Group items tagged

But invariably, simple models and a lot of data trump more elaborate models based on less data."

The Lemur Toolkit is a open-source toolkit designed to facilitate research in language modeling and information retrieval. Lemur supports a wide range of industrial and research language applications such as ad-hoc retrieval, site-search, and text mining. The toolkit supports indexing of large-scale text databases, the construction of simple language models for documents, queries, or subcollections, and the implementation of retrieval systems based on language models as well as a variety of other retrieval models. The system is written in the C and C++ languages, and is designed as a research system to run under Unix operating systems, although it can also run under Windows.

This {DATA(BASE)-NAME} is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/

COSMO is the proposed Common Semantic Model, viewed as consisting of a lattice of ontologies which will serve as a set of basic logically-specified concepts (classes, relations, functions, instances) with which the meanings of all terms and concepts in domain ontologies can be specified. The most important function of the COSMO is to serve as a Foundation Ontology that has a sufficient inverntory of fundamental concept representations so that it can support utilities to translate assertions of fundamentally different ontologies into the terminology and format of each other. The use of a common set of defining concepts will permit accurate interoperability of knowledge-based systems using the logical relations of their ontologies as the basis for reasoning in the system. The COSMO can also be used as the starting ontology for creation of more specialized domain ontologies.

YourVersion continuously discovers new and personally relevant web content based on your interests, and lets you easily bookmark and share your discoveries with friends.

The GoodRelations ontology provides the vocabulary for annotating e-commerce offerings (1) to sell, lease, repair, dispose, and maintain commodity products and (2) to provide commodity services. GoodRelations allows describing the relationship between (1) Web resources, (2) offerings made by those Web resources, (3) legal entities, (4) prices, (5) terms and conditions, and the aforementioned ontologies for products and services (6). For more information, see http://purl.org/goodrelations/ Note: The base URI of GoodRelations has changed to http://purl.org/goodrelations/v1. Please make sure you are only using element identifiers in this namespace, e.g. http://purl.org/goodrelations/v1#BusinessEntity. T

The Network Workbench Community Wiki is the part of Network Workbench (NWB) project. It provides descriptions for algorithms and datasets that have been integrated in the NWB Tool. It is also a place for users of the NWB Tool, the Cyberinfrastructure Shell, or any other CIShell based program to get, upload, and request algorithms & datasets to be used in the tool. This site is a sounding board to be used by the community to work together and create a tool which will meet their needs and the needs of the scientific community at large.

Semantic Cloud is the API that powers semantic search engine SenseBot and contextual linking tool for bloggers LinkSensor. The API supports SOAP and REST protocols (HTTP GET). The idea is to empower semantic startups or any ventures that are looking to utilize an affordable high-quality semantic solution to build their applications. Semantic API features include: * extraction of semantic concepts from a page or document; * creating a "semantic cloud" of concepts describing a group of documents; * generating a multi-document summary of a set of pages; * generating an essay on a topic based on a set of documents. Multiple parameters allow the client to control the type and format of results.

SCRIBO - Semi-automatic and Collaborative Retrieval of Information Based on Ontologies - aims at algorithms and collaborative free software for the automatic extraction of knowledge from texts and images, and for the semi-automatic annotation of digital documents.

KnowledgeForge is a digital open knowledge community based around this site. It is built on the KForge system and aims to provide you with the facilities and tools to create everything from a new textbook to maps. The only requirement to host a project on this site is that it be open.

Belvedere 4.1 is designed to help support problem-based collaborative learning scenarios with concept and evidence moodels, and provides multiple representational views (tables and graphs) on those models. Belvedere was originally intended to help secondary school students learn critical inquiry skills that they can apply in everyday life as well as in science, but can be adopted to other applications as well.

"This research is grounded in the anthropological understanding that each individual is a unique 'energy source' (Bateson 1972) responsible for acting upon their socially and culturally inflected interpretations in an equally particular way. These indexes capture the actual moments of interaction, of the coming together of individuals in conversational and behavioural exchange (Rapport and Overing 2000). The indexes in this research focus on the socio-cultural field (rather than physical, archaeological or linguistic sub-disciplines), which has been a key element of the discipline since its establishment in the 19th century. Above all, this report highlights how this Cultural Mapping project will offer unparalleled global access into anthropology's own minimal definition: that is, a means to see the Other as Self, and the Self as Other."

Interesting work, based in anthropology

Zenbe is free email that works with the email you already use. Zenbe offers many features, including email, online calendar, lists, mobile sync, file sharing, team collaboration. It even works with Facebook and Twitter.

We propose a biologically and physically plausible model for ants and pheromones, and show this model to be sufficiently powerful to simulate the computation of arbitrary logic circuits. We thus establish that coherent deterministic and centralized computation can emerge from the collective behavior of simple distributed markovian processes as those followed by ants.

"The debate within the Web community over the optimal means by which to organize information often pits formalized classications against distributed collaborative tagging systems. A number of questions remain unanswered, however, regarding the nature of collaborative tagging systems including whether coherent categorization schemes can emerge from unsupervised tagging by users. This paper uses data from the social bookmarking site del.icio.us to examine the dynamics of collaborative tagging systems. In particular, we examine whether the distribution of the frequency of use of tags for “popular” sites with a long history (many tags and many users) can be described by a power law distribution, often characteristic of what are considered complex systems. We produce a generative model of collaborative tagging in order to understand the basic dynamics behind tagging, including how a power law distribution of tags could arise. We empirically examine the tagging history of sites in order to determine how this distribution arises over time and to determine the patterns prior to a stable distribution. Lastly, by focusing on the high-frequency tags of a site where the distribution of tags is a stabilized power law, we show how tag co-occurrence networks for a sample domain of tags can be used to analyze the meaning of particular tags given their relationship to other tags."

The paper shows that the tags users choose are not chaotic, but rather quickly converge to a common descriptive set of tags that is almost unchanging over time. Perhaps once the tags have stabilized, coherent URI-based identification schemes could emerge?

Nice paper, thanks. Categories / tags / subjects / topics / issues ... that's what I'm working with right now. p.s. sure would be nice if the email notification included the source URL. I'm far more likely to download the PDF when I see something like www2007.org/paper635.pdf