multidokumenttis

Multidokumenttis is a concept in information management and information retrieval that describes the handling, integration, and analysis of information spread across multiple documents rather than a single source. It refers to methods and systems designed to aggregate content from distinct documents, align and compare facts, and enable reasoning over a combined body of information. The aim is to support cross-document retrieval, synthesis, and decision making.

The concept is applied in contexts such as legal case management, scientific literature reviews, archival research, and business intelligence, where important evidence, facts, or narratives appear in several reports, datasets, or records. A multidokumenttis approach often seeks a unified representation of the corpus, for example through a document graph or a fused summary, while preserving provenance and version history for traceability.

Key components include collection and normalization of disparate documents, alignment of content across sources, cross-document entity resolution, and provenance tracking. A practical implementation may involve a data model that supports linking entities and statements across documents, as well as interfaces for cross-document querying and summarization.

Techniques used in multidokumenttis draw on natural language processing, including entity extraction and coreference resolution, ontology alignment, data fusion, and cross-document summarization. Indexing and retrieval strategies are adapted to support queries that span multiple sources.

Challenges include heterogeneity of data formats, scaling to large corpora, noise and conflicting information, privacy and licensing considerations, and the evaluation of cross-document analyses. The term is used in some Estonian-language and interdisciplinary contexts, and is related to cross-document information retrieval, data fusion, and knowledge graphs.