Information Organization and Retrieval
| Numbering Code |
G-INF02 63285 LE11 G-INF02 63285 LE13 |
Year/Term | 2022 ・ Second semester | |
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| Number of Credits | 2 | Course Type | Lecture | |
| Target Year | Target Student | |||
| Language | English | Day/Period | Thu.2 | |
| Instructor name |
YOSHIKAWA MASATOSHI (Graduate School of Informatics Professor) YAMAMOTO TAKEHIRO (Graduate School of Informatics Assistant Professor) |
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| Outline and Purpose of the Course |
This course introduces the technical foundations of information organization and retrieval for browsing, searching and understanding information: (1) information retrieval (information retrieval models; search, classification, and ranking of Web information; clustering; fuzzy information retrieval) and (2) conceptual modeling of information (semantic data modeling, tempo-spatial information modeling, and multimedia information modeling). Students will learn how information organization and retrieval are carried out by professionals, authors, and users. |
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| Course Goals | Students understand and obtain the knowledge on (1) the basics of information retrieval (concepts, retrieval models, vector space model, relevance feedback, ranking algorithms, performance evaluation criteria etc.) and (2) the basics of information organization (concepts, information clustering, semantic data modeling, data modeling for temporal and spatial data etc.). | |||
| Schedule and Contents |
[1] Information retrieval technology: 7 times Models of information retrieval and performance criteria, Web search, classification, ranking, information clustering, fuzzy information search etc. [2] Conceptual modeling of information: 4 times Concepts and usage of semantic data models for conceptual modeling of information. [3] Modeling tempo-spatial information: 3 times Spatial information modeling (geographic information standards, UML in GIS, fundamental concepts of spatial information modeling), temporal information modeling, and tempo-spatial information modeling. [4] Modeling multimedia information: 1 times Representation methods of multimedia information (text, image, video), modeling methods of multimedia information (timeline model, time interval model, graphic model, petri-net model, augmented transition net model etc.) |
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| Evaluation Methods and Policy |
Grading method: Grade is evaluated by a writing exam and some reports. Evaluation criteria: Understanding and acquiring fundamental concepts, methods and skills of information retrieval (information retrieval models, Web search, classification, ranking, clustering, fuzzy information search etc.) and conceptual modeling of information (semantic data modeling, tempo-spatial information modeling, multimedia information modeling). |
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| Course Requirements | None, but it is desirable that students have introductory knowledge about information retrieval, database, knowledge representation, and object-oriented paradigm. | |||
| Study outside of Class (preparation and review) | Reading assignments are assigned to students. Also, some exercises are assigned as homework. | |||
| Textbooks | Textbooks/References | Course material (slides and prints) will be distributed at the course. | ||
| References, etc. |
“Modern Information Retrieval” (Acm Press Series) March 1999, Ricardo Baeza-Yates and Berthier Ribeiro-Neto, (Addison Wesley) “Introduction to Information Retrieval”July 2008, Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schuetze, (Cambridge University Press) “Semantic database Modeling: Survey, Applications, and Research Issues”1986, Richard Hull and Roger King, (ACM Computing Surveys), Vol.19, No.3, pp.201-260, “Spatial Databases with Application to GIS,”, P.Rigaux, M.Scholl, A.Voisard, (Morgan Kaufmann Publishers), Chapter 3: Logical Models and Query Languages, pp.69-112 2002 An Introduction to Spatial Database Systems Sept. 1994, Ralf Hartmut Guting Spatial Database Systems: Design, Implementation and Project Management, Albert K.W. Yeung and G. Brent Hall, ((GeoJournal Library) Springer, Jan. 2007.) Chapter 6 “TSQL2” in “Advanced Database Systems”, C.Zaniolo,S.Ceri,C.Faloutsos,R.T.Snodgrass, V.S.Subrahmanian, R.Zicari , (Morgan Kaufmann Pub.1997.) Conceptual Modeling for Traditional and Spatio-Temporal Applications: The MADS Approach, Christine Parent, Stefano Spaccapietra, Esteban Zimnyi, (Springer, June 2006.) |
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