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January 22, 2019

SemLab €4 Million AI-driven research project open for participation to improve quality of life after cancer treatment with health & wearables data.

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SemLab € 4 Million Research project  ”Artificial Intelligence for monitoring health status  combining big data from new sources of health data including mobile health apps & wearables, social-, nutrition- and health records data”. The project is now open for participants within oncology or data driven organizations.

Challenge: AI (Artificial Intelligence) can provide new opportunities to define statistical and clinical significance, but present also challenges as it requires specific analytical approaches.  Cancer treatment Information will not only be collected from traditional sources (cohorts, comprehensive electronic health records and clinical registries) but there is a fast growing number new sources which will be useful to include. Semlab indicated emerging sources from personalized mobile health apps and wearables and sources from other areas such us nutrition, social, environmental data. After informed consent this data from disparate sources effectively monitor health status of individual patients, provide overall actionable insights at the point of care and improve quality of life after the cancer treatment.

Outcome: The project outcome determining and monitoring the combined effects of cancer treatment, environment, lifestyle and genetics on the quality of life, enabling early identification of effects that can cause development of new medical conditions and/or impair the quality of life.

Bram Stalknecht: We focus on how to better acquire, manage, share, model, process and exploit big data using, AI to effectively monitor health status of individual patients, provide overall actionable insights at the point of care and improve quality of life after the cancer treatment.

Participation: Semlab already have good quality partners, but we are open to discuss participation from Oncology Hospitals, Post-oncology Organizations, Pharmaceutical Companies and Health app & wearables Manufacturers. Other companies with relevant data (social, environmental, etc.) are also welcome to discuss participation.
This is a € 4 Million EC-funding Research and Innovation project proposal.

Contact: For more info please contact our sales dept:


November 15, 2017

Crypto Data: First Blockchain project for Reference Data.


SemLab is currently entering a Shared Reference Data project with distributed ledger technology, in order to simplify reference data processes. Reference data is a headache for financial instrument services, where there is a lack of coordination, legacy data systems and inefficient processes. SemLab will make the current legacy obsolete and stop the need of having own record keeping with inevitable and costly inconsistencies that need to be reconciled. The project aim is to tackle these problems through the distributed ledger prototype simulate the collaborative management of reference data, as well as the use of that data for corporate bond issuance. The project is now open for participants in the financial service industry. Data suppliers, buy- and sell side participants will be part of the project, benefit in first user experience in crypto data.

Participants could interact with reference data after issuance, with any proposed changes requiring validation by the underwriter to ensure the ledger provided a single, immutable record of all data related to the bond. The partners allowing regulators and network participants to view in real time which parties on the ledger have created, issued and proposed amendments to the data record.

The project outcome is a shared reference data platform based on disturbed ledger technology.  Results intend to demonstrate accurate and automated blockchain ref data and reduce reference data costs while improving latency and operational risks in back offices. Reference Data will be managed by one sophisticated agile system without the need of own data copies.

SemLab  is combing Artificial Intelligence and Blockchain technology to cover over 15 million financial instruments in more than 200 markets,  to improve risk management, maintain compliance with regulatory mandates and maximize operational efficiency. Artificial Intelligence, eg natural language processing, machine learning is used in text analytics in order to integrate reference content correctly.

For more participating in the first crypto-data blockchain project please contact



November 15, 2017

Grafische vormgeving van jurisprudentie? Juribot doet het!


Emma Smitshuijzen, Legal Business Analyst, over de nieuwe hoge raad- interface:

Juribot, de kunstmatige intelligentie applicatie voor juristen, komt opnieuw met een innovatieve manier om jurisprudentie inzichtelijker en transparanter te maken: dit keer met een grafische interface voor referenties in Hoge Raad zaken (ook wel: de graaf). De graaf laat u de verwijzingen binnen uitspraken van de Hoge Raad zien in een interactieve grafische interface, en daarbij ook de mate van verwijzingen. Juribot™  belicht hiermee een nieuwe innovatieve kant van het gebruik van Artificiële Intelligentie (AI) binnen het juridisch vakgebied. Met het gebruik van de graaf is inzicht krijgen in de belangrijkste jurisprudentie over een bepaald onderwerp makkelijker dan ooit.

