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Semantic Digital Libraries
This document discusses improving digital library usability through semantic and social technologies. It presents the problem statement that digital library users lack guidance from librarians and connections with other users and information sources. The hypothesis is that semantic and social technologies can improve information discovery over classic approaches. It outlines an architecture and ontologies for a semantic digital library called SemDL. It also describes a prototype semantic digital library system called JeromeDL and its features like advanced search, social networking, collaborative filtering and browsing. It evaluates JeromeDL against a classic digital library and finds JeromeDL has better usability and user experience.
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Editor's Notes
- #17 (page 6)
- #18 SemDL is a superposition of 3 technologies Our hypothesis is that by introducing semantic and social technologies to digital libraries, we are able to improve information discovery in digital libraries compared to classic approaches: • Users are able to find information more easily. • Precision in searching is improved. • Users’ overall satisfaction with using the digital library to accomplish appointed tasks is increased. • Users are able to retain more information when using a semantic digital library. (page 8)
- #20 Alexandria: UI+Agents, Middleware, Catalog+Resource+Data Engine, Librarian, Outside World DELOS: (Designers, SysAdmins, AppDevels) DLMS -> DLS -> DL (End-Users) Triptych: System (performance) Content (usefulness) User (usability -> System) System: semantic & social services Content: complex resources, dynamic objects, community annotations, semantic annotations User: community, external services Data Abstraction Layer: Access, Index, Registry, Preservation, Transactions, Replications, Reasoning & Inferencing (page 62)
- #21 * Open Digital Rights Language (ODRL) [Iannella, 2002] - XML schemata for Expr.Lang. and data dict - Asset, Permission, Constraint, Requirements, Condition, Rights holder * eXtensible Access Control Marcup Language (XACML) [Moses, 2005] - Rule, Policy, Target, Conditions (page 78)
- #22 This is not an RDF graph - just an overview of concepts (page 92)
- #24 Disadvantages of Typical Collaborative Filtering Although collaborative filtering techniques solve same problems of information seeking, spe- cific collaboration filtering implementations suffer various shortcomings: • A heterophilous diffusion (exchange of information across different socio-economic groups) is neglected in favor of a homophilous diffusion (exchange of information within socio- economic groups) (Canny, 2002). • The security and privacy issues are weakly supported; the reputation and trust among users is usually not developed (Procter and McKinlay, 1997). • When the social network is created automatically by harvesting various databases with advanced algorithms: – The critical mass of registered users is required to provide a satisfiable level of cor- relation to user’s interests (Guo, 1998). – Monopolies are supported (Polat and Du, 2003) because a service provider has to gather a lot of information to become accurate (critical mass). – It is impossible to create a digraph of social connection from most of the commonly used sources; also, the privacy of individuals is often violated (Canny, 2002). • When the user actively uses fora or mailing-lists: – There is no guarantee that there will be an answer to the posted question or that the answer will be thorough. – There might be no expert on the specific field of discourse in the direct social neigh- borhood of the user. • Some systems require that users answer long questionnaires (Shardanand and Maes, 1995; Procter and McKinlay, 1997) in order to find similarities in users’ interests. (page 126)
- #25 (page 133)
- #26 * following Kautz et al, 1997a * Small World Phenonema (Barabasi, 2002) - Zipfian * Bell curved (Groot, 2005) - special types of networks, eg. academics (page 139)
- #27 (page 143)
- #28 * Flamenco (Yee, 2003) * Oren missing: join, filtering on value, union, difference, taxonomy of values, poor accesibility (page 96)
- #29 * left - actual interactions in MBB: sum (filter-browse, search-similar); * right - tree of decision history tree (page 110)
- #30 (page 117)
- #31 (page 117)
- #32 (page 117)
- #33 (page 117)
- #34 (page 117)
- #35 (page 117)
- #36 (page 117)
- #38 - we’ve got phenomenal participation from users form all over the world and fantastic feedback - users create their own customizations and at the same time influence the the main line of development (page 150)
- #39 - here are the most important features of the system- combining semantics, EAC, SN, collaborative (page 150)
- #40 3 layers - detailed scope on services and data layers distinctive layers (page 151)
- #41 3 layers - detailed scope on services and data layers distinctive layers (page 151)
- #42 3 layers - detailed scope on services and data layers distinctive layers (page 151)
- #43 3 layers - detailed scope on services and data layers distinctive layers (page 151)
- #44 (page 156)
- #46 * initial + 3 stages + memory * JeromeDL + DSpace (control group) * (page 169)