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Reconstructing the Chaine operatoire through Semantically Linked Open Data
 

Reconstructing the Chaine operatoire through Semantically Linked Open Data

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Slides from my talk at University of Southampton

Slides from my talk at University of Southampton

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    Reconstructing the Chaine operatoire through Semantically Linked Open Data Reconstructing the Chaine operatoire through Semantically Linked Open Data Presentation Transcript

    • University of Southampton Reconstructing the Chaîne opératoire through Semantically Linked Open Data Monika Solanki Department of Computer Science University of Leicester m.solanki@mcs.le.ac.uk http://es.wikipedia.org/wiki/Archivo:Chaîne_opératoire.pngMonika Solanki Reconstructing the Chaîne opératoire through Semantically Linked Open Data
    • Talk outline University of SouthamptonOutline Tracing Networks From RDMS to Ontologies Semantic Explorer for Archaeology Conclusions and Future work Monika Solanki Reconstructing the Chaîne opératoire through Semantically Linked Open Data
    • Tracing Networks University of SouthamptonTracing Networks investigates the network of contacts across and beyond the Mediterranean region, between the late bronze age and the late classical period (c.1500-c.200 BCE) by interrogating material objects seven archaeological case studies fully integrated with computer science projects programme sets technological networks in their greater social, economic and political contexts to expand our understanding of wider cultural developments these networks from the past can help us devise new and more effective ways of transmitting knowledge and information in our digital world http://www.tracingnetworks.org/ Monika Solanki Reconstructing the Chaîne opératoire through Semantically Linked Open Data
    • Tracing Networks University of SouthamptonTracing Networks Archaeologists study a wide range of material objects. By tracking them at every stage of their production, distribution, use, and consumption across a large geographical region, over a long time period, they can trace the links between the people who made, used, and taught others to make them. The Chaîne opératoire Cross-craft interaction Monika Solanki Reconstructing the Chaîne opératoire through Semantically Linked Open Data
    • Tracing Networks University of SouthamptonTracing Networks Archaeologists study a wide range of material objects. By tracking them at every stage of their production, distribution, use, and consumption across a large geographical region, over a long time period, they can trace the links between the people who made, used, and taught others to make them. The Chaîne opératoire http://www3.hf.uio.no/sarc/iakh/lithic/INTopchain/INTopchainpaper.html Monika Solanki Reconstructing the Chaîne opératoire through Semantically Linked Open Data
    • Tracing Networks University of SouthamptonTracing Networks Archaeologists study a wide range of material objects. By tracking them at every stage of their production, distribution, use, and consumption across a large geographical region, over a long time period, they can trace the links between the people who made, used, and taught others to make them. Pertinent Questions How does technical knowledge move from one person/group/society to another? How do people choose which particular knowledge to use from the repertoire available? In what kinds of contexts does innovation appear? Monika Solanki Reconstructing the Chaîne opératoire through Semantically Linked Open Data
    • Tracing Networks University of SouthamptonTracing Networks Monika Solanki Reconstructing the Chaîne opératoire through Semantically Linked Open Data
    • Tracing Networks University of SouthamptonTracing Networks and Semantic web Archaeology by its very nature focuses on establishing linkages between past events, places, people and things. The Semantic Web infrastructure therefore serves as a potential solution because of its emphasis on capturing relationships and should be exploited to provide archaeological data management solutions. Little work has been done so far in the Semantic Web community that can motivate archaeologists to adopt their technologies to manage and analysis data. Interesting results have been obtained in the domain of cultural heritage and museums. Monika Solanki Reconstructing the Chaîne opératoire through Semantically Linked Open Data
    • Tracing Networks University of SouthamptonThe TN-LOD cloud Tracing Networks through Linked Open Data Monika Solanki Reconstructing the Chaîne opératoire through Semantically Linked Open Data
    • Tracing Networks University of SouthamptonTracing Networks: Vocabularies CIDOC-CRM It provides definitions and a formal structure for describing the implicit and explicit concepts and relationships used in cultural heritage documentation. An ontology of 86 classes and 137 properties for culture and more. International standard since 2006 - ISO 21127:2006. The ontology has been encoded in OWL2.0, OWLDL and RDFS. http://cidoc.ics.forth.gr/index.html Monika Solanki Reconstructing the Chaîne opératoire through Semantically Linked Open Data
