Web-Based Information Systems
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1 Web-Based Information Systems Prof. dr. Paul De Bra Eindhoven Univ. of Technology Topics Motivation Web Technology Design of Web-Based Information Systems Automatic Generation of Web-Based Interfaces 1
2 Web-Based Information Systems The Web brings database information to the world. This offers huge market potential in B2C and efficiency gains in B2B electronic commerce. Web-based interfaces for databases need to be designed, because of multimedia objects. Heuristics and languages are needed to generate presentations of arbitrary query results. Applications: electronic commerce product selection: the range of available products is taken from the production database. pricing information: presented prices are the same as in the accounting database. on-line ordering: orders are used to steer production and delivery directly. production and delivery tracking: customers can follow production and transportation. after-sales support: documentation (updates) and problem reports are handled through the Web. 2
3 Variants of Web database access A database can be made accessible to users who do not have a database interface. Serverside scripting is used to send queries to the database and translate answers to HTML. Example: TUE phone book, always up to date A Web-site can be populated with data extracted from a database (e.g. at night). Example: UIA phone book, not updated for several years. Basic Web Standards HyperText Transfer Protocol: GET request for information requests; POST request to provide additional information in a request; may have side effects; PUT request to upload information to server. HyperText Markup Language Links generate GET requests for other pages; Imagemaps allow the selection of points or regions of images; Forms send attribute/value pairs to the server. 3
4 Accessing Databases through www The server may forward requests to the database: CGI scripts (Common Gateway Interface) Server-side plug-ins (server dependent) Servlets (Java code executed in the server) Browsers can access databases directly through Javascript, VBscript, Java Applets. Results are usually converted into HTML to be displayed by the browser. Architecture using CGI-scripts 4
5 Translations in WIS Web-server receives forms input, which must be translated into database operations (e.g. into SQL queries or updates). Standards like ODBC and JDBC make it possible to do this in a portable way. Database produces results (in a DBMSdependent format), which must be translated into HTML to send to the browser. When databases can produce results in XML this translation can be done in a portable way. Architecture with Applets 5
6 Presentation of data Traditionally tabular data. Multimedia data require other presentation: The presentation of an object may require a designed layout for multi-media attributes; Few objects fit on the screen; indirect access may be needed, through links or temporal relationships; Some objects may be too large to fit on the screen; they may need to be split up. Navigation through data Databases consist of objects and relationships. Hypermedia applications consist of objects (nodes) and relationships (links). Direct access to objects, as in tables, must be replaced by access through sets of links; Access to different parts of objects must be provided by means of links; Relationships between object types must be translated into link structures. 6
7 Design with OOHDM Conceptual design Build a model of the application domain using OO modeling principles. Navigational design Design how the user can navigate, using indexes and guided tours. Abstract interface design Layout through Abstract Data Views (ADV) Implementation Example of conceptual schema 7
8 Example of navigational design Navigational design (cont.) 8
9 Abstract Interface Design An abstract data view is a formal, object oriented model of an interface object, showing: the static layout structure, including interface appearance of navigational objects and other interface objects (menu bars, buttons). the static relation to navigation objects. how they behave when reacting to external events; in particular how they trigger navigation. (ADVcharts are a derivative of Statecharts) Example Configuration Diagram 9
10 Example ADV The Relationship Management Methodology (RMM) The name RMM is based on the view that hypermedia is a vehicle for managing relationships between information objects. The associated data model is RMDM: Relationship Management Data Model. Transformation of data structure into a data and navigation structure. RMDM enables to describe information objects and navigation mechanisms in hypermedia applications. 10
11 The Relationship Management Data Model (RMDM) RMDM s domain primitives model: entity types; attributes; associative relationships. Slices are groups of attributes, used to split up large groups of diverse attributes into smaller groups of related attributes. Example: a person s home page can be split up into a main slice, biography slice, publication slice, hobby slice. Example: E-R Design 11
12 RMDM Access Primitives RMDM Access Primitives 12
13 Example: Slice Design Example: E-R to RMDM conversion 13
14 Example: RMDM Access Constructs Example: RMDM Access Constructs 14
15 Example: RMDM Access Constructs Example: RMDM Scheme 15
16 Example: Screen Layout Applying RMM 16
17 Applying RMM Real World Examples A simple example with an index structure is the real-estate site of the LMV: An example with indexed guided tours is the real-estate site of the NVM: 17
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20 Shortcomings of RMM For user-defined queries there is no predefined structure for which RMM produces a representation. An extension to RMM is needed to generate hypermedia representations and navigation structures for query results. The exact query specification needs to be considered as well. It is not feasible to design a presentation for every possible query. 20
21 Translation from SQL to RMDM Core of the approach is: 1. Use heuristics to determine a reasonable navigation and presentation for query results. 2. Offer extensions to SQL to allow users to specify alternative navigation and presentation. We distinguish three cases: Query result is single slice. Query result is multiple slices from a single relation. Query result is multiple slices from several relations. Single slice queries (1) Consider relation R with: head slice with attributes ABCD slice Y with EFG, forward link from head slice slice Z with HIJK, forward link from head slice select A,B,C,D from R where C=0; Heuristics lead to: inter-record navigation as for base relation; intra-record navigation starts at slice specified in the select clause; no new volatile slices are created. 21
22 Single slice queries (2) Extensions to SQL: select (E,G) asslice X newhead from R; User can connect new slices through links: select (E,G) aslice X newhead, links (X, head(r)) from R; select (H,K) asslice X, (I,J,K) asslice W, links (head(r),x), (X,W) from R; Multiple slice queries Consider same R with slices X and Y, with X and Y reachable from head through link. select A,B,I,J,K from R; Heuristics lead to: inter-record navigation same as for base relation; intra-record navigation starts at the head slice; no new volatile slices are created 22
23 Multiple relation queries Heuristics lead to: inter-record navigation for the resulting set of records is the same as for the first relation in the from clause; intra-record navigation between base records uses indexed guided tour to connect associated base records; intra-record navigation within base record starts at head slice; no new volatile slices are created; Join structures 23
24 Join structures Example screen shot 24
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