De graaf:

  • visualiseert de referenties tussen zaken van de Hoge Raad.

  • toont bij het invoeren van zoektermen alleen de zaken die matchen met uw termen.

  • geeft verschillende filtermogelijkheden om tot het beste resultaat te komen.

  • kan gezoomed en gesleept worden om naar uw wens referenties in beeld te brengen.

  • toont met verschil in grootte de mate waarin gerefereerd wordt naar een zaak.

    • hierdoor is snel in te zien wat wordt beschouwd als een kernzaak binnen een bepaald onderwerp


Een voorbeeld van snel inzicht is de  algemene top 5 van meest-gerefereerde strafzaken:

  1. Arrest Redelijke Termijn II (ECLI:NL:HR:2008:BD2578)

  2. Arrest Afvoerpijp (ECLI:NL:HR:2004:AM2533)

  3. Arrest Hennepkwekerij (ECLI:NL:HR:2006:AU9130)

  4. Arrest Redelijke Termijn I (ECLI:NL:HR:2000:AA7309)

  5. Arrest Post-Salduz (ECLI:NL:HR:2009:BH3079)


Op dit moment is de graaf in ontwikkeling op het gebied van strafrecht, maar zoals voor alle applicaties van Juribot™ geldt: ideeën en wensen van gebruikers staan voorop. Het is mogelijk om de graaf (en de andere applicaties) door te ontwikkelen tot een product dat volledig aansluit bij uw rechtsgebied of manier van werken. Denk hierbij aan het toevoegen van eigen data of het aanpassen van de filters.


Neemt u vooral contact met mij op bij ideeën, vragen of opmerkingen Emma Smitshuijzen, . Laat het me ook weten indien u geïnteresseerd bent in een vrijblijvende demonstratie van JuriBot



February 9, 2017

JuriBot – The Dutch Legal AI Predicting Criminal Trial Outcomes

Artificial Lawyer recently caught up with Bram Stalknecht, CEO of Dutch AI developer SemLab and founder of JuriBot, a legal AI litigation analysis application capable of criminal trial outcome prediction.

Stalknecht begins by explaining that JuriBot has been built by SemLab, a Dutch company that says of itself: ‘[We are] Europe’s main developers of semantic software applications. Today we have one of the largest groups of experts in Natural Language Processing (NLP), Computational Linguistics and Artificial Intelligence technologies.’

SemLab has around 45 full time staff working on AI. The company operates in several areas and has developed legal applications before, such as CrimiKaart, which allows people to track crimes committed in Holland at a very detailed level.



October 17, 2016

Today’s gold diggers: the lawyer

Proprietary legal data is the new gold. Internal content of today’s law practice is only useful if it’s searchable and extracting the information you need for your legal advice and contract reviews.
We will be adding additional features to our legal solution:
It will become possible to search Supreme Court cases and we will start offering search functionality within your own, internal legal information and contracts.
To reflect these changes and additions the name LegalRobot will be changed into JuriBot.
JuriBot will be ready to use for a limited audience this October and will soon be available to anyone who is looking for quick, efficient and reliable results.

Eigen juridische data is het nieuwe goud. Interne documenten is in de praktijk van vandaag alleen bruikbaar als het goed toegankelijk is.
Onze juridische oplossing krijgt een aantal extra functies: Het doorzoeken van Hoge Raad cassatie informatie. Ook bieden zoekfuncties aan voor uw eigen, interne juridische informatie en contracten aan.
Daarvoor dekt de naam Legal Robot de lading niet meer en dus veranderen we de naam in JuriBot.
JuriBot wordt goldoktober uitgerold in een beperkte setting en zal beschikbaar worden later voor ieder die snel, efficiënt en betrouwbaar haar of zijn resultaten wil krijgen.


