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

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.

Semlab to research News Optimised Risk Management (NORM)

The European Union has approved our NORM proposal. Semlab and a consortium of international partners will start researching News Optimised Risk Management.

In today’s chaotic financial climate, systems for predicting market behaviour and attitudes of financial professionals are under scrutiny. Current market risk assessment characteristics disregard market information that is available from additional sources like, for example, financial news. There are whole new possibilities for producing meaningful market behaviour models by incorporating behavioural and quantitative finance, using the latest techniques and powerful modelling tools. The prevailing market environment can (to some extent) be captured by key innovative techniques of news analytics that quantify news sentiments. The emergence and impact of such behavioural finance is illustrated by the 4-5 Nobel Prizes for Economics awarded in this field in recent years.

This project aims to enhance market risk assessment metrics by using semantically analysed news-based information. This will compensate for inflexibility of existing models with regard to strong market fluctuations or market instability and give more dynamic, more reliable market risk estimation.

Semlab lecture at Dow Jones meeting in Frankfurt

Semlab’s director of research, Dr. Mark Vreijling, was invited by Dow Jones to lecture on ‘Semantic analyses for non scheduled event driven trading’ at ‘The Evolution of Trading & Execution’ meeting in Frankfurt am Main, on Wednesday the 18th of November, 2009.

Other speakers include Prof. Dr. Christoph Lattemann (Professor for Corporate Governance & eCommerce, University of Potsdam), Nicole Schröpfer (Business Development Manager, Dow Jones), Klaus Brune (News Editor, Dow Jones).

For more information: Dow Jones Briefing

Solim project meeting in Riga

The Solim project’s spatial reasoning system has been in development for one year and Semlab, Picsearch and AGMlab will meet their partner Tilde at their office in Riga this week to discuss the project’s future.

Last year, the project members have determined the application’s requirements and designed the language, reasoner, translation and image search functionality of the proof of concept (PoC) application. In the coming year, these separate elements will be implemented in order to build the final application.

For more information: Solim Project website

Semlab to enhance Market Risk assessment metrics

Semlab, together with an international consortium of financial experts and supported by several large financial institutions, has submitted a proposal to the EU to enhance market risk assessment calculations by incorporating real time semantically analysed news-based market information.

The aim is to improve market risk metrics, such as the Value at Risk (VaR) and Expected Shortfall (ES). The incorporation of financial news will compensate for inflexibility of existing models with regard to strong market fluctuations or market instability and give more dynamic and more reliable market risk estimation.

The consortium consists of several top level financial experts and software companies as well as cutting edge research institutes.

ViewerPro for early health risk warning

SemLab is currently proposing a joint research effort, backed by the European Community to deploy their leading event extraction platform ViewerPro in the health risk domain.

SemLab will be leading a consortium of top level technology companies and academia to realise the next level in media monitoring. This project will include speech-to-text functionality, full support for multilinguality, self-learning event extraction and simulation-based event risk assessment.

Semlab researches spatial reasoning in Solim project

The Solim project is now well on its way. Semlab, with partners Picsearch, Tilde and AGMlab are researching the possibilities of image-based content management.

The objective of the Solim project is to improve context-aware information analysis by expansion of state of the art ontology languages and their support for automated reasoning by adding a spatial dimension. This will enable semantic systems to venture beyond a static world and add the concepts of space and change.

Current technological tools for describing semantic knowledge are incapable of adequately supporting automated reasoning on the inherent spatial properties of concepts. Information with a spatial component can be described by using an ontology that treats locations as ordinary concepts. However, in doing so the temporal-spatial consequences of the described events (locations and movement) are lost in the formalisation. This means that knowledge about the spatial aspects (such as orientation, dimension, scale, location and movement of a concept) cannot be efficiently described inside the ontology, even though it comprises valid and persistent knowledge about the domain. Spatial properties can only be dealt with in an ad-hoc manner while these are among the basic properties of physical concepts expressed in many ontologies.

The Solim project extends the ontology web language OWL so that it can support effective storage and reasoning on spatial information, and will demonstrate the power of such an extension with automatic processing of textual and graphical information.