Group items tagged

Rapid advances in information technologies continue to drive a flood of data and analysis techniques in ecological and environmental sciences. Using these resources more effectively and taking advantage of associated cross-disciplinary research opportunities poses a major challenge to both scientists and information technologists. These challenges are now being addressed in projects that apply knowledge representation and Semantic Web technologies to problems in discovering and integrating ecological data and data analysis techniques. In this paper, we present an overview of the major ontological components of our project, SEEK ("Science Environment for Ecological Knowledge"). We describe the concepts and models that are represented in each, and present a discussion of potential applications of these ontologies on the Semantic Web

This habitat of excellence is designed and maintained by scientists for scientists from various disciplines e.g. veterinary and human virology, bioinformatics, epidemiology, immunology and clinical analysis etc. From here on, you will find a series of services, starting with our EpiFlu Database (led by the Swiss Institute of Bioinformatics) providing secure storage and the analysis of genetic, epidemiological and clinical data.

This is the homepage for an ongoing research and development project named PATIKA - Pathway Analysis Tools for Integration and Knowledge Acquisition. Within this project so far, among others, an ontology has been defined; a pathway database (which integrates and interfaces with several public pathway databases) has been constructed; and some software tools have been developed for effective integration, querying, analysis, and manipulation of pathway data.

This ontology supports the development of Protégé ontologies using the OntoClean methodology (PDF). This methodology for ontological analysis was developed by N. Guarino and C. Welty. The OntoClean methodology applies the notions used for ontological analysis in philosophy to analyzing conceptual modeling in information systems. If you include this Protégé ontology in your ontology, you can annotate your classes with meta-properties of identity, unity, essence, and dependence. The OntoClean ontology in Protégé also contains constraints in the Protégé Axiom Language (PAL) enabling you to verify whether the ontology is "clean"---does not violate any of the constraints based on these properties.

BioJava is an open-source project dedicated to providing a Java framework for processing biological data. It includes objects for manipulating biological sequences, file parsers, DAS client and server support, access to BioSQL and Ensembl databases, tools for making sequence analysis GUIs and powerful analysis and statistical routines including a dynamic programming toolkit.

TagCrowd is a web application for visualizing word frequencies in any user-supplied text by creating what is popularly known as a tag cloud or text cloud. TagCrowd is taking tag clouds far beyond their original function: * as topic summaries for speeches and written works * as blog tool or website analysis for search engine optimization (SEO) * for visual analysis of survey data * as brand clouds that let companies see how they are perceived by the world * for data mining a text corpus * for helping writers and students reflect on their work * as name tags for conferences, cocktail parties or wherever new collaborations start * as resumes in a single glance * as visual poetry

In 2000, Nicola Guarino and Chris Welty published a series of papers on what came to be named OntoClean, a methodology for ontology-driven conceptual analysis. The methodology has been receiveing increasing levels of attention in various communities, and on this page we hope to provide a central repository for information regarding OntoClean, to help keep the community in touch with how the methodology is being implemented, supported, used, extended, and referenced.

The goal of this project is to develop a Python tool to make an in-depth quantitative analysis about Wikipedia, generating graphics and statistical results for each language version of Wikipedia.

This doctoral thesis offers a quantitative analysis of the top ten language editions of Wikipedia, from different perspectives. The main goal has been to trace the evolution in time of key descriptive and organizational parameters of Wikipedia and its community of authors.

The aims of clinical and translational research are to achieve a better understanding of the pathogenesis of human disease in order to develop effective diagnostic, therapeutic and prevention strategies. Biomedical informatics can play an important role in supporting this research by facilitating the management, integration, analysis and exchange of data derived from and related to the research problems being studied. A key aspect of this support is to bring clarity, rigor and formalism to the representation of 1. disease initiation, progression, pathogenesis, signs, symptoms, assessments, clinical and laboratory findings, disease diagnosis, treatment, treatment response and outcome, and 2. the interrelations between these distinct entities both in patient management and in clinical research, thus allowing the data to be more readily retrievable and shareable, and more able to serve in the support of algorithmic reasoning.