October 3, 2016

Meditra triage software nu met CE Markering


Begin 2017CE (1) komt er een verbeterde versie van Meditra dat goed is gekeurd door het Ministerie van Volksgezondheid, Welzijn en Sport.

Meditra is thans door het IGZ geaccepteerd als medisch hulpmiddel en geregistreerd .
Dit betekent dat er een CE-markering geldt voor de applicatie en dus blijft Meditra aan alle richtlijnen voldoen.
Voor het dagelijks gebruik veranderd er echter niets aan het gebruiksgemak, inclusief de computer schermen opbouw en de urgentie categorieën.
Natuurlijk is Meditra ook voor advies te gebruiken, gelinkt met de externe link van, ontwikkeld door NHG.
Nieuw is dat er een editor is toegevoegd zodat de gebruiker flexibel kan inspelen op maatschappelijke ontwikkelingen.
Per klant kan dan de specifieke medisch verantwoordelijke ad hoc aanpassingen verrichten worden.


September 22, 2016

Who is the most successful lawyer or the most strict judge in the Netherlands?

LegalRobot ™: The First Intelligent Dutch case law machine is expected as Beta on this October. This web application uses Artificial Intelligence (AI) and will be offered free of charge to legal experts and lawyers. The application includes all public cases for criminal and related case law. Other case law is added in the course of this year.

The AI LegalRobot™ has analyzed the documents so you:

  • can filter out the defendant or perpetrator characteristics.
  • can search in specific sections of the document.
  • can filter by judge or lawyer.
  • can select acquittals or convictions.

This makes it possible to estimate which lawyer at which court for which type of offense is most likely to achieve an acquittal.
Legal robot mannetje v3 middel
LegalRobot ™ is registered as a trade mark in the Benelux by SemLab Ltd.


September 22, 2016

Wie is de beste advocaat of de strengste rechter van Nederland?

Legal Robot™: De eerste Nederlandse Intelligente jurisprudentiemachine wordt in oktober verwacht als Bèta op De webapplicatie maakt gebruik van Artificiële Intelligentie (AI) en zal kosteloos worden aangeboden aan juristen en advocaten.
De applicatie bevat alle publieke jurisprudentie voor strafrecht en gerelateerde rechtsgebieden. Overige rechtsgebieden worden in het loop van dit jaar toegevoegd.
De AI van LegalRobot™ heeft de documenten geanalyseerd waardoor U:
• kan filteren op het gebruikte verweer of daderschap kenmerken.
• kan zoeken in specifieke secties van het document.
• kan filteren op rechter of advocaat.
• kan selecteren op vrijspraken of juist veroordelingen.
Hiermee wordt het mogelijk om in te schatten welke advocaat bij welke rechter voor welk soort delict de meeste kans maakt op een vrijspraak.
Legal Robot™ is als merk gedeponeerd in de Benelux door SemLab BVLegal robot mannetje v3 middel.


April 29, 2014

SemLab news analytics now available with event sentiment from non-attributed minutes of ECB governing council meetings

In a speech in Amsterdam on Thursday, the ECB president Mario Draghi said he is convinced that publishing an account of the main arguments raised in the central bank’s monthly policy meetings “would be useful” and “will on balance serve to strengthen the governing council’s collegiate decision making and communication”.
Bram Stalknecht, CEO SemLab said publishing non-attributed minutes of council meetings will open up the ECB’s decision making process, as an addition to ECB the monthly held press conferences, avoiding unexpected decisions.
With SemLab council meetings sentiment analytics, customers can react faster on ECB decisions, including conventional measures, eg liquidity operations and longer-term fixed rate operations. This provides at-a-glance insight in macro economic moving events, in a computer readable format.The resulting minute events are ranked according to their implicit sentiment on scale of -5 (negative) to 5 (positive).
Mario Draghi has backed plans for the European Central Bank to publish non-attributed minutes of its governing council meetings, a proposal that would move the central bank closer to its peers in the UK, US and Japan.


