论文信息 - Automatic indexing of documents with ontologies

Automatic indexing of documents with ontologies

Indexing large bodies of data is necessary to enable satisfactory search results. Ontologies serve as fixed vocabularies to index data from different viewpoints. We describe howAIDAS, a software tool, automatically divides the source data (PDF documents) into reusable chunks, how it automatically indexes these chunks and stores them in a database to enable reuse.

Anjo Anjewierden | Suzanne Kabel

[1] ScienceCornell UniversityIthaca,et al. Toward a Taxonomy of Logical Document StructuresKristen SummersDepartment of Computer , 1995 .

[2] Leslie J. Briggs,et al. Principles of Instructional Design , 1974 .

[3] Bob Wielinga,et al. Ontologies for indexing Technical manuals for instruction. , 2000 .

[4] Anjo Anjewierden. AIDAS: incremental logical structure discovery in PDF documents , 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

[5] Bob Wielinga,et al. IMAT: Re-using Multi-media Electronic Technical Documentation for Training , 1999 .

[6] Mei Chen,et al. A methodology for characterizing computer-based learning environments , 1995 .

[7] Tao Hu,et al. A Mixed Approach Toward an Efficient Logical Structure Recognition from Document Images , 1993, Electron. Publ..