Group items tagged

Andreas Hotho's talk more specifically addressed the search for methods to identify tags which describe the same concept (or a more specific / a more general concept respectively) within a folksonomy. He suggested two approaches: 1. Applying measures directly to folksonomy statistics, allowing to describe tags as a vector; e.g. co-occurrence frequency and FolkRank could serve as a similarity measure (with these two having a tendency towards high-frequency tags) or a cosine method (which is more likely to produce "siblings") 2. Looking up tags in an external thesaurus/vocabulary (for instance achieving semantic grounding by mapping a tag and its most similar tags with Wordnet Synsets)

The contention made in this article is that ontologies are pivotal to several seemingly disparate technical endeavours that are currently emergent and have had more or less publicity. These include Event Driven Architecture (EDA), Complex Event Processing (CEP), Service Oriented Architecture (SOA), Master Data Management (MDM), which are supported by specific ontological initiatives most notably the Semantic Web, which is further leveraged by Model Driven Architecture (MDA). Furthermore how these efforts are all dependent on the adherence to common standards. These endeavours, and their complementary interrelationships, and specifically their relationship to ontology, are explored in more detail below.

Open Archives Initiative Object Reuse and Exchange (OAI-ORE) defines standards for the description and exchange of aggregations of Web resources. This document provides an introduction and lists the specifications and user guide documents that make up the OAI-ORE standards.

The Virtual Worlds Roadmap seeks to increase the success rate of virtual world-based ventures and the productivity of investment through the publication and distribution of state-of-the-art thinking and analysis on Visions of what value virtual world technology will bring to specific applications Technical and business barriers to achieving that value Case studies on successes to date A roadmap and timeline for achieving mass adoption of specific applications. The Virtual Worlds Roadmap is a commons-based peer production effort. Everyone is invited to take part by commenting on published drafts, volunteering as an author or working group participant, and attending workshops.

GUESS is an exploratory data analysis and visualization tool for graphs and networks. The system contains a domain-specific embedded language called Gython (an extension of Python, or more specifically Jython) which supports the operators and syntactic sugar necessary for working on graph structures in an intuitive manner. An interactive interpreter binds the text that you type in the interpreter to the objects being visualized for more useful integration. GUESS also offers a visualization front end that supports the export of static images and dynamic movies.

tagCare lets you to maintain all your tags jointly in one place, which is especially useful if you normally use several of these different platforms. Many users apply a variety of different tags within different platforms - and finally get lost among them. For example, it is hard to keep track of consistent spelling variants (e.g. not using "science_fiction" in one case and "scienceFiction" in the other) or of preferred terms (e.g. not using "bike" in one case and "bicycle" in the other). Some documents may be tagged with the general term "dog", others more specifically with "greyhound" or "border_collie". tagCare will help you to apply some structure to your tagging vocabulary so that you will more easily navigate through vocabulary choices and use tags more consistently. In tagCare, a user can assemble all tags which he has used within different systems and may then create his own vocabulary hierarchy, synonym collections and cross-references to related terms to establish some lightweight form of controlled vocabulary. This process is also called "tag gardening". Edited and structured tags will then be used to browse document collections in other platforms and to directly tag documents out of tagCare. tagCare is still under development, a first demo version will be available soon and more features will then be added step by step. tagCare will first support Flickr, Bibsonomy and del.icio.us.

When it comes to product searches, Yotify is very smart. It doesn't just look at keywords, but also lets you know what the current best price is and then lets you select a checkbox to have the service alert you if the price drops below a certain point. You can also optionally check to be alerted when there are new product reviews available. The shopping section features scouts for common searches like digital cameras and laptops, but the shortcuts section lets you create more specific searches for a keyword, like a product ID or model number. See http://www.readwriteweb.com/archives/stop_searching_the_web_let_yotify_do_it.php

Tagging is a process that associates keywords with specific content. We did a rough analysis in our paper (reference below), and computed how often a keyword used by a user to tag an URL appears in the page content. We found that, on average, the chance that a tag comes from the content is 49%. This process produced a conservative estimate of tag occurrence in content, since we did not account for situations such as content changes for a given URL (e.g., dynamic content), typos (e.g., "Ajaz" instead of "Ajax"), abbreviations (e.g., "ad" instead of "advertisement"), compound tags (e.g., "SearchEngine"), and tags written in languages other than that of the content.

A Semantic Map is kind of like a dictionary, in that it's a representation of Cognition's ability to define things. Cognition claims that its Semantic Map has over 10 million semantic connections; over 4 million semantic contexts (word meanings that create contexts for specific meanings of other related words); over 536,000 word senses (word and phrase meanings); 75,000 concept classes (or synonym classes of word meanings); 7,500 nodes in the technology's ontology or classification scheme; and 506,000 word stems (roots of words) for the English language.

