CieLODrive

A linked open data project



The Domain

The Cielo Drive murders were a series of brutal killings that occurred in Los Angeles, California in August 1969. The murders were carried out by members of the Manson Family cult, under instruction of Charles Manson himself. The crimes shocked the nation and Manson and several of his followers were eventually convicted and sentenced to life imprisonment. The victims were actress Sharon Tate, who was eight months pregnant at the time, and four other people who were at her home: the house was formerly occupied by music producer Terry Melcher, who Manson believed had promised him a recording contract but had failed to deliver.

Manson believed that the murders would incite a race war, which he called "Helter Skelter," and that he and his followers would emerge as the rulers of a new world order. However, the motive for the Cielo Drive murders was ultimately tied to Manson's desire for power and control over his followers, as well as his twisted belief in apocalyptic racial warfare.

The aim of the CieLODrive project is to use the tools of Linked Open Data (LOD) to explore the knowledge organization and representation of this well-known crime event, focusing on the way it was perceived and interpreted by different media platforms. In order to accomplish this, we have chosen eleven items connected to the domain that could help us represent the evolution of this case.

The selected objects all refer to the main event of our study, some relate to the figure of Charles Manson, others to the trial of the case in the Californian state court, and still others analyse the recent transposition of the events in the new media.




The Items

As stated above, eleven items related to the murder case have been carefully selected in order to show how meaningful the event was for the general public.


Book
book
TV Episode
...
Transcription
...
Trial T. Photo
...

Song
...
Movie
...
NYT Article
...
Archival Photo
...

Video
...
NY Article
...
Drawing
...




Knowledge Organisation


Conceptual Map


The first step in the modeling process is to explain the event through a conceptual map: this map needs to represent explicitly the data extracted from the items and their relationships. We placed the crime event at the center of our graph, using it as a starting point for the study of the domain. We then connected the items from our collection to the Cielo Drive murders and to the real metadata present on the objects cultural organizations records, highlighting the most important elements and concepts.
For the selection of the most important metadata related to each item, we tried to select the information that answered the main questions of: who, where, when, what.

Furthermore, to allow a better description of the domain, we have included in the model an entity representing the figure of Charles Manson and an entity for the event of the court trial.


Open the image of the graph

conceptual map

E/R Model


The following step is to translate the conceptual map into an entity-relationship model by abstracting from particular categories to more universal ones. The goal is to graphically represent our domain employing a more general perspective.


Open the image of the graph

conceptual map





Metadata Analysis and Alignment


Metadata Analysis


The metadata analysis is carried out by identifying the metadata standards provided by the institutions of each of our objects. In some cases we were not able to directly access or retrieve the metadata standards, so we adopted the ones that could best describe the features of our items. The aforementioned standards are listed as follows:

  1. PBCore is a cataloging standard for the description of audiovisual content, a data sharing tool, and much more. Since its development in the early 2000s, dozens of organizations have been using PBCore's comprehensive and flexible features for their archiving needs.

  2. DublinCore is an organization supporting innovation in metadata design and best practices across the metadata ecology.

  3. MARC21 is designed to be a carrier for bibliographic information about printed and manuscript textual materials, computer files, maps, music, continuing resources, visual materials, and mixed materials.

  4. MMD XML schema is an XML based document format to represent music metadata, easy to read, powerful and extensible.

  5. ICA RIC-O (Records in Contexts-Ontology) is an OWL ontology for describing archival record resources. As the second part of Records in Contexts standard, it is a formal representation of Records in Contexts Conceptual Model (RiC-CM).

  6. IPTC (Photo Metadata Standard) structures and defines metadata properties that allow users to add precise and reliable data about images.

  7. Schema.org ontology is based on RDFa, a markup language for embedding structured data in HTML documents, and it can also be expressed in other RDF serialization formats such as JSON-LD, Turtle, and RDF/XML.

  8. The International Standard Bibliographic Description (ISBD) is the standard that determines the data elements to be recorded or transcribed in a specific sequence as the basis of the description of the resource being cataloged.


Index Item Title Provider Provider Metadata Standard Chosen Metadata Standard
1 Book "Helter Skelter : the true
story of Manson murders"
ISBD ISBD ISBD
2 TV Episode "Charles(Manson) in charge" IMDb / schema.org
3 Trial Transcription "Tate - La Bianca
Trial Transcription"
CieloDrive.org / MARC21
4 Photo "Tate Trial Transcripts" Calisphere.org / Dublin Core
5 Song "Helter Skelter" MusicBrainz MusicBrainz Music Brainz
6 Movie "Once Upon a Time in Hollywood" IMDb / PBCore
7 Article "Actress is Among 5 Slain
at Home in Beverly Hills"
nytimes.com IPTC NewsCodes MARC21
8 Photo Coroners with Sharon Tate's body Getty Images / IPTC standard
9 Video Charles Manson appears in
court for a preliminary hearing
AP Newsroom AP Ontology ICA-RIC-O
10 Article "The sinister influence of
Charles Manson"
The New Yorker / MARC21
11 Drawing Charles Manson on the witness stand Library of Congress LOC Dublin Core

Metadata Alignment


After completing the metadata analysis, we moved to the alignment which consists of choosing the most appropriate labels (according to the metadata standards) to express the properties of the chosen items, based on the predicates used in the conceptual map and E/R model.

It's necessary to specify that if the provided/chosen standard lacked a property, we employed a property from a more general standard to produce the alignment.



Alignment:







Theoretical Model


With the theoretical model we were able to add a new fundamental level to our project, the one of data interpretation: we produced a model expressed in natural language which contains additional informations regarding the domain compared to the previous ones. We conducted some research to understand how to implement the model in a consistent way in order to offer a broader view of the entities surrounding the main event. New relationships and links include:

  • Specifying the names of the victims and of the perpetrators.
  • Contextualizing the event in space and time by presenting another murder case that happened in the same state during the same time-span.
  • Adding more informations to the items that weren't specified in the conceptual map.
  • Creating new links between items and entities based on the additional informations provided.


