Computing Semantic Similarity of Concepts in Knowledge Graphs

Semantic similarity computation: The semantic sim- ilarity computation process takes two inputs: the 126K ad preferences from our FDVT dataset and the 264 key- word

 The expansionary monetary policy measures have had a negative impact on net interest margins both via the reduction in interest rates and –less powerfully- the flattening of the

Jointly estimate this entry game with several outcome equations (fees/rates, credit limits) for bank accounts, credit cards and lines of credit. Use simulation methods to

In our sample, 2890 deals were issued by less reputable underwriters (i.e. a weighted syndication underwriting reputation share below the share of the 7 th largest underwriter

3p orbitals, as shown in Figure 8 for 100 K and Figures S1 and S2 for 300 K structures. As mentioned above, the EXSCI approach has been employed to reduce the

The Dwellers in the Garden of Allah 109... The Dwellers in the Garden of Allah

The second system, (reported in[3]), supports semantic search, based on formal domain knowledge, over non-semantic World Wide Web docu- ments. The semantic search system

In [15], a framework to semi-automate the semantic annotation of Web services (i.e. parameter description based on ontology concepts, semantic service classification, etc.)