http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
complex objects, annotation, ontologies, classification, extraction, and security
Synthesis digital library of engineering and computer science
1 online resource (xxvii, 177 pages) : illustrations.
Digital libraries (DLs) have introduced new technologies, as well as leveraging, enhancing, and integrating related technologies, since the early 1990s. These efforts have been enriched through a formal approach, e.g., the 5S (Societies, Scenarios, Spaces, Structures, Streams) framework, which is discussed in two earlier volumes in this series. This volume should help advance work not only in DLs, but also in the WWW and other information systems.
1. Complex objects / Nadia P. Kozievitch and Ricardo da Silva Torres -- 1.1 Introduction -- 1.2 Complex objects -- 1.2.1 Definitions -- 1.2.2 Technologies for handling complex objects -- 1.2.3 Comparison of co-related technologies (DCC, Buckets, OAI-ORE) -- 1.3 Related work -- 1.4 Formalization -- 1.4.1 Complex object -- 1.5 Case study: fingerprint digital library -- 1.5.1 Introduction -- 1.5.2 Integration of digital libraries -- 1.5.3 Implementation -- 1.6 Summary -- 1.7 Exercises and projects --
2. Annotation / Uma Murthy, Lois M. Delcambre, Ricardo da Silva Torres, and Nadia P. Kozievitch -- 2.1 Introduction -- 2.2 Related work -- 2.2.1 Superimposed information -- 2.2.2 Subdocuments and hypertext -- 2.2.3 Subdocuments and SI in digital libraries -- 2.2.4 Subdocuments and annotations -- 2.3 Review of select definitions -- 2.3.1 Complex objects -- 2.4 Formalization and approach to a DL with superimposed information (SI-DL) -- 2.4.1 5S extensions -- 2.4.2 Collections and catalogs -- 2.4.3 Services -- 2.4.4 SI-DL -- 2.5 Case study: using the SI-DL metamodel to describe SuperIDR -- 2.5.1 SuperIDR -- 2.5.2 Analyzing and describing SuperIDR -- 2.6 Summary -- 2.7 Exercises and projects --
3. Ontologies / Seungwon Yang and Mohamed Magdy Gharib Farag -- 3.1 Introduction -- 3.1.1 What is an ontology -- 3.1.2 Kinds of ontologies -- 3.1.3 Ontology languages -- 3.2 Literature review -- 3.2.1 Ontology engineering -- 3.2.2 Ontology and digital libraries -- 3.3 Ontology engineering -- 3.3.1 Methodologies -- 3.3.2 Tools -- 3.3.3 Reasoning ontology -- 3.4 Ontology applications -- 3.4.1 Semantic web -- 3.4.2 Focused crawling -- 3.5 Case study: crisis, tragedy, and recovery (CTR) ontology -- 3.5.1 Approach -- 3.6 Summary -- 3.7 Exercises and projects --
4. Classification / Venkat Srinivasan and Pranav Angara -- 4.1 Introduction -- 4.1.1 Motivation -- 4.1.2 ETDs and NDLTD -- 4.1.3 Problem summary -- 4.1.4 Research questions -- 4.1.5 Contributions of this project -- 4.2 Related work -- 4.2.1 Definitions -- 4.2.2 Hierarchical text classification -- 4.2.3 Naive Bayes classifier -- 4.2.4 Neural networks classifier -- 4.2.5 Search-based strategy -- 4.2.6 Comparative analysis -- 4.2.7 Scalability analysis -- 4.3 5S formalism -- 4.3.1 Streams -- 4.3.2 Structures -- 4.3.3 Spaces -- 4.3.4 Scenarios -- 4.3.5 Societies -- 4.3.6 Formal definition of classification -- 4.3.7 Hierarchical classification -- 4.4 Case study: hierarchical classification of ETDs -- 4.4.1 Building a taxonomy -- 4.4.2 Crawling ETD metadata -- 4.4.3 Categorizing ETDs -- 4.5 Summary -- 4.6 Exercises and projects --
5. Text extraction / Sung Hee Park, Venkat Srinivasan, and Pranav Angara -- 5.1 Introduction -- 5.1.1 Rationale and scope -- 5.1.2 Research topic -- 5.1.3 Problems and applications -- 5.2 Related work -- 5.2.1 Algorithms -- 5.2.2 Feature selection -- 5.3 Formalization -- 5.3.1 Informal definitions -- 5.3.2 Formal definitions -- 5.4 Case studies -- 5.4.1 Document segmentation -- 5.4.2 Reference section extraction -- 5.5 Summary -- 5.6 Exercises and projects --
6. Security / Noha Elsherbiny -- 6.1 Introduction -- 6.2 Basic concepts -- 6.3 Related work -- 6.3.1 Content -- 6.3.2 Performance -- 6.3.3 User -- 6.3.4 Functionality -- 6.3.5 Architecture -- 6.3.6 Quality -- 6.3.7 Policy -- 6.4 Formalization -- 6.4.1 Streams -- 6.4.2 Structures -- 6.4.3 Spaces -- 6.4.4 Scenarios -- 6.4.5 Societies -- 6.4.6 Connecting the Ss -- 6.5 Case studies -- 6.5.1 CTRnet/IDEAL -- 6.5.2 CINET -- 6.6 Summary -- 6.7 Exercises and projects --
Abstract freely available; full-text restricted to subscribers or individual document purchasers.
System requirements: Adobe Acrobat Reader.
Includes bibliographical references (pages 155-173).
Crisis/Tragedy/Recovery network (CTRnet)
Synthesis lectures on information concepts, retrieval, and services ; # 33