Digital Humanities Abstracts

“Texts into Databases: The Evolving Field of New-Style Prosopography”
John Bradley King's College London john.bradley@kcl.ac.uk Harold Short King's College London harold.short@kcl.ac.uk

The Centre for Computing in the Humanities at King’s College London is involved in three broadly Prosopographical projects: the Prosopography of the Byzantine Empire (PBE) (recently renamed Prosopography of the Byzantine World—PBW), the Prosopography of Anglo-Saxon England (PASE), and the Clergy of the Church of England Database (CCE). (All are funded by the UK’s Arts and Humanities Research Board.) The goals of these three projects at King’s are ambitious. PBE’s goal is “to record in a computerised relational database all surviving information about every individual mentioned in Byzantine sources during the period from 641 to 1261, and every individual mentioned in non-Byzantine sources during the same period who is ‘relevant’ (on a generous interpretation) to Byzantine affairs.” (from website, see references). PASE’s aim is “to provide a comprehensive biographical register of recorded inhabitants of Anglo-Saxon England (c. 450-1066).” (from website). CCE intends to create a “database of clergymen of the Church of England between 1540 and 1835.” (from website). The sources of information for all three projects are surviving manuscript records of many kinds. The central computing tool that all three projects employ is the relational database. Obviously, there is a significant issue involved in taking the textual source material, often presented discursively, and presenting it in the structured form that a database requires. Central, then, to the design of the database, and to the continuing process of putting data into it, is ensuring that the scholarly interpretation essential to this transformation is properly accommodated. In traditional Prosopography (see, for example, the well-known Prosopography of the Late Roman Empire, or the more recent Prosopographie der mittelbyzantinischen Zeit—PmbZ(Lille et al 1998-2002)), the central organising principle is the person. The information about the person is formed into an article by the scholar, and the articles themselves are organised by the person’s name. There is often some degree of more structured information attached (in PmbZ, for example, there is, among other lists, a formal list of sources in which information about the person could be gleaned). However, the primary source of information for the user is the article. The article is presented as a narrative in which we find a complex blending of quotation from sources and scholarly interpretation. Some of the assertions are made without further justification, in some cases an argument is provided to support why an assertion has been made, in some cases an issue is left unresolved and only alternatives are outlined. The scholar's task is to take the evidence provided by the sources s/he has read and to represent in the article the shades of certainty about any of them. All three of our Prosopographical projects take a radically different approach.° The final publication will not be a set of volumes containing articles, but an online database. Furthermore, all three projects agree that there will be none or very few articles about persons in their database, and they will be written after the data collection process is complete, rather than being central to it. Instead, the evidence data will be recorded as a series of factoids—assertions made by the project team that a source “S” at location “L” states something (”F”) about person “P”. Factoid was first applied to this kind of information by Dion Smythe and Gorden Gallacher, and is not a statement of fact about a person; it is an assertion that a source says something about him/her. In Figure 1 you can see some sample output from the PBE database, showing factoids derived from the source Skylitzes Continuatus; for Emperor Alexios I Komnenos (identified in the DB as Alexios 001) in 1078. As the illustration suggests, there are several different kinds of factoids provided. In PBE, factoid data is collected for things such as activities or events in which the person took part; physical, spiritual or physiological descriptions applied to them; dignities or offices they held; ethnic group to which they belonged; kinship relationships with other people; locations with which they were associated; occupations they took up; possessions they owned; and religion they professed.
Figure 1. Figure 1: A Factoid List for Alexios I Komnenos (PBE)
Factoids are modeled as entities in the prosopographical database, and each factoid type contains both an explicit and implicit structure. The explicit structure can be relatively complex. Figure 2 shows the data capture screen displaying one of PASE's event factoids—the event being the tonsoring of Guthlac by Aelfthryth (as recorded in the Vita Sancti Guthlaci). Not only is there a description field that contains information about the act itself (here only the beginning of the full text recorded in the field is visible), but the event is:
  • categorized in the Term field,
  • attached to a place (the place described using the word found in the original text, the type of place it is and its modern day location), and
  • linked to the two people involved, one identified as the recipient and the other as the agent.
Furthermore,
  • the textual source for the event, and location in the text where the act is recorded is entered in the database, and
  • there is space for recording a scholarly date recording when the event is thought to have occurred, and space to record whatever dating information is given in the source (only partially visible in this figure).
Finally, there is a place in the “Notes” and “Problems” field where the researcher can record in free text some commentary on the factoid that s/he considers important but does not fit the structured fields associated with the factoid itself.
Figure 2. Figure 2: An Event Factoid in PASE
There are, in addition, elements of implicit structure that must be recorded in the textual elements—a reference to another person in the database in the description of an event would be an example of this. Textual fields in our projects are, therefore, often structured as mini-XML documents, with XML being used to handle the structure that they contain and making it available for further machine handling. A relational database is most useful when the data it contains is highly structured. The capability of the relational model is often underestimated in scholarly circles, and both Greenstein (Greenstein 1994), and Townsend et al (in the AHDS Guides to Good Practice: Digitising History) begin their discussion of databases by acknowledging that a single table in the relational database as often too limited for large scale historical use (it is described as the “matrix straitjacket” in Townsend). Greenstein, however, recognises that the relational aspect of the relational model—which allows material from more than one table to be linked into a single logical entity —allows for richer collections of information to be formed. Once an entry (say, for the Person) in a table is changed from being a text string containing the person’s name to a link to a row in another “person information” table it is possible to record a great deal of richer information about that person. Thus, PBE, PASE and CCE databases contain not only structured data in the form of factoids, but they also contain complex structures spread over more than one table each that represent other important “objects” in the database related to the factoids such as persons, geographic locations and possessions. The challenges associated with our Prosopographical databases are many. First, there is a constant struggle to be sure that, for each field one enters, one is clear about to what extent the field represents simply what is in the source, and to what extent it is actually represents a scholarly interpretation of that source. Even the “original source” fields holds text out of context, making it a matter of scholarly decision about exactly what fragment should be included.° Furthermore, for all three projects data is collected on a source-by-source basis by more than one researcher. The issue of consistency between researchers is constantly on our minds. Consistency issues are dealt with during the editorial phase of the project, where editors will use tools to assert, for example, that a person A in one source is the same person as person B in another. We expect to have more to say about these issues during our presentation at the conference. An article in a traditional prosopography provides a well organised bundle of information to its user in the form of a narrative. What happens when the prosopography contains large collections of factoids instead? As figure I suggests, the factoid model used in these projects provides a way that the machine can generate “micro-narratives”—to use the term presented in (Ramsay 2002). These narratives will be richly linked to other data in the system, and different micro-narratives will be generated when one enters from different starting points (say, from a location, rather than from a person), or by traversing links that connect materials in each factoid to the broader database contents. Clearly, a web access mechanism for these databases will need to be significantly more complex than a simple search form which results in a list of selected items. We believe that the best interface to this will provide the blending of a searching and browsing paradigm that is now characteristic of large websites on the WWW. All three projects are now reaching the stages where some detailed exploration of these presentation and selection issues can begin. We will describe some of these issues in more detail during the conference presentation. In moving from article-based to factoid-based prosopography, all three of our projects are participating in the development of a radically new approach to the field. The role of the scholar has clearly altered in our projects. In addition to being ultimately responsible for the projects’ “content”, all project members must work together to ensure that new methodologies are developed which ensure both quality and consistency of information across the large number of individual factoids. The role of the scholarly end-user may also have to change, and here too the project has to work to ensure that the experience of the end-user searching through these factoids is positive and useful. In the end, we are finding new ways that technology can serve these essential scholarly goals.

