RETRIEVAL FOR INFORMATION SERVICES
Project Number: P01
Project Manager: Prof. dr. Peter M.G. Apers / Dr.Ir. Djoerd Hiemstra
Faculty of Electrical Engineering, Mathematics and Computer Science
Email: email@example.com / firstname.lastname@example.org
Search technology has become a key component of our daily life. The ability to locate relevant documents has become a standard commodity. This project takes search beyond merely locating documents. Entities and events are seen as the most salient ingredients of textual and audiovisual content; they represent valuable knowledge ingredients that are heavily searched for, and conveniently serve as the linking pin between heterogeneous content sets. Semantic search is structured around entities, their properties, relations, developments as well as pertinent attitudes and emotions. The project takes on the challenge of building semantic search technology, with a special focus on issue management algorithms and tools, i.e., for identifying entities, issues, naming stakeholders, capturing attitudes and emotions, and monitoring relevant events and changes in highly dynamic environments.
Planning of all dimensions
P1 will be developed in four phases, with milestones at m9, m24, m36, m48. The initial phase will focus on requirements analysis, use case analysis, data set creation, system design and making available to all project partners of tooling available at the partners’s sites as initial baselines. Later phases will consist of significant extensions to these baselines. Results typically emerge from analysis-designevaluate cycles for each milestone (in the form of papers, systems, data sets and the outcomes of user studies. Impact and valorization will be anchored in use cases and will mostly be achieved through the release (as open source or through licensing) of software. Dissemination is mainly pursued through national newspapers (NRC, Volkskrant), professional publications (Computable, Information professional, DIXIT) and public demonstrators. International embedding is realized through the organization of and participation in international competitions in information retrieval and language technology (TREC, CLEF, INEX, MediEval) and through coordination of and participation in ESF and EU FP7 programmes and international associations. Synergy is envisaged with other COMMIT projects that can benefit from P1's text-based technology (P5, P6, P7, P23) or that complement or help facilitate it (P6, P20, P23). Within P1, researchers from the humanities and social sciences have a special and explicit role, with regards to methodological grounding and content analysis aspects of the project.
Project duration: 2011-2015
Project budget: 8.2 M-€ / 2.8 M-€ funding
Number of person/months: 994 person months, 20.7 fte
Project Coordinator: Universiteit van Amsterdam
Participants: Universiteit van Tilburg, ANP, Universiteit van Amsterdam, Talking Trends, Erasmus Universiteit Rotterdam, De Persgroep, Teezir, TrendLight, Politie Gelderland-Zuid, CWI, Textkernel, UT, WCC, Beeld en Geluid, Ilse Media, ThirdSight, EUVision
Project budget CTIT: 1.1 M-€ / 495 k-€ funding
Number of person/years CTIT: 3 fte/year
Involved groups: Databases (DB), Human Media Interaction (HMI)