantic enhancements include provision of live DOIs and hyperlinks; semantic markup of textual terms, with links to relevant third-party information resources; interactive figures; a re-orderable reference list; a document summary containing a study summary, a tag cloud, and a citation analysis; and two novel types of semantic enrichment: the first, a Supporting Claims Tooltip to permit “Citations in Context”, and the second, Tag Trees that bring together semantically related terms. In addition, we have published downloadable spreadsheets containing data from within tables and figures, have enriched these with provenance information, and have demonstrated various types of data fusion (mashups) with results from other research articles and with Google Maps. We have also published machine-readable RDF metadata both about the article and about the references it cites, for which we developed a Citation Typing Ontology, CiTO (http://purl.org/net/cito/). The enhanced article, which is available at http://dx.doi.org/10.1371/journal.pntd.0​000228.x001 , presents a compelling existence proof of the possibilities of semantic publication. We hope the showcase of examples and ideas it contains, described in this paper, will excite the imaginations of researchers and publishers, stimulating them to explore the possibilities of semantic publishing for their own research articles, and thereby break down present barriers to the discovery and re-use of information within traditional modes of scholarly communication.

The security, trust, information quality and privacy issues arising from the vision of the Semantic Web as a global information integration infrastructure are mainly unsolved. This resource guide collects papers, ontologies, schemata and standards that might be building blocks for the future Semantic Web trust layer.

About the author Daniel Lewis Daniel Lewis is a postgraduate student at the University of Bristol. His primary area of research is machine learning and data mining. His interests include all kinds of intelligent systems, and he's also an advocate of open source and cross-platform development. Outside of computing, he enjoys spending time with his girlfriend and reading about religion, philosophy, and psychology — all of which he writes about on his blog.

The Dublin Core Metadata Initiative is an open organization engaged in the development of interoperable online metadata standards that support a broad range of purposes and business models. DCMI's activities include work on architecture and modeling, discussions and collaborative work in DCMI Communities and DCMI Task Groups, annual conferences and workshops, standards liaison, and educational efforts to promote widespread acceptance of metadata standards and practices.

Visual Interfaces to the Social and the Semantic Web (VISSW 2009) In conjunction with the International Conference on Intelligent User Interfaces (IUI 2009) Sanibel Island, Florida 8th February 2009

Why Dog Food?! The call to "eat your own dog-food" is often heard in the Semantic Web research area. The motto encourages us to use the languages and tools that we are developing to support our own work and demonstrate convincing arguments for the introduction of explicit semantics. The International Semantic Web and European Semantic Web Conference series have followed this maxim and published metadata describing the events. This metadata covers information about papers, schedules, attendees etc. Tools can then consume this information and provide services, such as intelligent scheduling or search, to conference attendees.

Authors: Chris Bizer (Web-based Systems Group, Freie Universität Berlin, Germany) Richard Cyganiak (Web-based Systems Group, Freie Universität Berlin, Germany) Tom Heath (Knowledge Media Institute, The Open University, Milton Keynes, UK) This version: http://sites.wiwiss.fu-berlin.de/suhl/bizer/pub/LinkedDataTutorial/20070727/ Latest version: http://sites.wiwiss.fu-berlin.de/suhl/bizer/pub/LinkedDataTutorial/ Abstract This document provides a tutorial on how to publish Linked Data on the Web. After a general overview of the concept of Linked Data, we describe several practical recipes for publishing information as Linked Data on the Web.

Linked Data The Semantic Web isn't just about putting data on the web. It is about making links, so that a person or machine can explore the web of data. With linked data, when you have some of it, you can find other, related, data. Like the web of hypertext, the web of data is constructed with documents on the web. However, unlike the web of hypertext, where links are relationships anchors in hypertext documents written in HTML, for data they links between arbitrary things described by RDF,. The URIs identify any kind of object or concept. But for HTML or RDF, the same expectations apply to make the web grow: 1. Use URIs as names for things 2. Use HTTP URIs so that people can look up those names. 3. When someone looks up a URI, provide useful information. 4. Include links to other URIs. so that they can discover more things. Simple. In fact, though, a surprising amount of data isn't linked in 2006, because of problems with one or more of the steps. This article discusses solutions to these problems, details of implementation, and factors affecting choices about how you publish your data.

