Applications#
1) Introduction#
TODO
2) Concepts and Models#
3) MOSAIC and MOSAIC-RAG Applications#
MOSAIC is a modular open-source search framework designed for vertical web exploration. MOSAIC enables domain-specific search by integrating index partitions downloaded from the Open Web Index (OWI). Its modular architecture supports vertical search applications by allowing customization of query execution, filtering mechanisms, metadata management, and result representation. The extension MOSAIC-RAG adopts a RAG approach. It is designed as a modular framework that has integrated a set of processing modules built on generative AI models, such as a module for re-ranking the search result, a module for summarising the full texts of the search result, or a module for summarising all search results. The main goal of MOSAIC is to serve as a backbone that allows to easily build indiviudal search applications. This is demonstrated in various ways. Evaluation studies have been undertaken that underline the achievement of this goal. Second, a seach engine has been set up using MOSAIC, that allows to search in the topic of science, health, and arts. Third, three science search application (see below) integrate MOSIAC in their software architecture.
4) Science Search Application: Earth Observation#
This use case introduces two complementary applications designed to make scientific information in the Earth Observation (EO) domain more accessible and meaningful. Both tools support researchers, analysts, and data-driven decision makers in exploring and understanding EO data and knowledge.
The first application, RAG-based Model for EO Question Answering, allows users to ask complex, natural-language questions about Earth Observation and receive clear, grounded answers supported by scientific publications, datasets, and curated web sources.
The second application, Geo-Contextualized Multi-Genre Scientific Search, is an interactive web platform for exploring EO information spatially. Users can search by topic or location, visualize results on a map, and discover relationships between research papers, web content, and satellite datasets.
Both tools simplify knowledge discovery and enhance trust in AI-assisted scientific exploration by connecting multiple information sources within an intuitive, research-oriented environment.
5) Science Search Application: Finnish Publications#
We plan to utilize the Open Web Index to enhance the features of Research.fi, a Finnish portal showcasing national research related outputs. Our plans include improvements to the existing search functionality of the website and the introduction of fields for related publications. Our work aims to improve the accessibility of information related to research and provide a generalizable framework for similar open search projects.
6) Science Search Application: CERN Publications#
TODO: Abstract
7) Location-based Mobile Search Application#
TODO: Abstract
8) Argumentation Search#
To allow people to inform themselves about arguments in controversial debates or to gather arguments for a debate, argument search engines like args.me are a valuable resource. They provide users with an interface to search for arguments about controversial topics, such as the adoption of school uniforms, or the abolition of the death penalty. In the current version of args.me, the users get a contrastive view of pro and contra arguments, providing an overview of arguments for a topic and a starting point for further research. So far, args.me is mainly based on data collected from different discussion forums. In order to broaden the data base, we aim at complementing this with data from the OWI, which provides a wider range of webpages.