A Gardener’s Experience of Document Work at a Historic Landscape Site
Research in document work has tended to take a sociocultural perspective. Recent interest in document experience invites the consideration of document work from the perspective of an individual’s lived experience. This paper reports on a holistic, single-case study of how the head gardener at Shofuso Japanese House and Garden, a historic landscape site in Philadelphia, experiences the document work involved in developing a comprehensive garden plan. A hermeneutic analysis of the data reveals how the underlying foundational values of authenticity, education and reducing ambiguity support the process of document work in this case, which involves summoning diverse knowledge, channeling the master and stepping back. This process is punctuated by organizational and historical challenges. These findings suggest that the theoretical framework of foundation–process–challenges may be used to study the lived experience of document work in other cases. Further ramifications are discussed for practice in gardening and historical document work.
“Searching for Inspiration”: User Needs and Search Architecture in Europeana Collections
Drawing upon research and current development work at Europeana, this paper discusses search functionality in the Cultural Heritage sector, focusing in particular on the question of ‘inspiration-oriented’ search, in which users seek out previously-unknown items to serve as creative stimulus. Inspiration-oriented search is identified as a variant of the more widely-studied problem of serendipitous retrieval, and defined as an information-seeking behavior in which users consciously search for items that are related to known items in ways that are recognizable once seen, but that are nevertheless unpredictable at search-time. Various strategies for the maximization of both the recognizability and unpredictability of related items are then described, including user-interface and user-experience changes and the reconceptualization of datastores as knowledge graphs. Directions for further research are then outlined – including, most importantly, possible metrics for inspiration-oriented search and their potential for use in machine-learning ranking frameworks.
Music Subject Classification Based on Lyrics and User Interpretations
That music seekers consider song subject metadata to be helpful in their searching/browsing experience has been noted in prior published research. In an effort to develop a subject-based tagging system, we explored the creation of automatically generated song subject classifications. Our classifications were derived from two different sources of song-related text: 1) lyrics; and, 2) user interpretations of lyrics collected from songmeanings.com. While both sources contain subject-related information, we found that user-generated interpretations always outperformed lyrics in terms of classification accuracy. This suggests that user interpretations are more useful in the subject classification task than lyrics because the semantically ambiguous poetic nature of lyrics tend to confuse classifiers. An examination of top-ranked terms and confusion matrices supported our contention that users’ interpretations work better for detecting the meaning of songs than what is conveyed through lyrics.