This document provides an ontological model for documenting finds processing and analysis. It defines key entities and relationships used to record information like finds grouping and phasing, assessments, treatments, and contextual relationships. The model allows linking finds records to other project resources and provides a structured format for notes on processes like finds dating and specialist assessments.
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Fédérer la recherche sur le patrimoine écrit du Moyen Âge et de la Renaissanc...Equipex Biblissima
Présentation de Biblissima par Anne-Marie Turcan-Verkerk lors du séminaire annuel du CERL 2016 « Manuscrits : innovation et coopération » (BnF, Paris, 20 octobre 2016).
Présentation par Pierre-Yves Buard lors de l'école d'été Biblissima « Autour de la bibliothèque du Mont Saint-Michel — éditer et cataloguer aujourd’hui » (Avranches, 29 août – 2 septembre 2016).
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Grandes errores cometidos a la hora de emprender
Decalogo de consejos para conseguir una Start-app
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Digital Curation Unit – IMIS, Athena Research Center
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Swedish National Data Service
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PIN, Italy
Sebastian Cuy
German Archaeological Institute
EAA 2016, Vilnius, Lithuania
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Following the ARIADNE Thread
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Web: unammobile.net
Tw: @unam_mobile
Linked Data Implementations—Who, What and Why?OCLC
Presented at the CNI Spring Membership Meeting in San Antonio, Texas 4 April 2016. OCLC Research conducted an International Linked Data Survey for Implementers in 2014 and 2015, receiving responses from a total of 90 institutions in 20 countries. In the 2015 survey, 112 projects or services that consumed or published linked data were described (compared to 76 in 2014). This presentation summarizes the 2015 survey results: 1) which institutions have implemented or are implementing linked data; 2) what linked data sources institutions are consuming, and why; 3) what institutions are publishing, and why; 4) barriers and advice from the implementers.
Apps, Experiencias de un emprendedor"
Apps, el mercado de la fiebre del oro
Grandes errores cometidos a la hora de emprender
Decalogo de consejos para conseguir una Start-app
Dimitris Gavrilis and Eleni Afiontzi
Digital Curation Unit – IMIS, Athena Research Center
Johan Fihn and Olof Olsson
Swedish National Data Service
Achille Felicetti and Franco Nicollucci
PIN, Italy
Sebastian Cuy
German Archaeological Institute
EAA 2016, Vilnius, Lithuania
Session: Open Access and Open Data in Archaeology -
Following the ARIADNE Thread
This presentation was given by Carl Stahmer of UC-Davis during the NISO Virtual Conference, BIBFRAME & Real World Applications of Linked Bibliographic Data, held on June 15, 2016
Introducción a Android: 10 cosas importantes que hay que entenderjezabelink
Estan son las diapositivas del taller de Android que se dio en la Universidad Autonoma de Baja California Sur por parte de UNAM MOBILE.
Web: unammobile.net
Tw: @unam_mobile
Tool Kit: Business Analysis product (artefact) checklistdesigner DATA
Methodology is a toolkit not a process – Choose wisely
Methodologies contains many tools and techniques, such as, process, data , use case and class modelling, sequence diagramming and state transition diagramming, prototyping and report templates.
Not all these tools have to be used for every project.
So choose wisely and create your own fast path routes for completing different types of projects by preparing your own Business Analysis Project Planning Map. Build on your experiences and fine tune your product each time you undertake a new assignment.
http://www.tdan.com/view-articles/6089
Primitives And Design Patterns for Top-Down SOA ImplementationsMichael zur Muehlen
Presentation given at the SOA Symposium 2009, Government and Industry Issues and Solutions. This presentation focuses on the development of a BPMN styleguide for the Department of Defense.
This paper was presented at the Computer Applications in Archaeology 2023 conference in Amsterdam. The slides present work undertaken by The Matrix project [AH/T002093/1] which has addressed some of the current problems caused by the lack of standardized approaches to analysis and digital archives of archaeological stratigraphic and phasing data.
The Matrix project (AHRC AH/T002093/1) investigated how digital data from archaeological excavations can be made more consistent and useful thereby more interesting and cost-effective to a range of users and audiences. It is working towards a shared plan and methods to get such data more consistently recorded, analysed, disseminated and archived in a way that is Findable, Accessible, Interoperable and Re-useable (FAIR).
The Matrix project had four key areas of activity:
1) Digital Standards
2) Characteristics of digital Heritage Data
3) Stratigraphy Standards
4) Research Tools
The Matrix: connecting and re-using digital records of archaeological investi...Keith.May
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The focus of digital archives and museums is switching from simply providing better access to digital archives, to how users in commercial units, curatorial organizations and academia, along with the wider public, can make best use of this growing body of digital information and data.
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This paper is based upon practical experiences of Conceptual modelling, using CIDOC CRM, of the single context recording system at English Heritage and mapping it to other 'single context' based systems. It also presents recent work on identifying conceptual commonalities that may exist in different archaeological recording methodologies, whether 'single context recording' or otherwise, along with practical challenges based on experiences of trying to integrate, or simply search across, data from different archaeological recording systems. In addition it introduces the work to date on developing http://www.heritagedata.org/ and suggests opportunities for sharing and aligning further archaeological vocabularies using SKOS and Linked Open Data technologies.