    • Tracing Networks University of SouthamptonTracing Networks: Vocabularies CIDOC-CRM It provides definitions and a formal structure for describing the implicit and explicit concepts and relationships used in cultural heritage documentation. An ontology of 86 classes and 137 properties for culture and more. International standard since 2006 - ISO 21127:2006. The ontology has been encoded in OWL2.0, OWLDL and RDFS. Tracing Network vocabularies extend CIDOC-CRM http://cidoc.ics.forth.gr/index.html Monika Solanki Reconstructing the Chaîne opératoire through Semantically Linked Open Data
    • Generating linked datasets University of SouthamptonFrom RDBMs to Ontological datasets Generating datasets for the TN-LOD Monika Solanki Reconstructing the Chaîne opératoire through Semantically Linked Open Data
    • Generating linked datasets University of SouthamptonMotivation Conventional mapping frameworks provide scripting languages to facilitate the mapping. apply simplistic mapping rules. Monika Solanki Reconstructing the Chaîne opératoire through Semantically Linked Open Data
    • Generating linked datasets University of SouthamptonMotivation Realistic scenarios: the association between columns and properties is far more complex than a simple one-to-one correspondence. domain specific schemas to be used for mapping have been extended from standard vocabularies or those used elsewhere. Loomweights: the ontological instances conform to a domain specific schema, e.g., CIDOC-CRM. several ontology schemas are used and the data needs to be suitably mapped to more than one property. Monika Solanki Reconstructing the Chaîne opératoire through Semantically Linked Open Data
    • Generating linked datasets University of SouthamptonThe Loomweights Dataset The column diameter in the RDB table cannot be mapped as a datatype property. To specify a relationship between diameter and the concept Loomweight, create intermediate instances of CIDOC-CRM concepts. Instances to be contextually related to each other to ensure loomweights are assigned correct diameter values. Monika Solanki Reconstructing the Chaîne opératoire through Semantically Linked Open Data
    • Generating linked datasets University of SouthamptonTransformation Framework ORM Reverse Engineering. ECA Rule-based Transformation. Ontology Instance Generation. Monika Solanki Reconstructing the Chaîne opératoire through Semantically Linked Open Data
    • SEA: Semantic Explorer for Archaeology University of SouthamptonSEA:Semantic Explorer for Archaeology Motivation The most time-consuming part of an archaeological investigation is the post-excavation analysis. There is therefore a mileage in combining the task of archiving, querying and analysing the data within a single framework. Archaeological data is fragmentary. Inferencing capabilities of reasoners can be used to extract implicit knowledge and contribute to their existing knowledge bases to complete the fragments. Monika Solanki Reconstructing the Chaîne opératoire through Semantically Linked Open Data
    • SEA: Semantic Explorer for Archaeology University of SouthamptonSEA:Semantic Explorer for Archaeology A web application. RESTful APIs for programmatically accessing the TN-LOD cloud. Interactive and global querying of linked datasets. Data visualisations using user defined perspectives. Statistical analysis using bespoke criteria provided by archaeologists at runtime. Monika Solanki Reconstructing the Chaîne opératoire through Semantically Linked Open Data
    • SEA: Semantic Explorer for Archaeology University of SouthamptonCase study: Human representations The scope of the project includes examining and analysing human representations on a range of object types and in a range of materials, such as bronze and pottery. The project utilises details such as gestures and postures, dress and associated objects as keys to understanding how identity and new understandings of society are communicated. Raw data is collected through examining objects from published literature or in museum collections. Monika Solanki Reconstructing the Chaîne opératoire through Semantically Linked Open Data
    • SEA: Semantic Explorer for Archaeology University of SouthamptonHuman representations: Informal queries Example 1: “Find images of riders who appear on objects found in Austria where the altitude of the excavation site is 500 meters above sea level. I would also like to know the statistical distribution of the material and the technologies used for the production of these objects. I would like to visualise the results as a pie chart and see the distribution of the sites where these objects were found on Google Earth”. Monika Solanki Reconstructing the Chaîne opératoire through Semantically Linked Open Data
    • SEA: Semantic Explorer for Archaeology University of SouthamptonHuman representations: Informal queries Example 2: “Find all objects which have images of individuals in the orant gesture who are wearing a triangular dress, earrings and who carry a vessel on their head, where the vessel is supported by their left hand. I would also like to know the statistical distribution of the gender of these individuals according to the country in which the objects were found. I would like to visualise the results as a tree map and see the distribution of the sites where these objects were found on Google Map”. Monika Solanki Reconstructing the Chaîne opératoire through Semantically Linked Open Data
    • SEA: Semantic Explorer for Archaeology University of SouthamptonSEA: Architecture Monika Solanki Reconstructing the Chaîne opératoire through Semantically Linked Open Data
