10 research outputs found
Creating and Evaluating Metadata for a Large Legacy Thesis Collection: From 'Vocational Agriculture' (1922) to 'Microemulsion-mediated syntheses' (2004)
Poster prepared for the TxETDa/USETDA Region 3 Joint Conference and revised for upload into repository.In the summer of 2012, Texas A&M University Libraries uploaded more than 16,000 retrospectively-digitized masters-level theses, dating from 1922 to 2004, into our DSpace institutional repository.
Item records for the Retrospective Theses collection were created by mapping existing MARC records, then transforming and enhancing this metadata. Records included fields encoded in our Qualified Dublin
Core schema, as well as the custom Thesis schema developed by the TDL member consortium. MODS metadata records were also generated, to be stored as bitstreams
Intention is commitment with expectation
Modal logics with possible worlds semantics can be used to represent mental
states such as belief, goal, and intention, allowing one to formally describe the
rational behavior of agents. Agent??s beliefs and goals are typically represented in
these logics by primitive modal operators. However, the representation of agent??s
intentions varies greatly between theories. Some logics characterize intention as a
primitive operator, while others define intention in terms of more primitive constructs.
Taking the latter approach is a theory due to Philip Cohen and Hector
Levesque, under which intentions are a special form of commitment or persistent
goal. The theory has motivated theories of speech acts and joint intention
and innovative applications in multiagent systems and industrial robotics. However,
Munindar Singh shows the theory to have certain logical inconsistencies
and permit certain absurd scenarios. This thesis presents a modification of the
theory that preserves the desirable aspects of the original while addressing the
criticism of Singh. This is achieved by the introduction of an additional operator
describing the achievement of expectations, refined assumptions, and new defi-
nitions of intention. The modified theory gives a cogent account of the rational
balance between agents?? action and deliberation, and suggests the use of meansends
reasoning in agent implementations. A rule-based reasoner in Jess facilitates
evaluation of the predictiveness and intuitiveness of the theory, and provides a
prototypical agent based on the theory
Report of the DAMENames Ad Hoc Committee
In early 2018, the DAMEid group requested that Cataloging and Metadata unit examine the metadata needs for the DAME. When analyzing metadata needs in both OAKTrust and Fedora, it became clear that the lack of name authority control was causing serious problems for users, especially in the case of a single author having many entries in the author index. For example, Steven M. Wright, Royce E. Wisenbaker, Professor II in Chemical and Electrical Engineering, has 10 different entries for his name. This problem is caused by the lack of authority control and the inconsistent ways in which names are inputted into Vireo and OAKTrust. In their report to the DAMEid committee, the Metadata and Cataloging librarians strongly suggested that some type of name authority control be implemented within the DAME.
In smaller repositories with few names and fewer entities (e.g., persons, organizations, subjects, etc.), the absence of explicit disambiguation or authority control can be a manageable problem. When only a few authors share a name, it is easy to tell them apart based on the subject matter of the works attached to the name. The problem compounds as collections grow larger and the number of entities with the same name that need to be distinguished from each other increases. For example, in the large OAKTrust IR, it is hard for a user to identify the "Steven Wright" that he or she is looking for, as there are several authors so named with dozens of items in the IR. Another issue that emerges in a system with no authority control – such as OAKTrust – is that an everyday typographical error (an extra space, no period after an initial, misspellings, etc.) results in a new entry in the author list. This results in multiple names for one person and it means that there is no way for a user to easily identify all the works attributed to one author
Report of the DAMENames Ad Hoc Committee
In early 2018, the DAMEid group requested that Cataloging and Metadata unit examine the metadata needs for the DAME. When analyzing metadata needs in both OAKTrust and Fedora, it became clear that the lack of name authority control was causing serious problems for users, especially in the case of a single author having many entries in the author index. For example, Steven M. Wright, Royce E. Wisenbaker, Professor II in Chemical and Electrical Engineering, has 10 different entries for his name. This problem is caused by the lack of authority control and the inconsistent ways in which names are inputted into Vireo and OAKTrust. In their report to the DAMEid committee, the Metadata and Cataloging librarians strongly suggested that some type of name authority control be implemented within the DAME.
