SemLab talk on SMT and News Sentiment Analysis at Multilingualweb meeting (W3C)

SemLab’s project director Thomas Dohmen will give a presentation on the benefits and problems of using Statistical Machine Translation for News Sentiment Analysis at the Multilingualweb workshop in Limerick, Ireland.

SemLab is a partner in the LetsMT project for machine translation of smaller European languages, such as Latvian, Danish, Dutch and Croatian. The resulting translation engines of the LetsMT project are showcased on SemLab’s Newssentiment.eu website once completed.

For more information, please visit:
Multilingual web
LetsMT
Newssentiment.eu

Positive evaluation of Let’sMT! project’s 1st year

SemLab and the other partners of the Let’sMT project have met in Luxembourg to present the results of the first year of the project.

Presentations were given for each of the work packages as well as a live demo of the already operational translation system, the translation widget and browser plugin.

The preliminary response from the evaluators was very positive and the project will continue as planned.

Final SOLIM project meeting in Istanbul, Turkey

 

The SOLIM project (Spatial Ontology Language for multimedia Information Modelling) is nearing completion. This week the project partners will meet in Istanbul to discuss the project results and possible future projects.

During the project we have developed two proof of concept applications that show the advantages of using spatial ontology languages for Image Search and Machine Translation technologies.

SemLab website redesigned

The SemLab website has been redesigned. The new website is more easy to navigate, with information that is concise and with updated graphics. The two flagship products, ViewerPro and Meditra now have their own dedicated sections, and there are separate pages dedicated to our research projects and careers.

Have a look at SemLab’s new website

EuroScope project receives Service Innovation & ICT funding

Semlab, together with Partners Infa and DowJones, received funding from the Netherlands’ newest innovation programme Sii (Service Innovation & ICT) for their Innovative project ‘EuroScope’.

The Sii programme aims at making the Netherlands the European center for smart information and media services as well as for financial logistics.

With the EuroScope project, Semlab and partners will research the possibility of using live news information and automatic semantic anaylsis to improve the state of the art in personalised financial planning software.

Vacature: Onderzoeker/Developer

SemLab is een groeiend kennisintensief en innovatief softwarebedrijf met hoogopgeleide medewerkers.
SemLab heeft een internationale klantenkring, die bestaat uit de grootste financiële services organisaties in Europa. Ook klanten in Nederland worden bediend met beslissingsondersteunende applicaties waarbij het er om draait de beschikbare informatie juist te interpreteren en snel de juiste actie te ondernemen.
Of het nu gaat om patiëntenzorg of de handel in derivaten, SemLab’s nieuwste software applicaties ondersteunen de professional met de juiste informatie om snel tot het optimale resultaat te komen.

SemLab maakt nu een grote groei door en zoekt per direct een:

ONDERZOEKER/DEVELOPER Kennistechnologie

SemLab zoekt een enthousiaste, zelfstandige onderzoeker / software developer kennistechnologie.

Heb je een academische opleiding afgerond (MA), vind je het leuk om zelfstandig aan projecten te werken en daarvoor de benodigde kennis te vergaren? Heb je ruime ervaring met ontwikkelen in Java en affiniteit met taaltechnologiën of beslissingsondersteuning? Neem dan contact met ons op voor een uitdagende baan.

Aangezien SemLab in beginsel een softwarebedrijf is, is het de bedoeling dat de ontwikkelde inzichten worden omgezet naar commerciële applicaties. Daarom is voor deze functie een uitmuntende kennis van (web) applicatie ontwikkeling in Java een absoluut vereiste.

Affiniteit met financiële services of  strekt tot aanbeveling

We bieden een interessante functie met doorgroeimogelijkheden, een marktconform salaris en leuke collega’s.

Reageren?

Mail naar info@semlab.nl of bel naar 0172 494 777 en vraag naar Dr. Mark Vreijling.

Acquisitie op deze functie wordt niet op prijs gesteld.

SOLIM project submits research paper

Part of the SOLIM project’s research results have been submitted as a research paper entitled “The use of OWL for Spatial Knowledge based Applications” in the Semantic Web journal.

The paper was written by representatives of SemLab, Tilde, Picsearch and AGMLab. In this paper it is demonstrated that the use of OWL and spatial reasoning tools – despite shortcomings – enables effective storage of, and reasoning with spatial information by use of a hybrid solution. The utility of this solution will be illustrated by its application in two diverse domains; automatic processing of textual information and querying of graphical information, in machine translation and image searching applications.

SOLIM project in last phase

The Solim project for spatial reasoning has entered the last phase, in which the technology developed will be implemented into two POC applications for evaluation. The two applications that will utilise the spatial reasoning technology are Picsearch’s Image Searching system and Tilde’s Machine Translation system.

Active summer for SemLab

Even though summertime is usually a calm time for technology companies, SemLab has been very active in several commercial projects. We have been installing, testing and running our ViewerPro software at several large financial institutions and organisations in various countries. In addition, we are involved in several international research projects.

NORM – News Optimised Risk Management project started

The NORM project has now officially started. NORM, short for News Optimised Risk management, is a project commissioned by the European Union to research the effects of financial news on market risk predictions. In order to study this, the project will use SemLab’s ViewerPro system for automated semantic news analysis, together with state of the art risk modelling techniques.