### Table 2: Pugh Concept Evaluation of Product Options.

"... In PAGE 7: ... Every other option must be rated on each objective relative to this reference, choosing ranks from the rank set S. The results are shown in Table2 . For example, on the cleanliness objective, the mass-adjustment option could allow more contaminants to enter the product than the do-nothing option, and so is assigned a (?).... ..."

### Table 1. The four concept typical operations of the SPATIAL concept.

"... In PAGE 9: ... The four concept typical operations of the SPATIAL concept. Table1 summarizes these four concept typical operation of the SPATIAL concept. The user implements these four operations for his application, query and index objects and registers them to the Concert kernel system.... ..."

### Table 3: Interval Measurement Chart of Product Options.

"... In PAGE 11: ... For each objective, the remaining options are now ranked, scaling o the base point in proportion to the deviation of the metric. The results are shown in Table3 . For example, on the cleanliness objective, the backstop length adjustment option allows for more contaminants to enter the product, and so is assigned a (?).... In PAGE 11: ... quot; To do this when using the maximum impact normalization, multiply each value by the maximum allowed e ect, and divide by the di erence between the highest and lowest score. For example, the third row in Table3 is multiplied by 2 0 ? ?4 to give the values in the third row of Table 5. The complete modulated results for the entire evaluation are shown in Table 5.... In PAGE 18: ... Similarly, with QFD and small sample sizes, the customer requirement importance factors can be determined with this question. Notice that this implies that importance ratings can only be constructed after the individual ratings are completed ( Table3 ), so that units of each objective are determined. 4.... ..."

### Table 3: Typical Spatial Queries from GIS

1999

"... In PAGE 6: ... (b) Corresponding query tree. Other example GIS queries which can be implemented using OGIS operations are provided in Table3 . The OGIS speci cation is con ned to topological and metric operations on vector data types.... In PAGE 7: ...pace (points, lines, areas). The spaghetti-ring and DCEL focus on the topological concepts. The representation of the eld data model includes a regular tessellation (triangular, square, hexagonal grid), as well as triangular irregular networks (TIN). The spatial queries[7] shown in Table3 are often processed using lter and re ne techniques. Approximate geometry such as the minimal orthogonal bounding rectangle of an extended spatial object is rst used to lter out many irrelevant objects quickly.... ..."

Cited by 17

### Table 3: Typical Spatial Queries from GIS

1999

"... In PAGE 6: ... (b) Corresponding query tree. Other example GIS queries which can be implemented using OGIS operations are provided in Table3 . The OGIS speci cation is con ned to topological and metric operations on vector data types.... In PAGE 7: ...pace (points, lines, areas). The spaghetti-ring and DCEL focus on the topological concepts. The representation of the eld data model includes a regular tessellation (triangular, square, hexagonal grid), as well as triangular irregular networks (TIN). The spatial queries[7] shown in Table3 are often processed using lter and re ne techniques. Approximate geometry such as the minimal orthogonal bounding rectangle of an extended spatial object is rst used to lter out many irrelevant objects quickly.... ..."

Cited by 17

### Table 3: Typical Spatial Queries from GIS

1999

"... In PAGE 6: ... (b) Corresponding query tree. Other example GIS queries which can be implemented using OGIS operations are provided in Table3 . The OGIS speci cation is con ned to topological and metric operations on vector data types.... In PAGE 7: ...pace (points, lines, areas). The spaghetti-ring and DCEL focus on the topological concepts. The representation of the eld data model includes a regular tessellation (triangular, square, hexagonal grid), as well as triangular irregular networks (TIN). The spatial queries[7] shown in Table3 are often processed using lter and re ne techniques. Approximate geometry such as the minimal orthogonal bounding rectangle of an extended spatial object is rst used to lter out many irrelevant objects quickly.... ..."

Cited by 17

### Table 2: A Sample of Spatial Operations

1999

"... In PAGE 5: ... The operations on spatial objects include distance and boundary. The operations on elds include local, focal, and zonal operations, as shown in Table2 . The elds may be continuous, di erentiable, discrete, and isotropic or anisotropic, with positive or negative auto-correlation.... In PAGE 6: ... The OGIS speci cation is con ned to topological and metric operations on vector data types. Other interesting classes of operations are network, direction, dynamic and the eld operations of focal, local and zonal(see Table2 ). While standards for eld based raster data types are still emerging, Map Algebra [33], speci cally designed for cartographic modeling and RaSQL, based on Image Algebra [3], for general multi-dimensional discrete objects(satellite images, X-rays, etc.... In PAGE 12: ... The OGIS speci cation alluded to in Section 2.2 is con ned to topological operators [8] and more work is needed to incorporate relationships which involve directional [29] and metric properties (see Table2 for examples). In addition there has been very little work towards developing data models, data types (e.... ..."

Cited by 17

### Table 2: A Sample of Spatial Operations

1999

"... In PAGE 5: ... The operations on spatial objects include distance and boundary. The operations on elds include local, focal, and zonal operations, as shown in Table2 . The elds may be continuous, di erentiable, discrete, and isotropic or anisotropic, with positive or negative auto-correlation.... In PAGE 6: ... The OGIS speci cation is con ned to topological and metric operations on vector data types. Other interesting classes of operations are network, direction, dynamic and the eld operations of focal, local and zonal(see Table2 ). While standards for eld based raster data types are still emerging, Map Algebra [33], speci cally designed for cartographic modeling and RaSQL, based on Image Algebra [3], for general multi-dimensional discrete objects(satellite images, X-rays, etc.... In PAGE 12: ... The OGIS speci cation alluded to in Section 2.2 is con ned to topological operators [8] and more work is needed to incorporate relationships which involve directional [29] and metric properties (see Table2 for examples). In addition there has been very little work towards developing data models, data types (e.... ..."

Cited by 17

### Table 2: A Sample of Spatial Operations

1999

"... In PAGE 5: ... The operations on spatial objects include distance and boundary. The operations on elds include local, focal, and zonal operations, as shown in Table2 . The elds maybecontinuous, di erentiable, discrete, and isotropic or anisotropic, with positiveor negative auto-correlation.... In PAGE 6: ... The OGIS speci cation is con ned to topological and metric operations on vector data types. Other interesting classes of operations are network, direction, dynamic and the eld operations of focal, local and zonal(see Table2 ). While standards for eld based raster data types are still emerging, Map Algebra [33], speci cally designed for cartographic modeling and RaSQL, based on Image Algebra [3], for general multi-dimensional discrete objects(satellite images, X-rays, etc.... In PAGE 12: ... The OGIS speci cation alluded to in Section 2.2 is con ned to topological operators [8] and more work is needed to incorporate relationships whichinvolve directional [29] and metric properties (see Table2 for examples). In addition there has been very little work towards developing data models, data types (e.... ..."

Cited by 17

### Table 5: General concept matching

in extracted

"... In PAGE 5: ... log is used to reduce potentially large absolute values for rare objects. Several similar concepts are shown in Table5 as an example of applying this metric. Focused concept matching works similarly, except it ac- cumulates for each concept all the distinct predicates that appear in the sentences containing a concept in the subject and a speciflc focus keyword in the object.... In PAGE 6: ... 8. CONCLUSION In this paper we presented a new text database manage- ment system (TDBMS) based on novel algorithms to au- tomatically extract schema from text, perform fuzzy join between extracted entities, and detect similar semantic con- cepts expressed using difierent words ( Table5 , Table 6). We applied it to perform powerful structural search (Table 1) and automatic software comparison (Table 2).... ..."