Open the image of the graph

conceptual map

E/R Model Enhanced


This theoretical model allowed us to enhance the previous version of the E/R model as shown below.


Open the image of the graph

conceptual map





Conceptual Model


Having taken these steps, we moved from the enhanced version of the E/R model to the formal representation, namely the ontological approach. We created a conceptual model by employing existing schemas and vocabularies to formally describe our scenario in the most coherent way. The main ontologies used for this step are:


  1. DublinCore is an organization supporting innovation in metadata design and best practices across the metadata ecology.

  2. FaBiO is an ontology for describing entities that are published or potentially publishable (e.g., journal articles, conference papers, books), and that contain or are referred to by bibliographic references.

  3. Schema ontology is based on RDFa, a markup language for embedding structured data in HTML documents, and it can also be expressed in other RDF serialization formats such as JSON-LD, Turtle, and RDF/XML.

  4. FOAF is an ontology for describing people and their relationships to other people and things. It could be used to describe the people in your domain and their relationships to events, articles, and other entities.

  5. The Music Ontology provides a model for publishing structured music-related data on the Semantic Web.

  6. IPTC Photo Metadata provides data about photographs and the values can be processed by software.

  7. The Publishing Requirements for Industry Standard Metadata (PRISM) is a specification that defines a set of XML metadata vocabularies for syndicating, aggregating, post-processing and multi-purposing content.

  8. BIBO (Bibliographic Ontology): BIBO is an ontology for describing bibliographic items such as books, articles, and other publications. It includes properties for describing titles, authors, publishers, and other information related to bibliographic items.

  9. ORG is a core ontology for organizational structures, aimed at supporting linked data publishing of organizational information across a number of domains. It is designed to allow domain-specific extensions to add classification of organizations and roles, as well as extensions to support neighboring information such as organizational activities.

  10. ICA RIC-O (Records in Contexts-Ontology) is an OWL ontology for describing archival record resources. As the second part of Records in Contexts standard, it is a formal representation of Records in Contexts Conceptual Model (RiC-CM).

  11. RDF Schema provides a data-modelling vocabulary for RDF data. RDF Schema is an extension of the basic RDF vocabulary.

  12. CIDOC-CRM (CIDOC Conceptual Reference Model) is an ontology for cultural heritage information, developed by the International Committee for Documentation of the International Council of Museums (ICOM-CIDOC). It provides a framework for describing and exchanging information about cultural heritage objects and their relationships.


Open the image of the graph

conceptual map

Graffoo


Open the image of the graph

conceptual map





Knowledge Representation


CSV production


Once the modeling activity has been completed, we come back to the items in order to describe them on the basis of the conceptual model designed. Each row of the following tables represent a statement about each item, while the columns represent the subject, predicate and object of each statement. Both the subjects and the objects are written in natural language, while the predicates are expressed through the ontologies listed in the previous step.







RDF Production


The following step consists of writing the statements in RDF using the preferred serialization (in our case we used Turtle because of its readability). Before writing the statements, we made a list of all the prefixes we were going to use and we created our set of URIs that were helpful to identify the main entities of the domain. In addition to that, using owl:sameas we were able to link some elements of the project the authority records (such as VIAF and Geonames).

We create URIs for items and entities.

Items:

  • http://purl.org/cieLODrive/article/sinister_influence_article
  • http://purl.org/cieLODrive/newspaper_article/among_5_slain_article
  • http://purl.org/cieLODrive/movie/OUATIH_movie
  • http://purl.org/cieLODrive/song/Helter_Skelter_song
  • http://purl.org/cieLODrive/image/coroners_with_body_image
  • http://purl.org/cieLODrive/document/trial_transcription_A253156
  • http://purl.org/cieLODrive/tv_episode/Cult-Charles_(Manson)_in_Charge
  • http://purl.org/cieLODrive/drawing/Charles_Manson_on_the_witness_stand
  • http://purl.org/cieLODrive/document/trial_transcription_photo
  • http://purl.org/cieLODrive/book/The_true_story_of_Manson_murders
  • http://purl.org/cieLODrive/archival_video/Manson_appears_in_court

Entities:

  • http://purl.org/cieLODrive/event/CieloDrive_murders
  • http://purl.org/cieLODrive/event/Trial_A253156
  • http://purl.org/cieLODrive/event/Zodiac-case
  • http://purl.org/cieLODrive/place/California
  • http://purl.org/cieLODrive/place/BeverlyHills-Cielo-Drive
  • http://purl.org/cieLODrive/date/1969
  • http://purl.org/cieLODrive/person/CharlesManson
  • http://purl.org/cieLODrive/magazine/NEWYORKER




RDF Visualization


conceptual map


Group members


Erica Andreose
avatar2

erica.andreose @ studio.unibo.it

Gaia Ortona
avatar2

gaia.ortona @ studio.unibo.it

Francesco Alaimo
avatar2

francesco.alaimo @ studio.unibo.it

Alka Rana
avatar2
alka.rana @ studio.unibo.it






The project has been realized by Erica Andreose, Gaia Ortona, Francesco Alaimo, Alka Rana, for the course of Knowledge Organization and Cultural Heritage in DHDK Master Degree (UNIBO).

Licenza Creative Commons

This work is distributed with the license Creative Commons Attribuzione - Non commerciale - Non opere derivate 3.0 Unported.

© Copyright 2023 Erica Andreose, Gaia Ortona, Francesco Alaimo, Alka Rana - KOCH - DHDK - Alma Mater Studiorum Bologna