Personal knowledge management is becoming one of the most critical skills that information workers like journalists, marketers and PR pros need to succeed today. Specifically, I am talking about the efficient collecting, processing and weeding of massive amounts of data. In this post I want to offer tips on how to take full advantage of tagging information in Gmail.

To begin using SemantiFind, you must go to www.google.com - the service won't work from iGoogle or your Google search box in your browser. After you enter your search term in the box as usual, you then are prompted to indicate the precise meaning of your term before starting your query. This is done through the use of a drop-down box where specific terms and their definitions display. For example, if you were searching for "Georgia," you would be presented with the option to select either the U.S. state or the former soviet republic.

The project KiWi is concerned with knowledge management in Semantic Wikis and funded by the European Commission under the Project Number 211932 in the EU Seventh Framework Programme (FP7). KiWi's objective is to investigate how knowledge management in highly dynamic environments can be supported using Semantic Wiki technologies, and how Semantic Wikis can be improved to satisfy the requirements of knowledge management. For this purpose, KiWi will * implement an advanced knowledge management system based on the Semantic Wiki IkeWiki and extend it by improved, rule-based reasoning support, information extraction, personalisation, and advanced visualisations and editors * verify the system on two use cases in the areas of project knowledge management and software knowledge management, with flexible workflow models and specific support for the respective application areas.

Triplify is based on the definition of relational database queries for a specific Web application in order to retrieve valuable information and to convert the results of these queries into RDF, JSON and Linked Data. Experiences showed that for most web-applications a relatively small number of queries (mostly between 3-7) is sufficient to extract the important information. After generating such database views the Triplify software can be used to convert the view into an RDF, JSON or Linked Data representation, which can be shared and accessed on the (Semantic) Web.

The NeuroCommons project seeks to make all scientific research materials - research articles, annotations, data, physical materials - as available and as useable as they can be. We do this by both fostering practices that render information in a form that promotes uniform access by computational agents - sometimes called "interoperability". We want knowledge sources to combine meaningfully, enabling semantically precise queries that span multiple information sources. Our work covers general data and knowledge sources used in computational biology as well as sources specific to neuroscience and neuromedicine. The practices that we develop and promote are designed to play well on the Semantic Web. We view our technical work not as creating a new service or content library, although we do both, but rather as helping to promote the growth of semantically linked scientific information.

This paper not only shares the designing and implementation challenges faced by the KnowGenesis team, but also presents the approach used to match the user requirements with the Library design. Based on the lessons learned during the process, the paper also presents specific set of guidelines and recommends methodologies that can provide critical assistance for developing and managing medium and large-scale repositories.

Unstructured Information Management applications are software systems that analyze large volumes of unstructured information in order to discover knowledge that is relevant to an end user. UIMA is a framework and SDK for developing such applications. An example UIM application might ingest plain text and identify entities, such as persons, places, organizations; or relations, such as works-for or located-at. UIMA enables such an application to be decomposed into components, for example "language identification" -> "language specific segmentation" -> "sentence boundary detection" -> "entity detection (person/place names etc.)". Each component must implement interfaces defined by the framework and must provide self-describing metadata via XML descriptor files. The framework manages these components and the data flow between them. Components are written in Java or C++; the data that flows between components is designed for efficient mapping between these languages. UIMA additionally provides capabilities to wrap components as network services, and can scale to very large volumes by replicating processing pipelines over a cluster of networked nodes.

KML is a file format used to display geographic data in an earth browser, such as Google Earth, Google Maps, and Google Maps for mobile. A KML file is processed in much the same way that HTML (and XML) files are processed by web browsers. Like HTML, KML has a tag-based structure with names and attributes used for specific display purposes. Thus, Google Earth and Maps act as browsers for KML files.

The Disco - Hyperdata Browser is a simple browser for navigating the Semantic Web as an unbound set of data sources. The browser renders all information, that it can find on the Semantic Web about a specific resource, as an HTML page. This resource description contains hyperlinks that allow you to navigate between resources. While you move from resource to resource, the browser dynamically retrieves information by dereferencing HTTP URIs and by following rdfs:seeAlso links.

Felix is a community effort to implement the OSGi R4 Service Platform, which includes the OSGi framework and standard services, as well as providing and supporting other interesting OSGi-related technologies. The ultimate goal is to provide a completely compliant implementation of the OSGi framework and standard services and to support a community around this technology. Felix currently implements a large portion of the OSGi release 4 specification, but additional work is necessary for full compliance. Despite this fact, the OSGi framework functionality provided by Felix is very stable.

Last week, I participated in a WWW2007 panel called "Multimedia Metadata Standards in a Semantic Web 3.0", where I took the opportunity to declare the Semantic Web dead. As you can imagine, such a declaration in front of a crowd of semantic web researchers provoked many responses. While I believe panels should be provocative and entertaining, I also have specific reasons for why I went as far as calling the Semantic Web "dead". Let me explain what I mean.