REFERENCES

John Bradley Harold Short. “Using Formal Structures to Create Complex Relationships: The Prosopography of the Byzantine Empire—A Case Study.” Only Connect: The Use of Computers in Developing Prosopographical Methodology. Ed. K. S. B. Keats-Rohan. Oxford: Unit for Prosopographical Research, Linacre College, 2002.
. Clergy of the Church of England. : ,
D. I. Greenstein. A Historian's Guide to Computing. Oxford: Oxford University Press, 1994. 268.
Ralph-Johannes Lille et al. Prosopographie der mittelbyzantinischen Zeit, Abteilung I: 641-867. Prolegomena and volumes I-VI. Berlin: Walter de Gruyter, 1998.
. Prosopography of Anglo-Saxon England. : ,
. Prosopography of the Byzantine Empire. : ,
Stephen Ramsay. “Relational Ontologies and the New Historicism.” in session Pitty Daniel et al. Multiple Architectures and Multiple Media; The Salem Witch Trials and Boston's Back Bay Fens Projects, at. ALLC/ACH conference: July 2002. : , 2002.
Dion C. Smythe. “Prosopography of the Byzantine Empire.” DRH99: Selected papers from Digital Resources for the Humanities 1999. Ed. M. Deegan H. Short. London: Office for Humanities Communication, 2000. 75-81.
Sean Townsend et al. AHDS Guides to Good Practice: Digitising History. Oxford: Oxbow Books, 1999.