A fragmentising interface to a large corpus of digitized text: (Post)humanism and non-consumptive reading via features

While the idea of distant reading does not rule out the possibility of close reading of the individual components of the corpus of digitized text that is being distant-read, this ceases to be the case when parts of the corpus are, for reasons relating to intellectual property, not accessible for consumption through downloading followed by close reading. Copyright restrictions on material in collections of digitized text such as the HathiTrust Digital Library (HTDL) necessitates providing facilities for non-consumptive reading, one of the approaches to which consists of providing users with features from the text in the form of small fragments of text, instead of the text itself. We argue that, contrary to expectation, the fragmentary quality of the features generated by the reading interface does not necessarily imply that the mode of reading enabled and mediated by these features points in an anti-humanist direction. We pose the fragmentariness of the features as paradigmatic of the fragmentation with which digital techniques tend, more generally, to trouble the humanities. We then generalize our argument to put our work on feature-based non-consumptive reading in dialogue with contemporary debates that are currently taking place in philosophy and in cultural theory and criticism about posthumanism and agency. While the locus of agency in such a non-consumptive practice of reading does not coincide with the customary figure of the singular human subject as reader, it is possible to accommodate this fragmentising practice within the terms of an ampler notion of agency imagined as dispersed across an entire technosocial ensemble. When grasped in this way, such a practice of reading may be considered posthumanist but not necessarily antihumanist.Ope

Workset Creation for Scholarly Analysis and Data Capsules (WCSA+DC): Laying the foundations for secure computation with copyrighted data in the HathiTrust Research Center, Phase I

The primary objective of the WCSA+DC project is the seamless integration of the workset model and tools with the Data Capsule framework to provide non-consumptive research access HathiTrust’s massive corpus of data objects, securely and at scale, regardless of copyright status. That is, we plan to surmount the copyright wall on behalf of scholars and their students. Notwithstanding the substantial preliminary work that has been done on both the WCSA and DC fronts, they are both still best characterized as being in the prototyping stages. It is our intention to that this proposed Phase I of the project devote an intense two-year burst of effort to move the suite of WCSA and DC prototypes from the realm of proof-of-concept to that of a firmly integrated at-scale deployment. We plan to concentrate our requested resources on making sure our systems are as secure and robust at scale as possible. Phase I will engage four external research partners. Two of the external partners, Kevin Page (Oxford) and Annika Hinze (Waikato) were recipients of WCSA prototyping sub-awards. We are very glad to propose extending and refining aspects of their prototyping work in the context of WCSA+DC. Two other scholars, Ted Underwood (Illinois) and James Pustejovsky (Brandeis) will play critical roles in Phase I as active participants in the development and refinement of the tools and systems from their particular user-scholar perspectives: Underwood, Digital Humanities (DH); Pustejovsky, Computational Linguistics (CL). The four key outcomes and benefits of the WCSA+DC, Phase I project are: 1. The deployment of a new Workset Builder tool that enhances search and discovery across the entire HTDL by complementing traditional volume-level bibliographic metadata with new metadata derived from a variety of sources at various levels granularity. 2. The creation of Linked Open Data resources to help scholars find, select, integrate and disseminate a wider range of data as part of their scholarly analysis life-cycle. 3. A new Data Capsule framework that integrates worksets, runs at scale, and does both in a secure, non-consumptive, manner. 4. A set of exemplar pre-built Data Capsules that incorporate tools commonly used by both the DH and CL communities that scholars can then customize to their specific needs.Andrew W. Mellon Foundation, grant no. 41500672Ope

Law and Literacy in Non-Consumptive Text Mining: Guiding Researchers Through the Landscape of Computational Text Analysis

395 hlm, 21 c

Workset Creation for Scholarly Analysis: Prototyping Project

Scholars rely on library collections to support their scholarship. Out of these collections, scholars select, organize, and refine the worksets that will answer to their particular research objectives. The requirements for those worksets are becoming increasingly sophisticated and complex, both as humanities scholarship has become more interdisciplinary and as it has become more digital. The HathiTrust is a repository that centrally collects image and text representations of library holdings digitized by the Google Books project and other mass-digitization efforts. The HathiTrust's computational infrastructure is being built to support large-scale manipulation and preservation of these representations, but it organizes them according to catalog records that were created to enable users to find books in a building or to make high-level generalizations about duplicate holdings across libraries, etc. These catalog records were never meant to support the granularity of sorting and selection or works that scholars now expect, much less page-level or chapter-level sorting and selection out of a corpus of billions of pages. The ability to slice through a massive corpus consisting of many different library collections, and out of that to construct the precise workset required for a particular scholarly investigation, is the “game changing” potential of the HathiTrust; understanding how to do that is a research problem, and one that is keenly of interest to the HathiTrust Research Center (HTRC), since we believe that scholarship begins with the selection of appropriate resources. Given the unprecedented size and scope of the HathiTrust corpus—in conjunction with the HTRC’s unique computational access to copyrighted materials—we are proposing a project that will engage scholars in designing tools for exploration, location, and analytic grouping of materials so they can routinely conduct computational scholarship at scale, based on meaningful worksets. “Workset Creation for Scholarly Analysis: Prototyping Project” (WCSA) seeks to address three sets of tightly intertwined research questions regarding 1) enriching the metadata in the HathiTrust corpus, 2) augmenting string-based metadata with URIs to leverage discovery and sharing through external services, and 3) formalizing the notion of collections and worksets in the context of the HathiTrust Research Center. Building upon the model of the Open Annotation Collaboration, the HTRC proposes to release an open, competitive Request for Proposals with the intent to fund four prototyping projects that will build tools for enriching and augmenting metadata for the HathiTrust corpus. Concurrently, the HTRC will work closely with the Center for Informatics Research in Science and Scholarship (CIRSS) to develop and instantiate a set of formal data models that will be used to capture and integrate the outputs of the funded prototyping projects with the larger HathiTrust corpus.Andrew W. Mellon Foundation, grant no. 21300666Ope

Resource Sharing for Multi-Tenant Nosql Data Store in Cloud

Thesis (Ph.D.) - Indiana University, Informatics and Computing, 2015Multi-tenancy hosting of users in cloud NoSQL data stores is favored by cloud providers because it enables resource sharing at low operating cost. Multi-tenancy takes several forms depending on whether the back-end file system is a local file system (LFS) or a parallel file system (PFS), and on whether tenants are independent or share data across tenants In this thesis I focus on and propose solutions to two cases: independent data-local file system, and shared data-parallel file system. In the independent data-local file system case, resource contention occurs under certain conditions in Cassandra and HBase, two state-of-the-art NoSQL stores, causing performance degradation for one tenant by another. We investigate the interference and propose two approaches. The first provides a scheduling scheme that can approximate resource consumption, adapt to workload dynamics and work in a distributed fashion. The second introduces a workload-aware resource reservation approach to prevent interference. The approach relies on a performance model obtained offline and plans the reservation according to different workload resource demands. Results show the approaches together can prevent interference and adapt to dynamic workloads under multi-tenancy. In the shared data-parallel file system case, it has been shown that running a distributed NoSQL store over PFS for shared data across tenants is not cost effective. Overheads are introduced due to the unawareness of the NoSQL store of PFS. This dissertation targets the key-value store (KVS), a specific form of NoSQL stores, and proposes a lightweight KVS over a parallel file system to improve efficiency. The solution is built on an embedded KVS for high performance but uses novel data structures to support concurrent writes, giving capability that embedded KVSs are not designed for. Results show the proposed system outperforms Cassandra and Voldemort in several different workloads