Vocabularies as Linked Data - OUDCE March2014Keith.May
Presentation given as part of OUDCE course in Oxford 04-03-2014 on "Digital Data and Archaeology: Management, Preservation and Publishing.
Acknowledgements to Ceri Binding @Ceribin for many of the slides.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
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https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
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Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Elevating Tactical DDD Patterns Through Object Calisthenics
Arch Ontological Modelling V4
1. PROJECT INITIATION
ProjectTeamMemberRole ProjectTeamMember ContextFindProductionEvent ContextFindMeasurementValue ProjectTeamMemberRole Timestamp
E73:
ProjectTeamMemberRole RecordDrawingNoteType SurveyDataset SurveyEvent
RecordNote
E55: Type E29: Actor E60: Number E55: Type E62: String
P14.1: in the role of P3.1: has type P3: has note P94:has created
E55: Type E55: Type E37: Information Object E7: Activity
P94: has created
FINDS DOCUMENTATION
E62: String Timestamp
(was created by)
Type used to structure notes Survey dataset E65: Creation Event
(was created by) Notes regarding record
eg ‘certainty’ Survey, including chemical,
compilation and dating process
geophysical, auger etc
EH_E0078 EH_E0077 EH_E0036 EH_E0035 EH_E0078 EH_E0091
EH_E0078 EH_E0080 EH_E0090 EH_E2007
Appendix A:
ProjectDesign ContextFindProductionEvent ContextFindProductionEvent ContextFindDatingEvent ContextFindMeasurementUnit Timestamp
Timestamp
RecordNoteType Record
E29: Design or Procedure E7:Activity E58: Measurement Unit E62: String
Ontological Model of
E62: String Spot dating achieved P90: has value P14.1: in the role of P79: beginning is qualified
The PD or UPD E55: Type E31: Document E65:Creation Event Timestamp
Timestamp through finds by
P14.1: in the role of P3.1: has type P16: used specific object
Type used to structure notes Record of find production date finds dating
(was used for)
eg ‘certainty’
EH_E0076 EH_E0037 EH_E0014 EH_E2005 EH_E0034 EH_E0091
EH_E0091
Centre for Archaeology
This is the link to Research ContextFindMeasurement ContextFindMeasurementEvent ProjectTeamMember ContextFindMeasurementEvent
objectives (EoP 98 etc ) through
RecordDrawingNote ProcessSurveyDatasetEvent RecordDrawingSheet
Type Timespan
E7: Activity
ProjectTeamMember
E54: Dimension E39: Actor
Information Domain (V9)
P16: used specific object P14: carried out by P67: refers to P1:is identified by P91: has unit P80: end is qualified by
E62: String E65:Creation Event E84: Information Carrier
ADMIS/RASMIS project code
P79: beginning is E55: Type E52: Time-span
(was used for) (performed) (is referred to by) (identifies) (is unit of)
Notes regarding record Processing survey data, The physical plan, be it paper
E39: Actor qualified by
completion including identification and based or digital
numbers.
interpretation of anomalies
EH_E0031 EH_E0033 EH_E0077 EH_E0032
EH_E0079 EH_E2008 EH_E0082
Research objective=E29 Design
EH_E0077
or Procedure
EHProject ContextFindProductionEvent ContextFindProductionEvent ContextFindProductionEvent ProjectTeamMemberRole Timestamp BulkFindItemRemovalEvent
CfAProjectTimespan
Location Timespan TimespanAppelation
E7: Activity E55: Type E2: Temporal Entity E80: Part Removal
E52: Time-span
P128: carries P4: has time-span Link to other project based P40: observed dimension P2: has type P14: carried out by P4: has time-span
A project as defined by EH
P3: has note P94: has created E53: Place E52: Time-span E49:Time Appelation Timestamp The act of taking a find from a
(is carried by) (in time span of) resources (was observed in) (is type of) (performed) (is time-span of)
(was created by) Spot dates bulk finds object
P14: carried out by
(performed)
EH_E0001 EH_E0095 EH_E0038 EH_E0039 EH_E0078 EH_E0091 CfA2011
EH_E0021
BULK FINDS
ContextFindMeasuementEvent BulkFindComponentCount
PROCESSING
AreaOfInvestigationDepiction
RecordDrawing Timestamp
E16: Measurement Event E60: Number
SURVEY RECORDING P80: end is qualified by P113: removed P112: diminished P57: has number of parts
E47: Spatial Coordinates
E36: Visual Item E62: String P7: witnessed P87: is identified by P7: took place at P4: has time-span P14.1: in the role of Measurements: length, width,
P67: refers to P80: end is qualified by (was removed by) (was diminished by)
A spatial entity
Interpretive plans and Timestamp (took place at) (identifies) (is time-span of) diameter, weight, etc
(is referred to by)
drawings
EH_E2020 EH_E0020
EH_E0019
EH_E0016 EH_E0091
AreaOfInvestigation