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.

ECOSPACE pursues the vision that by 2012 every Professional in Europe is empowered for seamless, dynamic and creative collaboration across teams, organisations and communities through a personalised collaborative working environment. ECOSPACE contributes to this vision through 4 main objectives: * The definition of innovative work paradigms through the analysis of eProfessionals and their related organisation. * The design and development of an open standards, service-oriented architecture for complementary and alike systems. * A collaboration middleware and services to enable seamless and instant collaboration among knowledge workers in group forming networks, beyond organisational boundaries. * The creation of new tools that simplify the complexity of collaboration in dynamic work environments and which enable users for creative and knowledge intensive tasks.

This text sets out a series of approaches to the analysis and synthesis of the World Wide Web, and other web-like information structures. A comprehensive set of research questions is outlined, together with a sub-disciplinary breakdown, emphasising the multi-faceted nature of the Web, and the multi-disciplinary nature of its study and development. These questions and approaches together set out an agenda for Web Science, the science of decentralised information systems. Web Science is required both as a way to understand the Web, and as a way to focus its development on key communicational and representational requirements. The text surveys central engineering issues, such as the development of the Semantic Web, Web services and P2P. Analytic approaches to discover the Web's topology, or its graph-like structures, are examined. Finally, the Web as a technology is essentially socially embedded; therefore various issues and requirements for Web use and governance are also reviewed.

This paper is based on a study of personal experience narratives told by witnesses of the September 11th attacks in calls to C-SPAN. Drawing on research on narratives of ordinary and extraordinary experiences and witnessing, the author offers a framework for analyzing the structure and function of eyewitness accounts. Analysis focuses on methods callers use to show and tell the audience where they were, what they were doing, and what they were thinking at the time of the attacks. Verbal, visual, and structural features of these narratives are highlighted, with particular attention given to orientation and ideation components of the narratives. The design of these components and their location within the callers' stories are shown to construct the narratives as eyewitness accounts, position the callers and audience members as witnesses, and engage all in a therapeutic sensemaking process.

In our work the traditional bipartite model of ontologies is extended with the social dimension, leading to a tripartite model of actors, concepts and instances.We demonstrate the application of this representation by showing how community-based semantics emerges from this model through a process of graph transformation. We illustrate ontology emergence by two case studies, an analysis of a large scale folksonomy system and a novel method for the extraction of community-based ontologies from Web pages.

Linked Environments for Atmospheric Discovery (LEAD) makes meteorological data, forecast models, and analysis and visualization tools available to anyone who wants to interactively explore the weather as it evolves. The LEAD Portal brings together all the necessary resources at one convenient access point

If companies cannot develop a culture of knowledge sharing and innovation, it's primarily because they are having a hard time measuring the benefits. All metrics of intangibles -and KM in particular- are shaky, and the most promising ones, based on network analysis (VNA) still have a long way to go before they become generally accepted practices. In the meantime, organizing a knowledge market might be the best way to go. Let's imagine what it would look like… First, a separate organization for shared knowledge services would have to be set up, if it doesn't exist already. For lack of a better phrase, let's cal it the corporate university. The problem is that corporate universities, when they exist, are focused on executive programs, which is a very small part of the problem.

how tagging transforms the solitary browsing experience into a social one

Pig is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs. The salient property of Pig programs is that their structure is amenable to substantial parallelization, which in turns enables them to handle very large data sets.

Central to Web 2.0 is the requirement for interactive systems to enable the participation of users in production and social interaction. Consequently, in order to critically explore the Web 2.0 phenomenon it is important to explore the relationship of interactivity to social power. This study firstly characterises interactivity in these media using Barry's (2001) framework differentiating interactivity from disciplining technologies as defined by Foucault. Contrary to Barry's model though, the analysis goes on to explore how interactivity may indeed function as a disciplining technology within the framework of a neoliberal political economy.