    • SEA: Semantic Explorer for Archaeology University of SouthamptonSEA: Query Component Three parts: query builder, a SPARQL/SQWRL endpoint and an inference engine. Aggregates the input data as RDF triples. Formalises the query in SPARQL, includes any constraints. Queries can be specified intuitively. Utilises the WordNet dictionary. “Natural Language Query Summariser”. Records user preferences: statistical analysis, visualisation Monika Solanki Reconstructing the Chaîne opératoire through Semantically Linked Open Data
    • SEA: Semantic Explorer for Archaeology University of SouthamptonSEA: Visualiser Component Three visualisation modules. Queries generated by the user Convert the SPARQL triple patterns to GraphML The visualiser is interactive and allows a user to expand/collapse nodes in the graph. Search for a specific node in the graph. Query Results: linked data, markers on the Google Earth/Google maps. Statistical analysis: commonly used statistical analysis models. Monika Solanki Reconstructing the Chaîne opératoire through Semantically Linked Open Data
    • SEA: Semantic Explorer for Archaeology University of SouthamptonHuman Representation “Find images of riders who appear on objects found in Austria where the altitude of the excavation site is 500 meters above sea level. I would also like to know the statistical distribution of the material and the technologies used for the production of these objects. I would like to visualise the results as a pie chart and see the distribution of the sites where these objects were found on Google Earth”. Part 1 Find images of riders who appear on objects found in Austria where the altitude of the excavation site is 500 meters above sea level. Part 2 I would also like to know the statistical distribution of the material and the technologies used for the production of these objects. Monika Solanki Reconstructing the Chaîne opératoire through Semantically Linked Open Data
    • SEA: Semantic Explorer for Archaeology University of SouthamptonBuilding the query using SEA Monika Solanki Reconstructing the Chaîne opératoire through Semantically Linked Open Data
    • Sub query Part 1 PREFIX tnh:<http://www.tracingnetworks.ac.uk/ ontology/human_representation.owl#> PREFIX rdf:<http://www.w3.org/1999/02/22-rdf-syntax-ns#> SELECT ?individual ?object ?site ?country ?abbr ?type ?tech ?image ?altitude ?material WHERE{ ?individual rdf:type tnh:Individual. ?individual tnh:appearOn ?object. ?object tnh:isFoundAtSite ?site. ?site tnh:isLocatedInCountry ?country. ?country tnh:hasCountryAbbr ?abbr. ?object tnh:has1stObjectType thn:rider. ?object tnh:hasImageLink ?image. ?site tnh:hasAltitude ?altitude. FILTER (?altitude>=500). FILTER (?abbr="AT"). } LIMIT 3000
    • SEA: Semantic Explorer for Archaeology University of SouthamptonVisualising the query Monika Solanki Reconstructing the Chaîne opératoire through Semantically Linked Open Data
    • SEA: Semantic Explorer for Archaeology University of SouthamptonVisualising the query results: Google earth Monika Solanki Reconstructing the Chaîne opératoire through Semantically Linked Open Data
    • SEA: Semantic Explorer for Archaeology University of SouthamptonVisualising the query results Monika Solanki Reconstructing the Chaîne opératoire through Semantically Linked Open Data
    • Related work University of SouthamptonClosely related work D2RQ: Berlin Virtuoso: Open Link Software STAR: Glamorgan, English Heritage STELLAR: Glamorgan, English Heritage TRANSLATION: Southampton Monika Solanki Reconstructing the Chaîne opératoire through Semantically Linked Open Data
    • Conclusions University of SouthamptonConclusions Little work has been done so far in the Semantic web community that can motivate archaeologists to adopt their technologies to manage and analysis data. An exploratory attempt to reconstruct the Chaîne opératoire using the principles of linked open data. A transformation framework for migrating large volumes of archaeological data stored in RDBs to ontology based data sets on the Semantic Web. SEA: A unified framework that allows archaeologists with basic knowledge of Semantic Web technologies to “explore” their datasets through interactive querying, visualisation and analysis. Monika Solanki Reconstructing the Chaîne opératoire through Semantically Linked Open Data
    • Future work University of SouthamptonFuture work Implement a user-friendly graphical modeling environment for the language in GMF (Graphical Modeling Framework) to allow easy creation and editing of transformation rules. Extend the query interface so that it allows archaeologists to specify ranking heuristics for the search results. Extend the visualisation interface by providing a faceted browser that allows the archaeologist to visualise query results along several facets. Augment the support provided for inference making. Keeping a close eye on the linked data cloud for any relevant archaeological datasets that may eventually be published so that we can link to it. Monika Solanki Reconstructing the Chaîne opératoire through Semantically Linked Open Data
    • Acknowledgements University of SouthamptonAcknowledgements Computer Science Prof Jose Fiadeiro Yi Hong Archaeology Prof Lin Foxhall Katharina Rebay-Salisbury Monika Solanki Reconstructing the Chaîne opératoire through Semantically Linked Open Data
    • University of Southampton Many Thanks!!!Monika Solanki Reconstructing the Chaîne opératoire through Semantically Linked Open Data