semantic technologies
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Google lancia Knowledge graph, la nuova ricerca grafica e consapevole
MILANO - Arriva, per ora soltanto negli Stati Uniti ma presto anche nel resto del mondo, la ricerca consapevole. Google infatti cambia il suo modo di restituire i dati agli utenti: «Quando cercate, non cercate solo una pagina web. Volete risposte, comprendere concetti ed esplorare - recita il comunicato di Mountain View - La nuova frontiera della ricerca è comprendere elementi del mondo reale e le relazioni tra di essi.
Technologies | Knowledge Media Institute | The Open University
Hot [35] Active [15] Classics [20] New ROLE course about Self-Regulated Learning Successful review for ROLE OU rolls out Argument Mapping in its VLE Linking semantically similar publications from Open Access repositories using text mining from full-text and representing the relations as Linked Data
SOA4All Studio
SOA4All is organizing a special training session to demonstrate “What SOA4All can do 4U”. The event will take place in Brussels on October 21, 2010, the day after the Internet of Services 2010 – Collaboration Meeting for FP6 & FP7 projects. The aim of this session is to present the latest SOA4All software technologies, give a quick overview on the capabilities of the software, as well as explain how to obtain and use it so that your project can benefit from and build upon SOA4All results .
Thoughts on Google Plus: The Magic Isn’t Social, It’s Semantic - semanticweb.com
It’s been said that I’ve called Google Plus “one of the subtlest and most user-friendly ontology development systems we’ve ever seen.” I did, and you can listen for yourselves on the Semantic Link podcast . Why did I do so?
Ontology Engineering and Linked Data Management | Ontotext
Building a Reference Structure for Managing Linked Open Data Linking Open Data (LOD) project facilitates the emergence of a web of linked data by publishing and interlinking open data on the web in RDF. The 203 datasets in LOD cover a wide spectrum of subject domains – biomedical, science, geographic, generic knowledge, entertainment, government. As they constantly increase we are facing the problem of accessing them conveniently, manipulating them and further developing them. Having this large set of interconnected data, equipped with ontologies describing parts of them calls for approaches for their efficient usage and better integration.
PROTON (PROTo ONtology) Home Page
This is the home page of the PROTON Ontology ( PROTo ONtology ) . It has been developed in the scope of the SEKT Project . Some important URL-s, relating to PROTON , follow below. The PROTON Knowledge Management ontology is the new, fourth module, already part of PROTON .
Multiple projects already use UMBEL at their core, or are creating content using the UMBEL ontology and/or its reference structure. Here is a list of these projects, and some information about how UMBEL has been integrated in different projects. Please contact us, on the community group , to let us know about new projects that use UMBEL so that we can list them in this section. FactForge - the largest and best performing reasoning engine leveraging linked data; the system provides easy access to the most central Linking Open Data (LOD) datasets such as DBpedia, Freebase, Geonames and UMBEL.
Projects | UMBEL
Technologies | Ontotext
Ontotext works in the following technology areas: OWLIM is an industrial-scale semantic database, using Semantic Web standards for inference and integration/consolidation of heterogeneous data. Life Sciences vertical is focused on the development of semantic applications and solutions for the specific needs of life sciences and health care domain. WebMining is a group that develops web crawling, screen scraping and web mining software for various domains: job offers in UK ( Innovantage ), second-hand car market in the US ( RonsMap ), etcKIM Platform | Ontotext
If you are a technical expert and you have a good knowledge of Semantic Web technologies, you can also download and install KIM on your own server. Ontotext is a Sirma Group company
Basel: Uncovering Financial Crime | Ontotext
In 2009 Ontotext ran a project for the International Center for Asset Recovery ( ICAR ) of Basel Institute on Governance ( http://www.baselgovernance.org/ ), creating the Asset Recovery Intelligence System ( ARIS ) Platform prototype. Corruption and stealing of national assets by dictators and former dictators (so-called Kleptocrats) is a big problem world-wide. It is especially huge in developing countries, since it robs the national economies of much needed financial resources. For example, General Sani Abacha, who was de facto President of Nigeria from 1993 to 1998, is reported to have siphoned a total of 3 billion GBP out of the country's coffers. ICAR helps the Financial Intelligence Units ( FIU s) of developed and developing countries in the areas of financial investigations, fight against corruption and money laundering, asset tracing and recovery, mutual legal assistance.
MAPEKUS » About
Research of the information space properties and its enhancement in order to allow an automated information processing (e.g., by recommending information and information space paths) represents an active research area at present. The contemporary Web has been designed to be browsed by a human. In order for a machine to be able to move effectively in the information space, the properties of the Web (as a network, but also as a storage of data, information, and knowledge) and the regularities of this network development must be better comprehended. Based on this, the network has to be enhanced with the structures expressing semantics which will enable an automated reasoning in this information space. At the same time, understanding the activities of a user working with information in the web and making use of the information acquired in order to achieve a more effective information providing and processing appears as a key issue.Abstract. Effective access to information on the Web, which has become vital to many users and to the whole society, is being hampered by information overload, unavailability of information, navigation issues and user diversity. We aim to facilitate the slow adoption of the Semantic Web by devising an enhanced faceted semantic browser with support for multi-paradigm exploration, personalized recommendation and adaptive view generation. We employ facet and restriction selection, ordering and annotation to address information overload and user guidance, and adaptive view generation with incremental graph visualization to enable end-user grade exploration of semantic web content.
Personalized Exploratory Search in the Semantic Web
The basic and minimal unit of information in Ontology4 is the subject-relation-object-time quadrupel. The subject always plays the active role and the object always plays the passive role in the relation between subject and object. A start time or a time interval can be also assigned to the relation as an option.
Knowledge Navigator <^> Introduction
Adaptive Knowledge Network and Recommendation Systems
We are sorry, the document that you have requested is no longer available. If you think you have reached this page in error, please contact customer support .Scalable to reasonably large data sets. Our core algorithms for clustering, classfication and batch based collaborative filtering are implemented on top of Apache Hadoop using the map/reduce paradigm. However we do not restrict contributions to Hadoop based implementations: Contributions that run on a single node or on a non-Hadoop cluster are welcome as well.
Apache Mahout:: Scalable machine-learning and data-mining library
Semantic tools