Networked Environment for Personalized, Ontology-based Management of Unified Knowledge NEPOMUK brings together researchers, industrial software developers, and representative industrial users, to develop a comprehensive solution for extending the personal desktop into a collaboration environment which supports both the personal information management and the sharing and exchange across social and organizational relations.

What Topic Maps Do When XML is introduced into an organization it is usually used for one of two purposes: either to structure the organization's documents or to make that organization's applications talk to other applications. These are both useful ways of using XML, but they will not help anyone find the information they are looking for. What changes with the introduction of XML is that the document processes become more controllable and can be automated to a greater degree than before, while applications can now communicate internally and externally. But the big picture, something that collects the key concepts in the organization's information and ties it all together, is nowhere to be found. [Diagram]

Unified Verb Index University of Colorado The Unified Verb Index is a system which merges links and web pages from four different natural language processing projects: * VerbNet - Download! * PropBank - Download! * FrameNet * OntoNotes Sense Groupings

SemLink is a project whose aim is to link together different lexical resources via a set of mappings. These mappings will make it possible to combine the different information provided by these different lexical resources for tasks such as inferencing. We also plan to use the mappings to aid in semi-automatic extension of each resources coverage, to increase the overall overlap in coverage. Currently, we are creating mappings between the following resources: * PropBank: A corpus of one million words of English text, annotated with argument role labels for verbs; and a lexicon defining those argument roles on a per-verb basis. * VerbNet: A lexicon that groups verbs based on their semantic/syntactic linking behavior. * FrameNet: A lexicon based on frame semantics. * WordNet: A lexicon that describes semantic relationships (such as synonymy and hyperonymy) between individual words. The content of all four of these resources can be browsed on-line using the Unified Verb Index. A presentation giving an introduction to SemLink, and two of the resources it combines (PropBank and VerbNet), was given at the SIGSEM/ISO workshop held jointly with the IWCS-7 conference.

The SemCor corpus The SemCor corpus, created by the Princeton University, is a subset of the English Brown corpus containing almost 700,000 running words. In SemCor all the words are tagged by PoS, and more than 200,000 content words are also lemmatized and sense-tagged according to Princeton WordNet 1.6. More in detail, the SemCor corpus is composed of 352 texts. In 186 texts all the open class words (nouns, verbs, adjectives, and adverbs) are annotated with PoS, lemma and sense, while in the remaining 166 texts only verbs are annotated with lemma and sense. The "all-words" component of SemCor has 359,732 tokens among which 192,639 are semantically annotated, while the "only-verbs" component has 316,814 tokens among which 41,497 verb occurrences are semantically annotated. Different versions of SemCor are available for downloading here. Related Publications: 1. Landes S., Leacock C., and Tengi, R.I. (1998) "Building semantic concordances". In Fellbaum, C. (ed.) (1998) WordNet: An Electronic Lexical Database. Cambridge (Mass.): The MIT Press. 2. Fellbaum, C., Grabowski, J. and Landes, S. (1998). "Performance and confidence in a semantic annotation task". In Fellbaum, C. (ed.) (1998) WordNet: An Electronic Lexical Database. Cambridge (Mass.): The MIT Press. 3. Fellbaum, C. (ed.) (1998) WordNet: An Electronic Lexical Database. Cambridge (Mass.): The MIT Press.

Semantic Bank is the server companion of Piggy Bank that lets you persist, share and publish data collected by individuals, groups or communities. In the past it was a standalone project but now comes bundled with Longwell as a Longwell configuration.