IdentifiedFeature ContextFindProductionEvent ProjectTeamMember ContextFindConditionState ContextFindConditionAssess ContextFindConditionAssess BulkFind BulkFindsAssessment ContextFindUseEventRecord
mentEventTimespan mentEventType NoteType
Allows us to talk about
E53: Place
E53: Place E12: Production Event E39: Actor E3: Condition State E19: Physical Object E13: Attribute Assignment
P7: witnessed how the find was Link to Conservation P140: assigned attribute to
The archaeological site as Link to geophysics
Identified anomalies and Some event must have E52: E55: Type Specialist finds assessments detailed assessment of pottery, E55:Type
(took place at) constructed, when and by (was attributed by)
defined in the PD, the specific
patterns produced the object and bulk finds assessments as per pottery record form Type used to structure notes
whom
area of investigation in the
by material eg ‘certainty’
accompanying description
EH_E0074 EH_E1002 EH_E0077 EH_E0029 EH_E0027 EH_E0028 EH_E0010 EH_E2021 EH_E0045
EH_E0003
ArchaeologicalSite ContextFindUseEventTime
GroupEventRecordNoteType GroupingPhasingProcedure IdentifiedFeatureDepiction DepictionEvent
span
P9: was intended use of
E27: Site
P89: falls within P58: has section definition Link to other project based P108: has produced P14: carried out by P35: has identified P4: has time-span P2: has type P39: measured
E55: Type E29: Design or Procedure E47: Spatial Coordinates E65: Creation Event P3.1:has type
P87: is identified by EH_P4: depicts The archaeological site as E52: Time-span
(contains) (definessection) resources (was produced by) (performed) (identifed by) (is time-span of) (is type of) (was measured by)
Type used to structure notes Grouping/phasing Drawing, including on-site drawing
(identifies) defined in other systems
eg ‘certainty’ methodology and detailed finds drawing
eg Avebury Henge
EH_E0002 EH_E0099
EH_E0069 EH_E0073 EH_E0075 EH_E2010
P4: has time-span
(is time-span of)
THE quot;SITEquot;
RecordDrawingSheet ContextStuff RecordPhotograph ContextFindConditionAssess ContextFindUseEvent ContextFindUseEventRecord
GroupingPhasingEvent
mentEvent Note
Assertions E84: Information Carrier E18: Physical Stuff E38: Image E7: Activity
P94: has created P138: represents P9: consists of P34: concerned P67: refers to P3:has note
E65: Creation Event
FINDS PROCESSING AND
relating to validity
P3.1: has type P15: was influenced by The physical plan, be it paper E14: Condition Assessment unctional or use aspect of E62:String
(was created by) (forms part of) (was assessed by) (is referred to by)
The process of grouping and of attributes assigned
(influenced) based or digital Assessments of conditions as finds, an activity in the past Notes regarding record
phasing eg date goes here in the
FINDS TREATMENT
per conservation compilation and dating process
SiteSubDivisionDepiction
record of the event, not EH_E0082 EH_E0008 EH_E0017 EH_E2012 EH_E1005 EH_E0044
EH_E2004 the event itself ie we know E47: Spatial Coordinates
the event happened at P67: refers to
A spatial entity
some exact time that we (is referred to by)
can only approximate and
GroupEventRecordNote RecordDrawing SiteSubDivision ContextFindTreatmentType ContextFindTreatmentProce ContextFindTreatmentLocation ContextFindUID
it is not the exact time but ProjectTeamMemberRole ContextFindUseEventRecord
EH_E0088 dure
our approximation we
E62: String E73: Information Object E53: Place E55: Type E53: Place E42: Object Identifier
P3: has note P94: has created P128: carries P67: refers to P87: is identified by
wish to express E55: Type E31: Document
Notes regarding the grouping Plans and sections; Site sub-divisions General type of treatment E29: Design or Procedure Either on-site or off-site Small find number P94:has created
(was created by) (is carried by) (is referred to by) (identifies)
certainty about Value = “finds specialist” Record of assessment of use
and phasing ie record drawings undertaken Reference to specific (was created by)
methodology
SiteSubDivisionAppelation
EH_E0068 EH_E0016 EH_E0004 EH_E0042 EH_E0041 EH_E0040 EH_E0043
EH_E0078 EH_E0015
E48: Place Name
DRAWN RECORDS eg “trench1”
GroupStuff
ContextNoteType
EH_E0087
FINDS ASSESSMENT AND
P53: has former or
Context as place: Notes on context and P32: used general
E18: Physical Stuff
P67: refers to current location P67: refers to E55: Type
P89: falls within physical relationships fall other attributes not technique P33: used specific P7: took place at P37: assigned
ANALYSIS
(is referred to by) (is former or current (is referred to by) P14.1: in the role of
(contains) out easily needing further structure (was technique of) technique (witnessed) (was assigned by)
location of)
(was used by)
EH_E0006
EH_E0047
GROUPING AND