The paper presents an overview of AEGIS framework. It lists the framework's features and discusses its architecture from a very high level of abstraction. It also provides some details on indexing structures implemented within the framework and shows some results of experiments performed with the use of this framework. 1. The chosen style (and level of abstraction) allowed the autors to omit some facts that would be interesting for the reader: a) It is written that "The data model is based on the Open Geospatial Consortium (OGC) Simple Feature Access (SFA), OGC Spatial Referencing by Coordinates and ISO19108 Temporal Schema". Does it mean, that classes implemented within the scope of the AEGIS framework match 1:1 the classes described in the mentioned specification? From the description provided it can be deduced, that this is not the case (this is not a direct 1:1 mapping). The question was rised because there exist well known frameworks, that support OGC SFA or can be mapped into it (for example FDO (http://fdo.osgeo.org/), GeoTools (http://www.osgeo.org/geotools)). A few sentences including comparison to these frameworks would clear the situation. b) "Graph representation" is difficult to uderstand. c) In IT world there is a quite difficult problem with ORM mapping (mapping from object model used by programming frameworks into relational model used in databases). The authors mentioned that they use as a backend MongoDB (which is document database) and that support for PostGIS (which is object-relational database) is planned. Thus the question rises - what data model is implemented on the database side? Short explanation would be welcome. d) The interesting issue is "how the rasters are represented on the database side and which interface is used to access them efficiently". Would it be possible to privide some sentences with explanation? Maybe a comparison to GRASS storage would help? 2. Image processing algorithms can work "in place" (like thresholding) or "out place" (like median filtering). This is important for implementation of efficient management of resources. Is this issue considered within the framework? 3. The article could be better shaped with the following corrections: a) The sentence: "Figure 2 shows one layout possibility using thin and thick clients with centralized data storage." should be moved to the other place (maybe to the Communication list item on page 4?). b) Experiment with path planning: A* algorithm is a graph search algorithm, with backtracking, involving heuristics for nodes selection. Assuming that temporal information is not changing (travel time for a particular road segment) an agent can plan the whole route beforehand (before any move). However, if the temporal information is changing during the time (because of the traffic) then such "whole route planning" is not possible. This rises a question - do the agents run in a "whole route plannig" mode? If yes, there should be a correlation between temporal information and congestion observed. The road segments with lower "multiplication parameter" should be choosen by the agents more often then other segments. And since that the congestion observed contradicts the "multiplication parameters" assigned to the road segments. This phenomena can be observed in many multi agent systems (MAS) that share the same knowledge. Thus, the experiment described in the paper should be enriched with a few comments higlighting the meaning of the results obtained. Otherwise the figure 7 can not be interpreted well by the reader without prior knowledge of A* and MAS. If no, there are several issues related to the route planning in MAS (with agents that runs in parallel, interfere and change the temporal data). But these issues are out of the scope of the paper. c) Eperiments with image segmentation Figure 8 without description does not provide any useful information other then "our algotihms work". Thus this figure should be withdrawn from the paper. d) Spelling: sinlge (page 6) shich (page 14)