We consider a family to be a collection of people affiliated by some connections, such as common ancestors or a common residence. The Simpson family includes a man named Homer and a woman named Marge, the married parents of three sibling children, a boy named Bart and two girls, Lisa and Maggie. This magical family speaks many languages, but most often uses the language of the local television station. In the English-speaking Simpson family, the boy describes his parents as his father and mother and his two siblings as his sisters. In the Spanish speaking Simpson family he refers to his parents as su padre y su madre and his sisters are las hermanas. In the Chinese Simpson family the sisters refer to each other according to their relative ages; Lisa, the elder, as jiě jie and, Maggie, the younger, as mèi mei.
Kinship relationships are ubiquitous and widely studied, and the names and significance of kinship relations like “is parent of” or “is sibling of” are familiar ones, making kinship a good starting point for understanding relationships in organizing systems. An organizing system can make use of existing relationships among resources, or it can create relationships by applying organizing principles to arrange the resources. Organizing systems for digital resources or digital description resources are the most likely to rely on explicit relationships to enable interactions with the resources.
In a classic book called Data and Reality, William Kent defines a relationship as an association among several things, with that association having a particular significance. “The things being associated,” the components of the relationship, are people in kinship relationships but more generally can be any type of resource (Resources in Organizing Systems), when we relate one resource instance to another. When we describe a resource (Resource Description and Metadata), the components of the relationship are a primary resource and a description resource. If we specify sets of relationships that go together, we are using these common relationships to define resource types or classes, which more generally are called categories (Categorization: Describing Resource Classes and Types). We can then use resource types as one or both the components of a relationship when we want to further describe the resource type or to assert how two resource types go together to facilitate our interactions with them.
We begin with a more complete definition of relationship and introduce five perspectives for analyzing them: semantic, lexical, structural, architectural, and implementation. We then discuss each perspective, introducing the issues that each emphasizes, and the specialized vocabulary needed to describe and analyze relationships from that point of view. We apply these perspectives and vocabulary to analyze the most important types of relationships in organizing systems.
The Simpsons TV show began in 1989 and is now the longest running scripted TV show ever. The official website is
www.thesimpsons.com. The show is dubbed into French, Italian and Spanish for viewers in Quebec, France, Italy, Latin America and Spain. The Simpson’s Movie has been dubbed into Mandarin Chinese and Cantonese. For more information about Mandarin kinship terms see
http://mandarin.about.com/od/vocabularylists/tp/family.htm. (Yes, we know that Bart actually calls his father by his first name.)
Kinship can be studied from both anthropological and biological perspectives, which differ to the degree to which they emphasize social relationships and genetic ones. Kinship has been systematically studied since the nineteenth century: (Morgan 1871/ 1997) developed a system of kinship classification still taught today. A detailed interactive web tutorial developed by Brian Schwimer can be found at
Kent’s Data and Reality was first published in 1978 with a second edition in 1998. Kent was a well-known and well-liked researcher in data modeling at IBM, and his book became a cult classic. In 2012, seven years after Kent’s death, a third edition (Kent and Hoberman 2012) came out, slightly revised and annotated but containing essentially the same content as the book from 34 years earlier because its key issues about data modeling are timeless.