All posts tagged semantic web

September 15, 2011

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

 

June 14, 2011

MASS Proposal passes first FP7 stage

SemLab has passed the first stage with their MASS proposal for the FP7 call on Digital Content and Languages, a funding scheme of the European Commission.

In this proposal, SemLab and innovative European partner organisations propose to create a functioning multimedia sentiment analysis platform that incorporates automatic semantic analysis of customer feedback from a wide variety of web-based multimedia, and automatic translation of small and large European languages.

In order to understand social customers, companies must understand the (often unknown) languages of their customers. Today’s existing social CRM solutions are monolingual and are not suitable for following consumers’ responses across Europe. By incorporating automatic translation for larger and smaller European languages into the system, MASS can step beyond the current state of the art and deliver a database of social media information and a system that can determine sentiment from different language groups, cultures, and countries from these data.

This will enable companies to tap into a large base of social customer sentiment, and use this in their CRM solutions. By using the latest semantic analysis technologies, the sentiment portrayed in social media can be extracted. Furthermore, smart semantic tools are used to interpret specific web language, such as shortened words or expressions, emoticons, new ‘internet’ language, etc.

 

January 11, 2011

Automated News Analysis on Wall Street

The New York Times recently published an article about the automated news anaylsis tools that are currently being used on Wall Street. The article describes the current trend – and potential – of using semantic analysis tools for analysing news, such as the news information published in news reports, blogs and Twitter feeds.

The technologies described are very similar to SemLab’s ViewerPro technology for automatic semantic analysis of news.

You can find the original article here: NY Times website

 

August 24, 2010

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.

 

September 24, 2009

Semlab to enhance Market Risk assessment metrics

risk_logo
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.

 

June 11, 2009

SemLab’s Semantic Search

The SemLab semantic search platform is based on our Vicore™ data processing platform which, among others, is the basis of our leading semantic news analysis solution ViewerPro™.

The purpose of semantic search is to improve standard keyword-based search technologies by adding domain dependent, a-priory knowledge about the semantics of the concepts entailed in the documents that are analysed. This a-priory knowledge is contained in ontologies: formal descriptions of the concepts that exist in the domain of application. In general the ontologies play a pivotal role in a semantic enabled technology and have a profound effect on its overall quality. For a search platform, the common quality parameters Precision and Recall will largely depend on the quality of the ontologies used.

Semlab’s semantic platform fully acknowledges that ontologies are the key to a successful semantic analysis system and therefore support ontology maintenance as a core technology. This includes both expert knowledge expression as well as (supervised) automatic ontology learning from domain-specific documents. In addition the SemLab platform fully supports existing base ontologies and offers their own default domain ontologies for many areas of financial information management, exactly as are used every day by the ViewerPro semantic news analysis platform.

The SemLab semantic platform is in essence a data pipelining platform in the sense that the data sources are fed to the start of the line, various relatively independent subsequent operations are done on the data. The results of these are stored in various databases.

illustration2

In the case of semantic search, the data sources consist of text documents (e.g. reports, news messages, e-mails) in various formats and the final result is an semantic index, modeling the occurrence of ontology terms in the documents. When a user presents the platform with search query, this query is treated as if it were another document and also expressed in terms of the ontology. Since both the document corpus and the user’s query are expressed within the same domain of discourse, they can be compared and ranked on similarity. Finally, using carefully designed threshold values, the resulting document sections are presented to the user in a GUI or available through an API to other applications. In addition to the retrieval of documents, the domain ontology can also be queried directly. In this way the semantic search platform also serves as a question answering tool, enabling users to quickly retrieve the corporate domain knowledge.

 

March 20, 2009

Welcome to Semlab’s blog

Welcome to Semlab’s blog. Semlab is a research and development company that focuses on knowledge discovery and decision support. Our products include ViewerPro (semantic analysis of economic news) and Meditra (decision suppport for triagist).

This blog will be used to keep you up to date on new developments of our products and research activities in computational linguistics, fuzzy logic, sematic web technologies, user interface design and many other related issues.