INFO 287-11
SEMINAR IN INFORMATION SCIENCE
TOPIC: LINKED DATA (2 UNITS)
SUMMER 2017 SYLLABUS

Dr. Lei Zhang
E-mail
Office Hours: Email, Blackboard IM, or Collaborate by appointment 


Syllabus Links
Textbooks
CLOs
Competencies
Prerequisites
Resources
Canvas Login and Tutorials
iSchool eBookstore
 

Canvas Information: Courses will be available beginning June 5th, 6 am PT unless you are taking an intensive or a one-unit or two-unit class that starts on a different day. In that case, the class will open on the first day that the class meets. This course is worth 2 units and runs from June 5, 2017, through July 30, 2017.

You will be enrolled into the Canvas site automatically.

Course Description

Principles and applications of linked data for organizing, managing, and sharing information in libraries and other cultural heritage institutions. Focuses on modeling bibliographic data, authority data, and controlled vocabularies as linked data. (Prerequisites: INFO 248 or equivalent experience)

Course Requirements

Assignments

  • Assignment 1 (20%)
    Read and write RDF graphs and serializations. (Supports CLO#1)
  • Assignment 2 (25%)
    Build a simple ontology model, create and run queries. (Supports CLO#1, CLO#2)
  • Assignment 3 (20%)
    Evaluate controlled vocabularies in SKOS. (Supports CLO#3CLO#4)
  • Assignment 4 (25%)
    Create bibliographic descriptions in BIBFRAME. (Supports CLO#3CLO#4)
  • Discussions (10%)
    Review relevant articles and discuss. (Supports CLO#4, CLO#5) 

All assignments are due by 11:59 pm Pacific Time on the due date. Grades will be reduced for late work by ten percent per day late. Please contact the instructor prior to a deadline in cases of illness or emergency.         

Course Calendar

Week Topic
 June 5    Introduction to Semantic Web and Linked Data 
 June 12    RDF data model and serializations
 June 19    RDFS, OWL
 June 26    SPARQL 
 July 3    Modeling traditional controlled vocabularies, i.e., SKOS 
 July 10    Modeling library authority data, i.e., LC Linked Data, OCLC Linked Data 
 July 17    Modeling library bibliographic data, i.e., BIBFRAME 
 July 24    Other applications

Subject to change with fair notice.

Readings

All readings are provided in Canvas.

Course Workload Expectations

Success in this course is based on the expectation that students will spend, for each unit of credit, a minimum of forty-five hours over the length of the course (normally 3 hours per unit per week with 1 of the hours used for lecture) for instruction or preparation/studying or course related activities including but not limited to internships, labs, clinical practica. Other course structures will have equivalent workload expectations as described in the syllabus.

Instructional time may include but is not limited to:
Working on posted modules or lessons prepared by the instructor; discussion forum interactions with the instructor and/or other students; making presentations and getting feedback from the instructor; attending office hours or other synchronous sessions with the instructor.

Student time outside of class:
In any seven-day period, a student is expected to be academically engaged through submitting an academic assignment; taking an exam or an interactive tutorial, or computer-assisted instruction; building websites, blogs, databases, social media presentations; attending a study group;contributing to an academic online discussion; writing papers; reading articles; conducting research; engaging in small group work.

Course Prerequisites

INFO 200, other prerequisites may be added depending on content. 

Course Learning Outcomes

Upon successful completion of the course, students will be able to:

  1. Demonstrate the ability to interpret and create RDF data model and various serialization syntaxes.
  2. Demonstrate the ability to work with Linked Data technologies such as RDFS, OWL and SPARQL.
  3. Evaluate the applications of Linked Data in libraries such as bibliographic data in BIBFRAME and controlled vocabularies in SKOS.
  4. Explain the significance of Linked Data in the practices of cultural heritage institutions and other settings.
  5. Discuss major issues, current developments and future trends in Semantic Web and Linked Data.

Core Competencies

INFO 287 supports the following core competencies:

  1. F Use the basic concepts and principles related to the selection, evaluation, organization, and preservation of physical and digital information items.
  2. G Demonstrate understanding of basic principles and standards involved in organizing information such as classification and controlled vocabulary systems, cataloging systems, metadata schemas or other systems for making information accessible to a particular clientele.
  3. H Demonstrate proficiency in identifying, using, and evaluating current and emerging information and communication technologies.

Textbooks

No Textbooks For This Course.

Grading Scale

The standard SJSU School of Information Grading Scale is utilized for all iSchool courses:

97 to 100 A
94 to 96 A minus
91 to 93 B plus
88 to 90 B
85 to 87 B minus
82 to 84 C plus
79 to 81 C
76 to 78 C minus
73 to 75 D plus
70 to 72 D
67 to 69 D minus
Below 67 F

 

In order to provide consistent guidelines for assessment for graduate level work in the School, these terms are applied to letter grades:

  • C represents Adequate work; a grade of "C" counts for credit for the course;
  • B represents Good work; a grade of "B" clearly meets the standards for graduate level work;
    For core courses in the MLIS program (not MARA or Informatics) — INFO 200, INFO 202, INFO 204 — the iSchool requires that students earn a B in the course. If the grade is less than B (B- or lower) after the first attempt you will be placed on administrative probation. You must repeat the class if you wish to stay in the program. If - on the second attempt - you do not pass the class with a grade of B or better (not B- but B) you will be disqualified.
  • A represents Exceptional work; a grade of "A" will be assigned for outstanding work only.

Students are advised that it is their responsibility to maintain a 3.0 Grade Point Average (GPA).

University Policies

Per University Policy S16-9, university-wide policy information relevant to all courses, such as academic integrity, accommodations, etc. will be available on Office of Graduate and Undergraduate Programs' Syllabus Information web page at:
http://www.sjsu.edu/gup/syllabusinfo/

In order to request an accommodation in a class please contact the Accessible Education Center and register via the MyAEC portal.

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