Spinque is a spin-off company from CWI that builds on the research into Databases and Information Retrieval integration. We build tailor made search engines over connected datasets. Our technology allows to compose what we call “search strategies” out of pre-defined building blocks, and compile these strategies into custom, interactive search engines. With Spinque, information specialists can determine the way they approach their search tasks, and adapt their search strategy to the task at hand. Our main selling point today is to provide diversity thanks to flexibility. Relying on our unique approach to generate search engine technology from declarative specifications, we can provide the search engine for “search-based applications” at a low cost, tackling problems in core search but also related domains such as business intelligence, recommendation and ontology alignment.
Our main selling point today is to provide diversity thanks to flexibility. Relying on our unique approach to generate search engine technology from declarative specifications, we can provide the search engine for “search-based applications” at a low cost, tackling problems in core search but also related domains such as business intelligence, recommendation and ontology alignment.
[..]
Looking forward, our ambition is to become the first choice for supplying “middleware search technology”. Thanks to the advances made in our search platform, we can define, generate and deploy search engine APIs with very low overhead. Keeping this platform up-to-date with advances in search and related disciplines requires a dedicated team with high technical expertise. We aim at creating a partner network for developing the end-to-end search solution, and building a developer pool who realize the power of our search platform.
http://ecir2015.ifs.tuwien.ac.at/wp/?page_id=117#talk_devries
1. Spinque
A Story of Adaptation
Arjen P. de Vries
@spinque
ECIR Industry Day, 2015
2. background
Information Retrieval and DB integration
Cornacchia et al. Flexible and efficient IR using Array Databases. VLDB‘08 Journal
Mühleisen et al. Column Stores as an IR Prototyping Tool. ECIR’14 & SIGIR’14
5. background
concept
Information Retrieval and DB integration
Cornacchia et al. Flexible and efficient IR using Array Databases. VLDB‘08 Journal
Mühleisen et al. Column Stores as an IR Prototyping Tool. ECIR’14 & SIGIR’14
Search by Strategy
Alink et al. Searching CLEF-IP by strategy. CLEF’09
PatOlympics, 2010 and 2011
6. Norbert Fuhr, Thomas Rölleke. A Probabilistic Relational Algebra for the Integration of Information Retrieval and Database Systems (1994)
12. background
concept
product
Information Retrieval and DB integration
Cornacchia et al. Flexible and efficient IR using Array Databases. VLDB‘08 Journal
Mühleisen et al. Column Stores as an IR Prototyping Tool. ECIR’14 & SIGIR’14
Search by Strategy
Alink et al. Searching CLEF-IP by strategy. CLEF’09
PatOlympics, 2010 and 2011
Tailored access to connected datasets
14. “What happens if an
entrepreneur approaches
an angel investor, a VC
company, a bank, or a
prospective buy-out
partner? What sort of
numbers are typical in the
life-cycle of a company?
What's this "Series A"
people go on about?”
15.
16. Technology mindedness
Original internal codename: 5F (Flexibility, eFFiciency, and eFFectiveness)
Work on projects because we think they are cool (instead of work for a client with a business need)
17.
18. Technology mindedness
Original internal codename: 5F (Flexibility, eFFiciency, and eFFectiveness)
Work on projects because we think they are cool (instead of work for a client with a business need)
Work on projects because we think they are cool (instead of work for a paying customer with a business need)
Target: partner with other, less technology minded companies
19. Look & feel
Effect not to be underestimated...
Method: partner with other, UI/UX minded companies
Background: Spinque started as a spinoff company from CWI. Research on Information Retrieval on top of Databases. People not familiar with this work, one of the interesting advantages as that it creates a flexible environment where you can intuitively combine keyword search with structured queries. Implement XML search, Graph search, Feature-based search??? This flexibility is one of the key features from Spinque.
Concept: Spinque started in the context of a project to search patents. Finding patents is a complex task performed by domain specialists. Patents are structured documents and linked to references and external documents. Specialists know how to search in which parts. Spinque provided the environment to express complex search “strategy”. Not as a query, but as the algorithm. Spinque won the PatOlympics twice, 2010, 2011.
Evolved into a technology and toolset to make connected data accessible. Commercial and research projects to build search engines for ...