July 3, 2013

Ranking Luxury cars brands based on sentiment

SemLab’s semantic text processing platform enables the real-time monitoring of product and brand associated sentiments. In our showcase application AutoSentiment we continuously monitor the top ten most popular online automotive blog websites in The Netherlands and capture the sentiments expressed in the edited articles as well as in the readers’ comments.

In contrast to traditional sentiment tools, we determine the semantics of the expressed opinions by comparing the text to an automotive ontology of over 300 events. These events describe the most common concepts expressed in these types of text. For example the events range from “I like the car” to “the engine noise is barely audible”. Furthermore, the events are classified in the seven main quality parameters for luxury cars: Price, Looks, Driving experience, Comfort, Fuel consumption, Quality and Safety.

A live version of the AutoSentiment monitoring system is available here.


The system is currently online and has processed about 145.000 text items resulting in 141.396 useful events. Excluding all car brands that yield 50 events or less, results in data on the 37 most popular car brands currently available in The Netherlands.

Ranking this data according to the defined parameters results in the following graphs:

Luxury car brands ranked on price sentiment


The graph above lists the car brands according to the percentage of positive sentiment about its purchasing cost. On the left hand side the brands are perceived as (too) expensive, the cars on the right are deemed affordable or to offer good value for money.

The overall results are not surprising: The top five expensive car brands include Ferrari, Land Rover and Cadillac, whereas the affordable brands are Skoda, Suzuki and Mitsubishi. More interesting is the position of Dacia and Renault. Renault is perceived as significantly more affordable than its low cost sister brand Dacia, which this data puts in the same range as the acclaimed luxury brand Lexus.

Luxury car brands ranked on driving experience sentiment


Regarding the driving experience, the top three consists of Porsche, Jaguar and Ferrari. The worst driving experience is expected from Chevrolet (In The Netherlands mostly marketing the former Daewoo models) and Dacia.

Luxury car brands ranked on appearance sentiment


The aesthetics associated with the car brands result in the graph above. The bottom section is the domain of most of the Japanese brands (with the exception of Suzuki and Mazda) and, more surprisingly Volkswagen. The top section is populated by the Italian design of Alfa Romeo and Lancia, but also Tesla whose limited model range has an almost unanimous appeal.
Value for money

Another way of examining this data is to plot one factor against the other. For instance when using price on the horizontal axis and the looks on the vertical axis results in the graph below.

Luxury car brands ranked on looks versus price sentiment


This graph clearly illustrates that for affordable good looking cast the Italian brands are in a league of their own. Fiat seems to be a bit out of contact with the other Italian brands, but still scores higher than most traditionally German brands.

The French brands are mostly associated with reasonably affordable and generally comfortable cars. This expectation can also be checked using our data since comfort was one of the main parameters included. The graph below plots the perceived comfort versus the price level of that brand.

Luxury car brands ranked on comfort versus price sentiment


The graph above illustrates that the Italian brands are perceived to offer less comfortable cars that the traditionally French brands. German brands score similarly but are generally in a higher price range. Surprisingly, Volkswagen scores higher than the luxury brands Mercedes and BMW. This may well result from the definition of Comfort used in this test, which included ergonomics, personal space and general practicality.

The conclusion that we draw from these results is that the data appears to be in agreement with most stereotypical preconceptions about the car brands. This is a good thing since the system is aimed at capturing the opinion of the general public, which by its nature can be expected to be sensitive to stereotyping.

A logical improvement in this study is to examine the various car models instead of the generic brands. In fact, the required data is available so if anyone is interested in these results or any other aspect of real time product sentiment monitoring, please don’t hesitate to contact us.