OHM at Kainua17
Download as PPTX, PDF
0 likes221 views
The document discusses OpenHistoryMap (OHM), a public archaeology and participatory GIS project. It addresses OHM's approach to digitizing archaeological data at different levels of detail, developing a research ontology to track interpretations, and reliability of source information. The document also outlines OHM's open-source technology stack built on OpenStreetMap and its custom additions like a tiler, time travel toolbar, and Archaeological Research Database to integrate archaeological research. Finally, it invites the audience to join the open-source OHM community.
OHM at Kainua17
- 1. KAINUA 2017 - 21st of April, Bologna OpenHistoryMap Silvia Bernardoni Marco Montanari Raffaele Trojanis
- 2. KAINUA 2017 - 21st of April, Bologna What is OHM Public/Participatory Archaeology Web GIS Open Access束Best effort損 For the user by the user
- 3. KAINUA 2017 - 21st of April, Bologna Assumptions Beyond the physical elements, everything else is interpretation Each interpretation is bound to a specific research Each research needs to be traceable Starting from these assumptions, each discussion needs to be in part about the ontology and in part about the digitization, requiring the differentiation of data from a physical and interpretative point of view
- 4. KAINUA 2017 - 21st of April, Bologna The OHM approach
- 5. KAINUA 2017 - 21st of April, Bologna Data digitization Points and Lines vs Polygons Points Lines Polygons No physical evidence Physical evidence Historical Data Archeological Data
- 6. KAINUA 2017 - 21st of April, Bologna Data digitization Measure with micrometer, Mark with chalk, Cut with axe Jim Fuller Coarse details Level 0 Level 1 Detailed world
- 7. KAINUA 2017 - 21st of April, Bologna Data digitization Marzabotto data as test for the system
- 8. KAINUA 2017 - 21st of April, Bologna Data digitization Low zoom level = less detail Polygons of buildings Landuses Natural environment Roads and rivers (infrastructure)
- 9. KAINUA 2017 - 21st of April, Bologna Data digitization Medium zoom level = Medium detail Polygons of buildings Landuses Internal separations in buildings Floors Natural environment Roads and rivers (infrastructure) Small local anthropic modifications
- 10. KAINUA 2017 - 21st of April, Bologna Data digitization Medium zoom level = Medium detail Polygons of buildings Landuses Internal separations in buildings Floors Natural environment Roads and rivers (infrastructure) Small local anthropic modificationstype wall hypothetical yes type drain hypothetical no
- 11. KAINUA 2017 - 21st of April, Bologna Data digitization Medium zoom level = High detail Polygons of buildings Landuses Internal separations in buildings Floors Natural environment Roads and rivers (infrastructure) Small local anthropic modifications
- 12. KAINUA 2017 - 21st of April, Bologna Data digitization High zoom level = High detail Polygons of buildings Internal separations in buildings Floors Roads and rivers (infrastructure) Small local anthropic modifications Components of walls, monuments, roads, infrastructures
- 13. KAINUA 2017 - 21st of April, Bologna Data digitization The fourth dimension type research:time valid:start -525 valid:end -475 source ardb.info/research/Govi201 0-42eeaf884 type research:time valid:start -474 valid:end -450 source ardb.info/research/Govi201 0-42eeaf884 type research:time valid:start -449 valid:end -400 source ardb.info/research/Govi201 0-42eeaf884
- 14. KAINUA 2017 - 21st of April, Bologna Research Ontology The research is the tip of the iceberg Each research is a collection set of interpretations Each interpretation is a collection of physical elements and a set of shared attributes Each attribute defines a specific way of looking at the data The definition of Research Ontology implies Source quality definition Open Access enabling
- 15. KAINUA 2017 - 21st of April, Bologna The source problem: Source Reliability
- 16. KAINUA 2017 - 21st of April, Bologna Source Reliability 1 - Direct a Oral b Mnemonic 2 Survey 3 Archival 4 Bibliographical
- 17. KAINUA 2017 - 21st of April, Bologna Source Reliability 1 - Direct a Oral b Mnemonic 2 Survey a Direct drawing b Instrumental mapping 3 Archival 4 Bibliographical
- 18. KAINUA 2017 - 21st of April, Bologna Source Reliability 1 - Direct a Oral b Mnemonic 2 Survey a Direct drawing b Instrumental mapping 3 Archival a Catalogue b Digital archive 4 Bibliographical
- 19. KAINUA 2017 - 21st of April, Bologna Source Reliability 1 - Direct a Oral b Mnemonic 2 Survey a Direct drawing b Instrumental mapping 3 Archival a Catalogue b Digital archive 4 Bibliographical a Educational b Academic
- 20. KAINUA 2017 - 21st of April, Bologna Source Reliability 1 - Direct a Oral b Mnemonic 2 Survey a Direct drawing b Instrumental mapping 3 Archival a Catalogue b Digital archive 4 Bibliographical a Educational b Academic
- 21. KAINUA 2017 - 21st of April, Bologna The OHM Technology
- 22. KAINUA 2017 - 21st of April, Bologna The Platform Based on the OpenStreetMap technological stack Rails + PostGIS (+ LeafletJS) The OSM tools Osmosis JOSM ID Editor * Mapnik * Overpass API
- 23. KAINUA 2017 - 21st of April, Bologna Our additions to the stack Tiler * ID Editor customization * Mapnik customization TimeTravelToolbar ARDb.info (Archaeological Research Database) A point of view on the research ontology ASDb project
- 24. KAINUA 2017 - 21st of April, Bologna Our additions to the stack - Tiler Tiler enables easy digitization of paper maps It exposes the characteristics of a specific map (zoom levels, resolution) https://github.com/openhistorymap/tyler
- 25. KAINUA 2017 - 21st of April, Bologna Our additions to the stack - T3 TimeTravelToolbar Integrates with LeafletJS Already Angular2 ready Adds time-based features to the classic Tile Server URLs by adding a time suffix to the filename. /{z}/{y}/{-x}.png tile url /{z}/{y}/{-x}-{t}.png
- 26. KAINUA 2017 - 21st of April, Bologna Our additions to the stack - ARDb Another point of view on the OHM Research Ontology create an entrypoint and URI manager for the researches and track the research ids source of the operations in OHM Enables a better interpretation of research information Context History Relationships between research teams
- 27. KAINUA 2017 - 21st of April, Bologna What else to say...
- 28. KAINUA 2017 - 21st of April, Bologna What else to say... You are all invited to join the OHM EMPIRE Community! PAST
- 29. KAINUA 2017 - 21st of April, Bologna Thank you! Silvia Bernardoni - silvia.bernardoni@openhistorymap.org Raffaele Trojanis - r.trojanis@openhistorymap.org Marco Montanari - marco.montanari@openhistorymap.org