"... In PAGE 19: ... Once created, a map object encapsulates all the information needed to compute with it. To retrieve this information, use the methods listed in Table4 . In addition to the syntax polygon(f), parameters(f), etc.... ..."

"... In PAGE 3: ...) with a HTTP address (a URL). Seen as a table [URL, content], the only language available to query the Web is the \type-fetch apos;n read quot; language (see Table1 ). The user actually types a query (which is nothing but a URL) and gets back one or more documents or nothing.... In PAGE 4: ...2 Accessing content What kind of information is available on the Web? One can nd any information, from unstructured documents to highly structured ones (databases), from raw information to information about the Web itself (search engines). But none of the proposed languages associated with the representation of the Web as a hypergraph (see Table1 ) really automatically accesses or understands all this information. Various tools have been successfully developed to index speci c media formats.... In PAGE 4: ... Our smart-cache is a Web view. Most of the above representations (see Table1 ) are page oriented to matchwiththeWeb represented as an hypergraph. However, in order to takeadvantage of IR techniques to analyze the contentofWeb information and retrieve its implicit structure, a ner granularity is required.... ..."

"... In PAGE 9: ...Queries, Retrievals, and Validations The input language of the speci cation also contains inquiries about the knowledge base that is being constructed. The input language is thus a sequence of statements, queries (see Table6 ), retrievals (see Table 7), and validations (see Table 8). A query follows from a knowledge base, and returns something other than the symbol NIL, if its meaning in Table 6 follows from the knowledge base before the query.... In PAGE 9: ... The input language is thus a sequence of statements, queries (see Table 6), retrievals (see Table 7), and validations (see Table 8). A query follows from a knowledge base, and returns something other than the symbol NIL, if its meaning in Table6 follows from the knowledge base before the query. Otherwise, the query is false, and returns the symbol NIL.... ..."

"... In PAGE 9: ...Queries, Retrievals, and Validations The input language of the speci cation also contains inquiries about the knowledge base that is being constructed. The input language is thus a sequence of statements, queries (see Table6 ), retrievals (see Table 7), and validations (see Table 8). A query follows from a knowledge base, and returns something other than the symbol NIL, if its meaning in Table 6 follows from the knowledge base before the query.... In PAGE 9: ... The input language is thus a sequence of statements, queries (see Table 6), retrievals (see Table 7), and validations (see Table 8). A query follows from a knowledge base, and returns something other than the symbol NIL, if its meaning in Table6 follows from the knowledge base before the query. Otherwise, the query is false, and returns the symbol NIL.... ..."

"... In PAGE 8: ... 4 Queries, Retrievals, and Validations The input language of the speci cation also contains inquiries about the knowledge base that is being constructed. The input language is thus a sequence of statements, queries (see Table6 ), retrievals (see Table 7), and validations (see Table 8). A query follows from a knowledge base, and returns something other than the symbol NIL, if its meaning in Table 6 follows from the knowledge base before the query.... In PAGE 8: ... The input language is thus a sequence of statements, queries (see Table 6), retrievals (see Table 7), and validations (see Table 8). A query follows from a knowledge base, and returns something other than the symbol NIL, if its meaning in Table6 follows from the knowledge base before the query. Otherwise, the query is false, and returns the symbol NIL.... ..."

"... In PAGE 3: ... This makes it a desirable target representation for our ontology. For describing our ontology in SHIQ we will use the notation explained in Table2 , that contains denota- tional semantics for our language translation. 4 Mikrokosmos mapping to SHIQ Once we have identi ed DL language we want to use SHIQ and we have described the Mikrokosmos ontology, we can proceed to map it.... ..."

"... In PAGE 5: ... Table1 summarizes the possibilities that we are interested in. Each one of them is represented by a particular treatment of Ty2 as an object language.... In PAGE 16: ...NP ALC8BMBKDCCJC8B4DCB5CL everyone V ALCH ALCGBMCH B4ALDDBMCGB4ALDCBMreadBCB4DCBN DDB5B5B5 AY AR1 ALDDALCGBMCGB4ALDCBMreadBCB4DCBN DDB5B5 AY AR2 ALDDALDCBMreadBCB4DCBN DDB5 reads NP ALC9BMBLDDCJC9B4DDB5CL something VP ALCGBMBLDDCJCGB4ALDCBMreadBCB4DCBN DDB5B5CL AY AL CJALCH ALCGBMCH B4ALDDBMCGB4ALDCBMreadBCB4DCBN DDB5B5B5CLB4ALC9BMBLDDCJC9B4DDB5CLB5 S BLDDBKDCCJreadBCB4DCBN DDB5CL AY AL CJALCGBMBLDDCJCGB4ALDCBMreadBCB4DCBN DDB5B5CLCLB4ALC8BMBKDCCJC9B4DCB5CLB5 4 Discontinuous Representation: LRS In this section, we will introduce a new semantic meta-theory, Lexical Resource Semantics (LRS). The taxonomy of semantic systems in Table1 helps us to locate LRS with respect to the systems that we have sketched above. Just like LF-Ty2, LRS representations specify individual readings.... ..."

"... In PAGE 10: ... The representation of geographic data is a problem that remains unsolved. Table1 summarizes the nine picture query languages discussed above. These languages are designed to meet the objectives of each data-base system.... ..."