In smaller repositories with few names and fewer entities (e.g., persons, organizations, subjects, etc.), the absence of explicit disambiguation or authority control can be a manageable problem. When only a few authors share a name, it is easy to tell them apart based on the subject matter of the works attached to the name. The problem compounds as collections grow larger and the number of entities with the same name that need to be distinguished from each other increases. For example, in the large OAKTrust IR, it is hard for a user to identify the "Steven Wright" that he or she is looking for, as there are several authors so named with dozens of items in the IR. Another issue that emerges in a system with no authority control – such as OAKTrust – is that an everyday typographical error (an extra space, no period after an initial, misspellings, etc.) results in a new entry in the author list. This results in multiple names for one person and it means that there is no way for a user to easily identify all the works attributed to one author
Major Subject: Computer Science
Modal logics with possible worlds semantics can be used to represent mental states such as belief, goal, and intention, allowing one to formally describe the rational behavior of agents. Agent’s beliefs and goals are typically represented in these logics by primitive modal operators. However, the representation of agent’s intentions varies greatly between theories. Some logics characterize intention as a primitive operator, while others define intention in terms of more primitive con-structs. Taking the latter approach is a theory due to Philip Cohen and Hector Levesque, under which intentions are a special form of commitment or persis-tent goal. The theory has motivated theories of speech acts and joint intention and innovative applications in multiagent systems and industrial robotics. How-ever, Munindar Singh shows the theory to have certain logical inconsistencies and permit certain absurd scenarios. This thesis presents a modification of the theory that preserves the desirable aspects of the original while addressing the criticism of Singh. This is achieved by the introduction of an additional operator describing the achievement of expectations, refined assumptions, and new defi-nitions of intention. The modified theory gives a cogent account of the rational balance between agents ’ action and deliberation, and suggests the use of means-ends reasoning in agent implementations. A rule-based reasoner in Jess facilitates evaluation of the predictiveness and intuitiveness of the theory, and provides a prototypical agent based on the theory. ii
Short Rubric Scores for Texas A&M Libraries DAMS Evaluation
Microsoft Excel (xslx) and csv version of the Texas A&M University Libraries DAMS Task Force Short Rubric evaluation of DSpace, Islandora, Hydra/Sufia, Nuxeo, and ResourceSpace.</p
Long Rubric Scores for Texas A&M Libraries DAMS Evaluation
MS Excel file contains 8 worksheets for each Long Rubric evaluation subsection. Each worksheet includes final evaluation scores for DSpace, Islandora, and Hydra/Sufia for that section.
Sections include:
Inputting and Structuring Content
User Management
Ticket/Request/Workflow
Statistics/Reporting
Discover
Relational Linking
Presentation
External Systems
A score of C denotes a feature that was not present, but could be configured. A score of T denotes a solution could not be found in the 20 minute investigation time allotted. Please see details in the associated publication.
The tables in table_long_rubric_scores.xlsx and table_long_rubric_scores.csv contain summary data for the long rubric sections.</p
Campus DAMS Needs Assessment
This dataset contains the DAMS Task Force Campus Needs Assessment Survey as a PDF. Survey Data is provided in MS Excel (xslx) and csv formats.
Survey Results:
Questions with multiple answers: answers are separated by a double pipe (||)
Questions that included other and a free text area are denoted by Other: free text answer provided.
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DI DAMS Evaluation Rubric
Analysis of 25 potential DAMS by Texas A&M Univeristy Libraries IT group (Digital Initiatives). DAMS were scored on the following:
Local Institutional Knowledge
API
Discovery
Documentation
Community Health
Development
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