RSS feeds are text-content rich, semantically heterogeneous, dynamic XML element andrnstreamed in an asynchronous and pull strategy. Hence, for efficient retrieval of RSS feed,rnwindow-based and semantic-aware feeds querying operators has been proposed recently. It isrnshown that the use of semantic information improves the relevance of query result at the cost ofrndegrading the efficiency of the system. To benefit from query execution on semantic informationrnwhile keeping the efficiency of the system, we have proposed multi-query optimization strategyrnand semantic load shedding technique. The proposed MQO strategy accepts multiple semanticrnnews feed queries and examines the relationship that exist between each queries with respect torntheir defined window and their semantic similarity. Then, a MQE chain is generated based onrnthe relationship examined for the efficient manipulation of queries at run time. And each time arnnew query arrives, it is added to its appropriate chain. On the other hand, the proposed semanticrnload shedding technique drops non-relevant data elements from a shared window and generatesrna new window with optimal size. The approach first extracts a set of representative keys fromrnmultiple queryâ€˜s search term and then the keys are enhanced semantically with conceptsrnretrieved from knowledge base. Then before Multi-Query execution, using the enhanced key set,rnthe news items in the shared window are classified into relevant and non-relevant classes basedrnon their key content. Those elements in the relevant class is directly chosen to be a member ofrnthe new window and among the elements in the non-relevant class a representative sample isrnselected at random with a controlled sampling precision level to be included into the newrnwindow. The resulting new window contains reduced data elements and yet satisfies the need ofrnall queries in the given MQE chain. The approach is implemented as an operator calledrnquickDrop operator. The operator quickDrop (W, T, K, e) takes four parameters; Wrndenotes a shared window among a set of queries for Multi-Query execution, T denotes thernattribute of the news feed for shedding i.e. title or description, K denotes a set of enhanced keysrnand e denotes the level of precision to be used for sampling and it returns a window with optimalrnnumber of elements. Coordinated with the MQO approach, the proposed semantic load sheddingrntechnique performs efficiently for the performance increase of the system. To validate thernproposed approach, we have developed a prototype and experimental results show a significantrnperformance increase.rnKey Words: SNF Query, NAT, Windows Boundary Similarity Measure, MQE Chain Generator,rnWindow Relationship, MQE Rules, Semantic Load Shedding, QuickDrop Operator.